Publications¶
2023¶
N.Narayan, P. Ganeriwala, R. Jones, M. Matessa, S. Bhattacharyya, J. Davis, H. Purohit and S. Rollini (2023). Assuring Learning-Enabled Increasingly Autonomous System. IEEE SYSCON 2023.
2022¶
Jones, Steven (2022). A Cognitive Architecture Realization of Event Cognition Capabilities, Dissertation.
Assanie, Mazin (2022). Learning General and Correct Procedural Knowledge in a Cognitive Architecture, Dissertation.
Li, Justin, & Boyle, Bryce. (2022) Towards a Computational Model of a Dynamic Feeling of Knowing.
Laird, J. E. (2022) Introduction to Soar. https://arxiv.org/abs/2205.03854
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, and Una-May O’Reilly. (2021). Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO ’21). Association for Computing Machinery, New York, NY, USA, 1907–1915.
Schatz, J., Jones, S. J., & Laird, J. E. (2022). Modeling the Remote Associates Test as Retrievals from Semantic Memory. Cognitive Science, 46(6), e13145
M.A. Rovbo, P.S. Sorokoumov. (2022). Symbolic Control System for a Mobile Robotic Platform Based on SOAR Cognitive Architecture Part of the Studies in Systems, Decision and Control book series (SSDC,volume 419).
Lindes, Peter. (2022). Constructing Meaning, Piece by Piece: A Computational Cognitive Model of Human Sentence Comprehension, Dissertation.
Fei Lou, Qin Zhou, Joel Fuentes, Weichao Ding, and Chunhau Gu (2022). A Soar-Based Space Exploration Algorithm for Mobile Robots, Entropy Journal.
Aaron Mininger, John E. Laird (2022). A Demonstration of Compositional, Hierarchical Interactive Task Learnng, AAAI Conference.
2021¶
John E. Laird (2021). An Analysis and Comparison of ACT-R and Soar, Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems.
Stearns, B. (2021). A Comprehensive Computational Model of PRIMs Theory for Task-Independent Procedural Learning, Dissertation.
Preeti Ramaraj, Charles L. Ortiz, Jr., and Shiwali Mohan (2021). Unpacking Human Teachers’ Intentions For Natural Interactive Task Learning, International Symposium on Robot and Human Interactive Communication (RO-MAN).
Preeti Ramaraj (2021). Robots that Help Humans Build Better Mental Models of Robots, HRI Pioneers Workshop held at the ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Preeti Ramaraj (2021). Robots that Help Humans Build Better Mental Models of Robots, AAAI/SIGAI Doctoral Consortium collocated with the Thirty-Fifth Conference on Artificial Intelligence.
Shiwali Mohan (2021). Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change, ACM Transactions on Interactive Intelligent Systems 11(1), 1-30.
Andrea Stocco, Catherine Sibert, Zoe Steine-Hanson, Natalie Koh, John E. Laird, Christian J. Lebiere, Paul Rosenbloom (2021). Analysis of the human connectome data supports the notion of a “Common Model of Cognition” for human and human-like intelligence across domains, NeuroImage 235(118035), 1-15.
Mininger, A. (2021). Expanding Task Diversity in Explanation-Based Interactive Task Learning, Dissertation.
2020¶
Li, Justin. (2020) Integrating Declarative Long-Term Memory Retrievals into Reinforcement Learning ACS 2020
Hiatt, L., & Jones, S. (2020). An associative learning account for retrieval-induced forgetting, CogSci.
Mohan, S., Klenk, M., Shreve, M., Evans, K., Ang, A., and Maxwell, J. (2020). Characterizing an Analogical Concept Memory for Newellian Cognitive Architectures, Advances in Cognitive Systems.
Lindes, P. (2020). Intelligence and Agency, Journal of Artificial General Intelligence 11(2), 47-49. doi:10.2478/jagi-2020-0003.
Laird, J. E. (2020). Intelligence, Knowledge & Human-like Intelligence, Journal of Artificial General Intelligence 11(2), 41-44. doi:10.2478/jagi-2020-0003.
Ramaraj, P., Klenk, M. and Mohan, S. (2020). Understanding Intentions in Human Teaching to Design Interactive Task Learning Robots, RSS 2020 Workshop: AI & Its Alternatives in Assistive & Collaborative Robotics: Decoding Intent.
Lindes, P. (2020). Constructing Meaning in Small Increments., Poster presented at CogSci 2020. (Handout),
Stearns, B., & Laird, J. E. (2020). Toward Unifying Cognitive Architecture and Neural Task Set Theories, In Proceedings of The 42nd Annual Conference of the Cognitive Science Society (CogSci-20)
Gudwin, R., Rohmer, E., Paraense, A., Froes, E., Gibaut, W., Oliveira, I., Rocha, S., Raizer, K., & Feljan, A. V. (2020). The TROCA Project: An autonomous transportation robot controlled by a cognitive architecture, Cognitive Systems Research, vol. 59, pp. 179-197.
2019¶
Jones, Steven, and John Laird. (2019). Anticipatory Thinking in Cognitive Architectures with Event Cognition Mechanisms, COGSAT@ AAAI Fall Symposium.
Kirk, J. R., & Laird, J. E. (2019). Learning hierarchical symbolic representations to support interactive task learning and knowledge transfer, Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 6095-6102). AAAI Press.
Aaron Mininger and John E. Laird (2019). Using Domain Knowledge to Correct Anchoring Errors in a Cognitive Architecture, Advances in Cognitive Systems.
Preeti Ramaraj, Saurav Sahay, Shachi H. Kumar, Walter S. Lasecki and John E. Laird. (2019). Towards using transparency mechanisms to build better mental models , Advances in Cognitive Systems 7th Goal Reasoning Workshop. Boston, MA.
Peter Lindes (2019). Predictions of a Model of Language Comprehension Compared to Brain Data , Poster at the 17th International Conference on Cognitive Modeling. Abstract.
Aaron Mininger and John E. Laird (2019). Using Domain Knowledge to Correct Anchoring Errors in a Cognitive Architecture , Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems (pp. 1–17). Boston, MA.
Gluck, K. A. and J. E. Laird, eds. 2019. Interactive Task Learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions , Strüngmann Forum Reports, vol. 26, J. R. Lupp, series editor. Cambridge, MA: MIT Press.
2018¶
Stocco, A., Laird, J. E., Lebiere, C., Rosenbloom, P. S. (2018). Empirical Evidence from Neuroimaging Data for a Standard Model of the Mind , Proceedings of the 2018 Cognitive Science Conference, Madison, WI.
Peter Lindes (2018). The Common Model of Cognition and humanlike language comprehension , Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures.
Preeti Ramaraj and John E. Laird (2018). Establishing Common Ground for Learning Robots , RSS 2018: Workshop on Models and Representations for Natural Human-Robot Communication. Pittsburgh, PA.
Bryan Stearns and John E. Laird (2018). Modeling Instruction Fetch in Procedural Learning , Proceedings of the 16th International Conference on Cognitive Modelling (ICCM). Madison, WI.
Jule Schatz, Steven J. Jones, and John E. Laird (2018). An Architecture Approach to Modeling the Remote Associates Test , Proceedings of the 16th International Conference on Cognitive Modelling (ICCM). Madison, WI.
Mininger, A. & Laird J.E. (2018). Interactively Learning a Blend of Goal-Based and Procedural Tasks , National Conference on Artificial Intelligence, AAAI-2018.
Laird, J. E., & Mohan, S. (2018). Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents , National Conference on Artificial Intelligence, AAAI-2018. Senior Track, Winner of Blue Sky Award.
Gudwin, R., Paraense, A., de Paula, S. M., Froes, E., Gibaut, W., Castro, E., Figueiredo, V., & Raizer, K. (2018). An urban traffic controller using the MECA cognitive architecture, Biologically Inspired Cognitive Architectures.
2017¶
Laird, J. E., Lebiere, C. & Rosenbloom, P. S. (2017). A Standard Model for the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics , AI Magazine 38(4).
Lauren Naylor and John E. Laird (2017). Opportunities and Challenges for Incorporating Runtime Ethical Constraints into a Learning Agent . Ann Arbor, Michigan.
Ying Zhao, Emily Mooren, and Nate Derbinsky (2017). \ Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning , Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2, 233-238. Madeira, Portugal.
John E. Laird, Kevin Gluck, John Anderson, Kenneth D. Forbus Odest Chadwicke Jenkins, Christian Lebiere, Dario Salvucci, Matthias Scheutz, Andrea Thomaz, Greg Trafton, Robert E. Wray, Shiwali Mohan, and James R. Kirk (2017). Interactive Task Learning , IEEE Intelligent Systems, 32(4), 6-21, (invited).
Chien Van Dang, Tin Trung Tran, Ki-Jong Gil, Yong-Bin Shin, Jae-Won Choi, Geon-Soo Park, and Jong-Wook Kim (2017). Application of Soar Cognitive Agent Based on Utilitarian Ethics Theory for Home Service Robots. Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). Jeju, Korea.
Peter Lindes, Aaron Mininger, James R. Kirk, and John E. Laird (2017). Grounding Language for Interactive Task Learning. Proceedings of the 1st Workshop on Language Grounding for Robotics at ACL. (Supplemental Material).
Bryan Stearns, Mazin Assanie, John E. Laird (2017). Applying Primitive Elements Theory For Procedural Transfer in Soar. Proceedings of the 15th International Conference on Cognitive Modelling (ICCM). Warwick, UK.
Peter Lindes and John E. Laird (2017). Ambiguity Resolution in a Cognitive Model of Language Comprehension. Proceedings of the 15th International Conference on Cognitive Modelling (ICCM). Warwick, UK.
Peter Lindes and John E. Laird (2017). Cognitive Modeling Approaches to Language Comprehension Using Construction Grammar. Proceedings of The AAAI Spring Symposium on Computational Construction Grammar and Natural Language Understanding.
Emily M. Mooren (2017). Reinforcement learning applications to combat identification. Master’s Thesis. Calhoun: The NPS Institutional Archive.
Chien Van Dang, Tin Trung Tran, Trung Xuan Pham, Ki-Jong Gil, Yong-Bin Shin, and Jong-Wook Kim (2017). Implementation of a Refusable Human-Robot Interaction Task with Humanoid Robot by Connecting Soar and ROS. The Journal of Korea Robotics Society, Volume 12, Issue 1.
2016¶
DiFilippo, N. M. (2016). Framework for the automated disassembly of electronic waste using the Soar cognitive architecture , University of Rhode Island.
J Pérez, E Cerezo, FJ Serón (2016). E-VOX: A Socially Enhanced Semantic ECA. Proceedings of the International Workshop on Social Learning and Multimodal Interaction for Designing Artificial Agents. Tokyo, Japan — November 2016.
Kirk, J., Mininger, A., Laird, J. (2016). Learning task goals interactively with visual demonstrations. Biologically Inspired Cognitive Architectures. New York, New York, 2016.
Kirk, J. and Laird, J. (2016). Learning General and Efficient Representations of Novel Games Through Interactive Instruction. In Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems. Evanston, Illinois
Jones, S. J., Wandzel, A. R., Laird, J. E. (2016). Efficient Computation of Spreading Activation Using Lazy Evaluation. Proceedings of the 14th International Conference on Cognitive Modeling (ICCM). University Park, Pennsylvania
Kirk, J., Mininger, A., and Laird, J. E. (2016). A demonstration of interactive task learning , In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence.
Mininger, A., and Laird, J. E. (2016). Interactively Learning Strategies for Handling References to Unseen or Unknown Objects. In Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems.
Lindes, Peter and John E. Laird (2016). Toward Integrating Cognitive Linguistics and Cognitive Language Processing. Proceedings of the 14th International Conference on Cognitive Modeling (ICCM). University Park, Pennsylvania.
Li, J., Jones, S. J., Mohan, S., Derbinsky, N. (2016). Architectural Mechanisms for Mitigating Uncertainty during Long-Term Declarative Knowledge Access. Proceedings of the 4th Annual Conference on Advances in Cognitive Systems (ACS). Evanston, Illinois.
2015¶
Shiwali Mohan (2015). From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction. Ph.D. Thesis, University of Michigan, 2015.
Mohan, S., Kirk, J., Mininger, A., Laird, J. E., (2015). Agent Requirements for Effective and Efficient Task-Oriented Dialog. AAAI 2015 Fall Symposium Series, 2015.
S. Bhattacharyya, J. Davis, T. Vogl, M. Fix, A. McLean, M. Matessa and L. Smith-Velazquez (2015). Enhancing Autonomy with Trusted Cognitive Modeling. Related presentation: Enhancing Autonomy with Trust: Pilot license to the autonomy.
Li, J., and Laird, J. E. (2015). Spontaneous Retrieval for Prospective Memory: Effects of Encoding Specificity and Retention Interval. Proceedings of the 13th International Conference on Cognitive Modeling (ICCM). Groningen, The Netherlands.
Li, J., and Laird, J. E. (2015). Spontaneous Retrieval from Long-Term Memory in a Cognitive Architecture. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI). Austin, TX.
2014¶
Kirk, J., Laird, J. E. (2014). Interactive task learning for simple games. Advances in Cognitive Systems 3, 11-28.
Laird, J. E., Mohan, S. (2014). A case study of knowledge integration across multiple memories in Soar. Biologically Inspired Cognitive Architectures, 8, 93-99.
Mohan, S., Laird, J. (2014). Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction. Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI).
Laird et al. (2014). Report on the NSF-funded Workshop on Interactive Task Learning **
J.-Y. Puigbo, A. Pumarola, C. Angulo, and Ricardo Tellez (2014). Using a Cognitive Architecture for General-purpose Service Robot Control, Connection Science, Special Issue on AI and Cognition.
2013¶
Joseph Z. Xu (2013). Learning Integrated Relational and Continuous Action Models for Continuous Domains. Ph.D. Thesis, University of Michigan, 2013.
Mohan, S., Mininger, A., Laird, J. E. (2013). Towards an Indexical model of situated comprehension for real-world cognitive agents. Advances in Cognitive Systems 3, 163-182.
Kirk, J. and Laird J. E. (2013). Learning Task Formulations through Situated Interactive Instruction. Proceedings of the 2nd Conference on Advances in Cognitive Systems. Baltimore, Maryland
Mohan, S., Mininger, A., Laird J. E. (2013). Towards an Indexical Model of Situated Language Comprehension for Real-World Cognitive Agents. Proceedings of the 2nd Conference on Advances in Cognitive Systems. Baltimore, Maryland
Laird, J. E. (2013). Reflections on Abstractions for General Artificial Intelligence, AAAI Fall Symposium on Abstractions for Intelligence, Washington, D.C.
Laird, J. E. and Mohan, S. (2013). A Case Study of Knowledge Integration Across Multiple Memories in Soar, AAAI Fall Symposium on Abstractions for Intelligence, Washington, D.C.
Gunetti, P., Dodd, T., Thompson, H. (2013). Simulation of a Soar-Based Autonomous Mission Management System for Unmanned Aircraft, Journal of Aerospace Computing, Information, and Communication, Vol. 10,
No. 2, pp. 53-70. AIAA link
Li, J., Laird, J. (2013). The Computational Problem of Prospective Memory. Proceedings of the 17th International Conference on Cognitive Modeling. Ottawa, Canada
Li, J., Laird, J. (2013). Preemptive Strategies for Overcoming the Forgetting of Goals. Proceedings of the 27th AAAI Conference on Artificial Intelligence. Bellevue, WA.
Mohan, S., Kirk, J., Laird, J. (2013). A Computational Model of Situated Task Learning with Interactive Instruction. Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa, Canada.
Xu, J. Z., Laird, J. E. (2013). Learning Integrated Symbolic and Continuous Action Models for Continuous Domains. Proceedings of the 27th AAAI Conference on Artificial Intelligence. Bellevue, WA.
2012¶
Derbinsky, N., Essl, G. (2012). Exploring Reinforcement Learning for Mobile Percussive Collaboration. Proceedings of the 12th International Conference on New Interfaces for Musical Expression (NIME). Ann Arbor, MI, USA.
Derbinsky, N., Laird, J. E. (2012). Competence-Preserving Retention of Learned Knowledge in Soar’s Working and Procedural Memories. Proceedings of the 11th International Conference on Cognitive Modeling (ICCM). Berlin, Germany.
Derbinsky, N., Laird, J. E. (2012). Computationally Efficient Forgetting via Base-Level Activation. Proceedings of the 11th International Conference on Cognitive Modeling (ICCM). Berlin, Germany.
Derbinsky, N., Li, J., Laird, J. E. (2012). A Multi-Domain Evaluation of Scaling in a General Episodic Memory. Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI). Toronto, Canada.
Derbinsky, N., Li, J., Laird, J. E. (2012). Algorithms for Scaling in a General Episodic Memory (Extended Abstract). Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Valencia, Spain.
Laird, J. E., Kinkade, K. R., Mohan, S., and Xu, J. Z. (2012). Cognitive Robotics using the Soar Cognitive Architecture, 8th International Conference on Cognitive Robotics, (Cognitive Robotics Workshop, Twenty-Sixth Conference on Artificial Intelligence (AAAI-12)), Toronto, CA.
Laird, J. E., Derbinsky, N. and Tinkerhess, M. (2012). Online Determination of Value-Function Structure and Action-value Estimates for Reinforcement Learning in a Cognitive Architecture, Advances in Cognitive Systems, Volume 2, December 2012, Palo Alto, California.
Laird, J.E.: The Soar Cognitive Architecture, 2012, MIT Press.
Laird, J.E. (2012). The Soar Cognitive Architecture, AISB Quarterly, \#134.
Li, J., Derbinsky, N., Laird, J. E. (2012). Functional Interactions between Memory and Recognition Judgments. Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI). Toronto, Canada.
Mohan, S. and Laird, J. E. (2012). Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents, In Proceedings of the 26th AAAI Conference on Artificial Intelligence. (Extended Abstract).
Mohan, S., and Laird, J. E.(2012). Situated Comprehension of Imperative Sentences in Embodied, Cognitive Agents, In The AAAI 2012 Workshop on Grounding Language for Physical Systems, Toronto CA.
Mohan, S., Mininger, A., Kirk, J. and Laird, J. E. (2012). Acquiring Grounded Representations of Words with Situated Interactive Instruction, Advances in Cognitive Systems, Volume 2, December 2012, Palo Alto, California.
Mohan, S., Mininger, A., Kirk, J. and Laird, J. E. (2012). Learning Grounded Language through Situated Interactive Instruction, In Papers from Robots Learning Interactively from Human Teachers (AAAI Fall Symposium Series), November 2012, Washington D.C.
Nuxoll, A. M. Laird, J. E. (2012). Enhancing Intelligent Agents with Episodic Memory, Cognitive systems Research, 17-18,34-48.
Shiquan Zhong, Hongwei Ma, Lizhen Zhou, Xuelian Wang, Shoufeng Ma, and Ning Jia (2012). Guidance Compliance Behavior on VMS Based on SOAR Cognitive Architecture. Mathematical Problems in Engineering, vol. 2012, Article ID 530561, 21 pages.
Stenger A., Fernando B., Heni M. (2012). Autonomous Mission Planning for UAVs: A Cognitive Approach, Proceedings des Deutschen Luft- und Raumfahrtkongress, Berlin, 10.09.-12.09.2012.
Stensrud, B., Purcel, E., Fragomeni, G., Woods, A., Wintermute, S., and Garrity, P. (2012), No More Zombies! High-Fidelity Character Autonomy for Virtual Small-Unit Training, Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) 2012, Orlando, FL, December 3-6, 2012.
Wintermute, S. (2012). Imagery in Cognitive Architecture: Representation and Control at Multiple Levels of Abstraction , Cognitive Systems Research, 19-20,1-29.
2011¶
Derbinsky, N., Essl, G.: Cognitive Architecture in Mobile Music Interactions. Proceedings of the International Conference on New Interfaces for Musical Expression, 104-107. Oslo, Norway.
Derbinsky, N., Laird, J. E.: A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. Proceedings of the 25th AAAI Conference on Artificial Intelligence, 663-668. San Francisco, CA.
Derbinsky, N., Laird, J. E.: Effective and Efficient Management of Soar’s Working Memory via Base-Level Activation. Papers from the 2011 AAAI Fall Symposium Series: Advances in Cognitive Systems. Arlington, VA.
Derbinsky, N., Laird, J. E.: A Preliminary Functional Analysis of Memory in the Word Sense Disambiguation Task. Proceedings of the 2nd Symposium on Human Memory for Artificial Agents, AISB, 25-29. York, England.
Gorski, N. A., Laird, J. E. (2011) Learning to use episodic memory Cognitive Systems Research, 12, 144-153. doi:10.1016/j.cogsys.2010.08.001
Laird, J. E., Derbinsky, N. Tinkerhess, M.: A Case Study in Integrating Probabilistic Decision Making and Learning in a Symbolic Cognitive Architecture: Soar Plays Dice. Papers from the 2011 AAAI Fall Symposium Series: Advances in Cognitive Systems. Arlington, VA.
Laird, J. E., Derbinsky, N., Voigt, J. (2011). Performance Evaluation of Declarative Memory Systems in Soar, Proceedings of the 20th Behavior Representation in Modeling & Simulation Conference, 33-40. Sundance, UT.
Li, J., Laird, J. E.: Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions. Papers from the 2011 AAAI Fall Symposium Series: Advances in Cognitive Systems. Arlington, VA.
Mohan, S., Laird, J. E. (2011).An Object-Oriented Approach to Reinforcement Learning in an Action Game, Proceedings of 7th the Artificial Intelligence for Interactive Digital Entertainment Conference, AIIDE 2011
Mohan, S., Laird, J. E. (2011).Towards Situated, Interactive, Instructable Agents in a Cognitive Architecture, Papers from the 2011 AAAI Fall Symposium Series: Advances in Cognitive Systems. Arlington, VA.
Wang, Y. (2011). Hierarchical Functional Category Learning for Efficient Value Function Approximation in Object-Based Environments. PhD Thesis, University of Michigan
Xu, J. Z., Laird, J. E. (2011). Combining Learned Discrete and Continuous Action Models. Proceedings of the 25th AAAI Conference on Artificial Intelligence. San Francisco, CA.
Lathrop, S., Wintermute, S., Laird, J. E. (2011). Exploring the Functional Advantages of Spatial and Visual Cognition From an Architectural Perspective. Topics in Cognitive Science 3, 796–818.
2010¶
Derbinsky, N., Gorski, N.A.: Exploring the Space of Computational Memory Models. Proceedings of the 1st Symposium on Human Memory for Artificial Agents, AISB, 38-41. Leicester, England.
Derbinsky, N., Laird, J. E., Smith, B.: Towards Efficiently Supporting Large Symbolic Declarative Memories. Proceedings of the 10th International Conference on Cognitive Modeling, 49-54. Philadelphia, PA.
Derbinsky, N., Laird, J.E.: Extending Soar with Dissociated Symbolic Memories. Proceedings of the 1st Symposium on Human Memory for Artificial Agents, AISB, 31-37. Leicester, England.
Gunetti, Dodd, Thompson, A Software Architecture for Autonomous Mission Management and Control, American Institute of Aeronautics and Astronautics, AIAA InfoTech? Aerospace Conference 2010, Paper No. 2010-3305
Gunetti, Thompson, Development and Evaluation of a Multi-Agent System for Gas-Turbine Engine Health Management, Automatic Control in Aerospace Online Journal, Year 3, Number 1, May 2010
Laird, J. E., Wray III, R. E. (2010). Cognitive Architecture Requirements for Achieving AGI. Proceedings of the Third Conference on Artificial General Intelligence (AGI)
Laird, J. E., Xu, J. Z., and Wintermute, S. (2010). Using Diverse Cognitive Mechanisms for Action Modeling. Proceedings of the Tenth International Conference on Cognitive Modeling, Philadelphia, PA.
Wang, Y., Laird, J. E. (2010). Efficient Value Function Approximation with Unsupervised Hierarchical Categorization for a Reinforcement Learning Agent. International Conference on Intelligent Agent Technology (IAT-10), Toronto. (Best Paper Award Nomination)
Wang, Y., Laird, J. E. (2010). A Computational Model of Functional Category Learning in a Cognitive Architecture. Proceedings of the Tenth International Conference on Cognitive Modeling (ICCM-10), Philadelphia, PA.
Wintermute, S. (2010). Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, Georgia
Wintermute, S. (2010). Abstraction, Imagery, and Control in Cognitive Architecture. PhD Thesis, University of Michigan, Ann Arbor.
Xu, J. Z., Laird, J. E. (2010). Instance-Based Online Learning of Deterministic Relational Action Models. Proceedings of the 24th AAAI Conference on Artificial Intelligence. Atlanta, GA.
2009¶
Bloch, M.K. Hierarchical Reinforcement Learning in the Taxicab Domain. (Report No. CCA-TR-2009-02). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan. (2009)
Derbinsky, N., Laird, J.E.: Efficiently Implementing Episodic Memory. Proceedings of the 8th International Conference on Case-Based Reasoning, 403-417. Seattle, WA.
Fridman, N. & Kaminka, G.A. (2009). Comparing Human and Synthetic Group Behaviors: A Model Based on Social Psychology. Proceedings of the 9th International Conference on Cognitive Modeling (ICCM-09). Manchester, UK.
Gorski, N.A., and Laird, J.E. (2009). Evaluating Evaluations: A Comparative Study of Metrics for Comparing Learning Performances (Report No. CCA-TR-2009-05). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan.
Gorski, N.A. & Laird, J.E. (2009). Learning to Use Episodic Memory. Proceedings of the 9th International Conference on Cognitive Modeling (ICCM-09). Manchester, UK.
Jones, R.M., Stensrud, B.S. and Taylor, G. (2009), Knowledge-Rich Intelligent Agents for Special Operations Forces (SOF) TrainingProceedings of the 2009 Special Operations Forces Industry Conference (SOFIC), Tampa, FL. June 2-4, 2009.
Laird, J.E. (2009). Towards Cognitive Robotics, SPIE Defense and Sensing Conferences, Orlando, FL.
Laird, J.E., Derbinsky, N.: A Year of Episodic Memory. Proceedings of the Workshop on Grand Challenges for Reasoning from Experiences, IJCAI, 7-10. Pasadena, CA.
Laird, J.E., Wray, R.E., Marinier, R.P., Langley, P. (2009) Claims and Challenges in Evaluating Human-Level Intelligent Systems, Proceedings of the Second Conference on Artificial General Intelligence.
Langley, P., Laird, J.E., & Rogers, S. (2009). Cognitive architectures: Research issues and challenges. Cognitive Systems Research 10, 141-160.
Lonsdale, D., McGhee, J., Hendrickson, R. & Christensen, C. (2009). Incremental Processing and Resource Usage. Proceedings of the 9th International Conference on Cognitive Modeling (ICCM-09). Manchester, UK.
Mohan, S., Laird, J.E.: Learning to Play Mario. (Report No. CCA-TR-2009-03). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan. (2009)
Rosenbloom, P.S. (2009). Towards a New Cognitive Hourglass: Uniform Implementation of a Cognitive Architecture via Factor Graphs.Proceedings of the 9th International Conference on Cognitive Modeling (ICCM-09). Manchester, UK.
Wintermute, S. (2009). Integrating Reasoning and Action through Simulation. In Proceedings of the Second Conference on Artificial General Intelligence (AGI-09). Arlington, VA.
Wintermute, S. (2009). An Overview of Spatial Processing in Soar/SVS (Report No. CCA-TR-2009-01). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan.
Wintermute, S. (2009). Representing Problems (and Plans) Using Imagery In Papers from the 2009 AAAI Fall Symposium Series: Multi-Representational Architectures for Human-Level Intelligence, Arlington, VA, November 2009. AAAI Press.
Wintermute, S., and Laird, J.E. (2009). Imagery as Compensation for an Imperfect Abstract Problem Representation. In Proceedings of The 31st Annual Conference of the Cognitive Science Society (CogSci-09)
Xu, J., Wintermute, S., Wang, Y. J., Laird, J. Transferring Learned Search Heuristics (Report No. CCA-TR-2009-04). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan. (2009)
2008¶
Gunetti, P., Thompson, H.: A Soar-Based Planning Agent for Gas-Turbine Engine Control and Health Management, Proceedings of the 17th IFAC World Congress, 2008, Volume \# 17, part 1.
Gunetti, Mills, Thompson, A Distributed Intelligent Agent architecture for Gas-Turbine Engine Health Monitoring, Proceedings of the 46th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, 2008
Laird, J. E. (2008). Extending the Soar Cognitive Architecture. In Proceedings of the First Conference on Artificial General Intelligence (AGI-08).
Marinier, R. and Laird, J. E. (2008). Emotion-Driven Reinforcement Learning. CogSci 2008, Washington, D.C.
Marinier, R., Laird, J. E., and Lewis, R. L. (2008). A Computational Unification of Cognitive Behavior and Emotion. Journal of Cognitive Systems Research.
Stensrud, B., Taylor, G., Schricker, B., Montefusco, J. and Maddox, J. (2008), An Intelligent User Interface for Enhancing Computer Generated Forces Proceedings of the 2008 Fall Simulation Interoperability Workshop (SIW), Orlando, FL, September 15-19, 2008.
Wintermute, S. and Laird, J. E. (2008). Bimodal Spatial Reasoning with Continuous Motion. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), Chicago, Illinois
Wintermute, S. and Lathrop, S.D. AI and Mental Imagery. In Papers from the 2008 AAAI Fall Symposium Series: Naturally Inspired AI, Arlington, VA, November 2008. AAAI Press.
2007¶
Cohen, M. A., Ritter, F. E., Haynes, S. R. (2007). Using Reflective Learning to Master Opponent Strategy in a Competitive Environment.Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.
Gorski, N. A. and Laird, J. E. (2007). Investigating Transfer Learning in the Urban Combat Testbed. (Report No. CCA-TR-2007-02). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan.
Hogewoning, E., Broekens, J., Eggermont, J., Bovenkamp, E.G.P. Strategies for Affect-Controlled Action-Selection in Soar-RL. Proceedings of the 2nd. International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC), 2007. Murcia, Spain. LNCS 4528 (pp. 501-510), Springer.
Jones, R. M., Lebiere, C., & Crossman, J. A. (2007). Comparing modeling idioms in ACT-R and Soar. Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.
Lathrop, S.D., and Laird, J.E. (2007). Towards Incorporating Visual Imagery into a Cognitive Architecture. Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.
Magerko, B. Evaluating Preemptive Story Direction in the Interactive Drama Architecture. Journal of Game Development, vol. 3, 2007. In press.
Marinier, R.P., Laird, J.E. 2007. Computational Modeling of Mood and Feeling from Emotion. CogSci 2007. Nashville, TN.
Nuxoll, A. M. and Laird, J. E. (2007). Extending Cognitive Architecture with Episodic Memory. In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI).
Pearson, D., Gorski, N. A., Lewis, R. L., and Laird, J. E. (2007). Storm: A Framework for Biologically-Inspired Cognitive Architecture Research.Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, MI.
Taylor, G., Stensrud, B., Eitelman, S. and Dunham, C. (2007), Towards Automating Airspace Management, Proceedings of the Computational Intelligence for Security and Defense Applications (CISDA) Conference, Honolulu, Hi. April 1-5, 2007.
Wang, Y., and Laird, J.E. 2007. The Importance of Action History in Decision Making and Reinforcement Learning.
Wintermute, S. and Laird, J.E. Predicate Projection in a Bimodal Spatial Reasoning System. Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), Vancouver, Canada
Wintermute, S., Xu, J., and Laird, J.E. SORTS: A Human-Level Approach to Real-Time Strategy AI. Proceedings of the Third Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-07), Stanford, California
Wintermute, S., Xu, J., Irizarry, J. 2007. SORTS: Integrating Soar with a Real-Time Strategy Game (Report No. CCA-TR-2007-01). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan.
Yakir, A., and Kaminka, G. (2007). An Integrated Development Environment and Architecture for Soar-Based Agents. Nineteenth Innovative Applications of Artificial Intelligence Conference (IAAI-07), Vancouver, B.C., Canada.
2006¶
Gorski, N.A., and Laird, J.E. Experiments in Transfer Across Multiple Learning Mechanisms. Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning. Pittsburgh, PA.
Jones, R. M., & Wray, R. E. (2006). Comparative analysis of frameworks for knowledge-intensive agents. AI Magazine 27 (2), 45-56.
Jones, R. M., Crossman, J. A., Lebiere, C., & Best, B. J. (2006). An abstract language for cognitive modeling. Proceedings of the Seventh International Conference on Cognitive Modeling. Trieste, Italy: Edizioni Goliandiche.
Kennedy, W.G., and Trafton, J.G. Long-Term Learning in Soar and ACT-R. Proceedings of the Seventh International Conference on Cognitive Modeling, (pp 162-168). Trieste, Italy: Edizioni Goliardiche.
Konik, T., and Laird, J. 2006. Learning Goal Hierarchies from Structured Observations and Expert Annotations, Machine Learning. 64(1-3) 263-287.
Lathrop, S., and Laird, J.E. 2006. Incorporating Visual Imagery into a Cognitive Architecture: An Initial Theory, Design and Implementation.
Magerko, B., Stensrud, B., and Holt, L. Bringing the Schoolhouse Inside the Box - A Tool for Engaging, Individualized Training. 25th Army Science Conference, 2006. Orlando, FL.
Marinier, R. and Laird, J. A Cognitive Architecture Theory of Comprehension and Appraisal. To be presented at Agent Construction and Emotion 2006, Vienna, Austria, April 2006.
Ritter, F.E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B., Lebiere, C., Jones, R. M., Crossman, J., Lewis, R. L., St. Amant, R., McBride, S. P., Urbas, L., Leuchter, S., & Vera, A. (2006). High-level behavior representation languages revisited. In /Proceedings of the Seventh International Conference on Cognitive Modeling,/ 404-407. Trieste, Italy: Edizioni Goliandiche.
Rosenbloom, R. 2006, A Cognitive Odyssey: From the Power Law of Practice to a General Learning Mechanism and Beyond, in Tutorials in Quantitative Methods for Psychology, 2(2) 6-14.
Stensrud, B., Taylor, G. and Crossman, J., (2006) IF-Soar: A Virtual, Speech-Enabled Agent for Indirect Fire Training, Proceedings of the 25th Army Science Conference, Orlando, FL.
Wang, Y., and Laird, J.E. 2006. Integrating Semantic Memory into a Cognitive Architecture.
2005¶
Chong, R.S., Wray, R.E. Inheriting constraint in hybrid cognitive architectures: Appyling the EASE architecture to performance and learning in a simplified air traffic control task. In K. Gluck and R. Pew, eds, Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation, 237–304. Lawrence Erlbaum Associates, 2005.
Jones, R. M. (2005). An introduction to cognitive architectures for modeling and simulation. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2005./ Orlando, FL.
Magerko, B, Wray, RE, Holt, LS, Stensrud, B. Customizing interactive training through individualized content and increased engagement. In Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) 2005, Orlando, FL, Dec 2005. National Training Systems Association.
Magerko, B. Story Representation and Interactive Drama. 1st Artificial Intelligence and Interactive Digital Entertainment Conference, 2005. Marina Del Rey, CA.
Nason, S. and Laird, J. E. (2005). Soar-RL: Integrating Reinforcement Learning with Soar. Cognitive Systems Research, 6, 51-59.
Pearson, D.J., Laird, J.E. Incremental Learning of Procedural Planning Knowledge in Challenging Environments. To appear in special issue of Computational Intelligence on “Learning to Improve Reasoning”.
Wallace, S. A. S-Assess: A Library for Self-Assessment. In Proceedings of the Fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-05). pp. 256-263. Utrecht, The Netherlands. 2005.
Wray, R.E., Chong, R.S. Comparing cognitive models and human behavior representations: Computational tools for expressing human behavior. Proceedings of the Infotech@Aerospace 2005 Conference, Arlington, VA, Sep 2005. American Institute of Aeronautics and Astronautics.
Wray, R.E., Jones, R.M. An introduction to Soar as an agent architecture. In, R. Sun (ed), Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation, Cambridge University Press, pp 53–78, 2005.
Wray, R.E., Laird, J.E., Nuxoll, A., Stokes, D., Kerfoot, A. Synthetic adversaries for urban combat training. AI Magazine, 26(3):82–92, 2005.
2004¶
Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G., and J.H.C. Reiber (2004). Multi-Agent segmentation of IVUS images. Pattern Recognition, 37, 647-663.
Crossman, J., Wray, R. E., Jones, R. M., & Lebiere, C. (2004). A High Level Symbolic Representation for Behavior Modeling. Paper presented at the 2004 Behavioral Representation in Modeling and Simulation, Arlington, VA.
Jones, R. M. (2004). An introduction to cognitive architectures for modeling and simulation. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2004./ Orlando, FL.
Jones, R. M., & Wray, R. E. (2004). Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents. Paper presented at the AAAI Fall Symposium Series on Achieving Human-level Intelligence through Integrated Systems and Research, Alexandria, VA.
Jones, R. M., & Wray, R. E. (2004). Toward an abstract machine architecture for intelligence. /Proceedings of the 2004 AAAI Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems/.
Jones, R. M., & Wray, R. E. (2004). Toward an abstract machine architecture for intelligence. Paper presented at the AAAI Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems, San Jose, CA.
Jones, R. M., Wallace, A. J., & Wessling, J. (2004). An intelligent synthetic wingman for army rotary wing aircraft. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2004./ Orlando, FL.
Konik, T., and Laird, J. (2004). Learning Goal Hierarchies from Structured Observations and Expert Annotations. In 14th International Conference on Inductive Logic Programming (ILP-2004), Lecture Notes in AI 3194. Springer
Magerko, B. and Laird, J.E. Mediating the Tension Between Plot and Interaction. AAAI Workshop Series: Challenges in Game Artificial Intelligence, 2004. San Jose, California, 108-112.
Magerko, B., Laird, J. E., Assanie, M., Kerfoot, A., Stokes, D., AI Characters and Directors for Interactive Computer Games, Proceedings of the 2004 Innovative Applications of Artificial Intelligence Conference, San Jose, CA, July 2004. AAAI Press.
Marinier, R. and Laird, J. E. (2004). Towards a Comprehensive Computational Model of Emotions and Feelings. International Conference on Cognitive Modelling.
Nason, S. and Laird, J. E., Soar-RL, Integrating Reinforcement Learning with Soar, International Conference on Cognitive Modeling, 2004.
Nuxoll, A., Laird, J. E., A Cognitive Model of Episodic Memory Integrated With a General Cognitive Architecture, International Conference on Cognitive Modeling 2004.
Nuxoll, A., Laird, J., James, M. Comprehensive Working Memory Activation in Soar. International Conference on Cognitive Modeling, Poster, 2004.
Pearson, D. J., Laird, J. E. Redux: Example-Driven Diagrammatic Tools for Rapid Knowledge Acquisition, Proceedings of Behavior Representation in Modeling and Simulation, 2004, Washington, D.C.
Taylor, G., & Wray, R. E. (2004). Behavior Design Patterns: Engineering Human Behavior Models. Paper presented at the 2004 Behavioral Representation in Modeling and Simulation Conference, Arlington, VA.
Wray, R. E., Laird, J. E., Nuxoll, A., Stokes, D., Kerfoot, A., Synthetic Adversaries for Urban Combat Training, Proceedings of the 2004 Innovative Applications of Artificial Intelligence Conference, San Jose, CA, July 2004. AAAI Press.
Wray, R. E., Lisse, S., and Beard, J. Investigating ontology infrastructures for execution-oriented autonomous agents. Papers from the 2004 AAAI Spring Symposium Series: Knowledge Representation and Ontology for Autonomous Systems, Stanford, CA, March 2004. AAAI Press.
2003¶
Biddle, E. S., Henninger, A., Franceschini, R., & Jones, R. M. (2003). Emotion modeling to enhance behavior representation: A survey of approaches. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2003. /Orlando, FL.
Chong, R. S., and Wray, R. E. RULEX-EM: Incorporating exemplars and memory effects in a hypothesis-testing model of category learning. Proceedings of the First European Cognitive Science Conference, Osnabrueck, Germany, Sep 2003. Lawrence Erlbaum Associates.
Henninger, A. E., Jones, R. M., & Chown, E. (2003). Behaviors that emerge from emotion and cognition: Implementation and evaluation of a symbolic-connectionist architecture. /Proceedings of the Seventh International Conference on Autonomous Agents/.
Jones, R. M., & Wray, R. E., III. (2003). Design principles for heavy intelligent agents. /Proceedings of the Seventh International Conference on Autonomous Agents/. Melbourne, Australia.
Kennedy, W.G., and De Jong, K.A. Characteristics of long-term learning in Soar and its application to the utility problem. In Proceedings of the fifth international conference on machine learning (pp. 337-344). Menlo Park: AAAI Press.
Magerko, B. and Laird, J. “Building an Interactive Drama Architecture” 1st International Conference on Technologies for Interactive Digital Storytelling and Entertainment, Darmstadt, Germany, March 2003.
Pearson, D. J., Laird, J. E. “Example-driven Diagrammatic Tools For Rapid Knowledge Acquisition”, Visualizing Information in Knowledge Engineering (2003). A workshop at K-CAP 2003 (Second International Conference on Knowledge Capture). Oct 2003.
Wallace, S. Validating Complex Agent Behavior, Ph.D. Thesis University of Michigan, Ann Arbor, MI, 2003.
Wallace. S. A., Laird, J. E. Comparing Agents and Humans Using Behavioral Bounding. International Joint Conference on Artificial Intelligence (IJCAI-03).
Wray, R.E., and Chong, R. S. Quantitative Explorations of Category Learning using Symbolic Concept Acquisition. Proceedings of the 5th International Conference on Cognitive Modeling. Bamberg, Germany. April, 2003.
Wray, R.E., Laird, J. E. (2003) “Variability in Human Behavior Modeling for Military Simulations”, Behavior Representation in Modeling and Simulation Conference. Scottsdale, AZ.
Wray, R.E., Laird, J. E. An architectural approach to consistency in hierarchical execution. Journal of Artificial Intelligence Research. 19. 355–398. 2003.
2002¶
Chown, E., Jones, R. M., & Henninger, A. E. (2002). An architecture for emotional decision-making agents. /Proceedings of the Sixth International Conference on Autonomous Agents./ Bologna, Italy.
Henninger, A. E., Jones, R. M., & Chown, E. (2002). Behaviors that emerge from emotion and cognition: A first evaluation. /Proceedings of the Interservice/Industry Training /Simulation and Education Conference 2002/. Orlando, FL.
Jones, R. M., Henninger, A. E., & Chown, E. (2002). Interfacing behavior moderators with intelligent synthetic forces. /Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation./ Orlando, FL.
Laird, J.E., Assanie, M., Bachelor, B., Benninghoff, N., Enam, S., Jones, B., Kerfoot, A., Lauver, C., Magerko, B., Sheiman, J. Stokes, D. Wallace, S. A Testbed for Developing Intelligent Synthetic Characters. In Artificial Intelligence and Interactive Entertainment: Papers from the 2002 AAAI Spring Symposium, 2002. Menlo Park, CA.
Taylor, G. E., Jones, R. M., Goldstein, M. and Frederiksen, R. and Wray, R. E. VISTA: A Generic Toolkit for Visualizing Agent Behavior. Proceedings of the Eleventh Conference on Computer Generated Forces and Behavioral Representation. Institute for Simulation and Training. pp. 157–167. May 2002.
Wray, R. E., Beisaw, J. C., Jones, R. M., Koss, F. V., Nielsen, P. E. and Taylor, G. E. General, maintainable, extensible communications for computer generated forces. Proceedings of the Eleventh Conference on Computer Generated Forces and Behavioral Representation. Institute for Simulation and Training. pp. 563–570. May 2002.
Wray, R. E., Laird, J. E., Nuxoll, A., & Jones, R. M. (2002). Intelligent opponents for virtual reality trainers. /Proceedings of the Interservice/Industry Training /Simulation and Education Conference 2002/. Orlando, FL.
Zachary, W., Jones, R. M., & Taylor, G. (2002). How to communicate to users what is inside a cognitive model. /Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation./ Orlando, FL.
2001¶
Henninger, A. E., Jones, R. M., & Chown, E. (2001). A symbolic-connectionist framework for representing emotions in computer generated forces. /Proceedings of the Interservice/Industry Training /Simulation and Education Conference 2001/. Orlando, FL.
Jones, R. M., Chown, E., & Henninger, A. E. (2001). A hybrid symbolic-connectionist approach to modeling emotions. /Emotional and intelligent II: The tangled knot of social cognition, /papers from the 2001 Fall symposium (Technical Report no. FS-01-02). Menlo Park, CA: AAAI Press.
Wray, R. E. and Jones, R. M. Resolving contentions between initial and learned knowledge. In Proceedings of the 2001 International Conference on Artificial Intelligence, Las Vegas, NV, June 2001.
2000¶
Jones, R. M., & Kenny, P. G. (2000). Lessons learned from integrating STOW technology into an operational naval environment. /Proceedings of the 2000 Spring Simulation Interoperability Workshop/. Orlando, FL.
Nielsen, P. E., Koss, F. V., Taylor, G. E., & Jones, R. M. (2000). Communication with intelligent agents. /Proceedings of the Interservice/Industry Training Simulation and Education Conference 2000 /(pp. 824-834). Orlando, FL.
1999¶
Jones, R. M. (1999). Graphical visualization of situational awareness and mental state for intelligent computer-generated forces. /Proceedings of the Eighth Conference on Computer Generated Forces and Behavioral Representation/, 219-222. Orlando, FL.
Jones, R. M., Laird, J. E., Nielsen, P. E., Coulter, K. J., Kenny, P., & Koss, F. V. (1999). Automated intelligent pilots for combat flight simulation. /AI Magazine, 20/(1), 27-41.
Ritter, F. E., Jones, R. M., & Baxter, G. D. (1999). Reusable models and graphical interfaces: Realising the potential of a unified theory of cognition. In U. Schmid, J. Krems, & F. Wysotzki (Eds.), /Mind modeling: A cognitive science approach to reasoning, learning and discovery /(pp. 83-109). Lengerich, Germany: Pabst Scientific.
1998¶
Jones, R. M. (1998). A graphical user interface for human control of intelligent synthetic forces. /Proceedings of the Seventh Conference on Computer Generated Forces and Behavioral Representation/. Orlando, FL.
Jones, R. M., Laird, J. E., & Nielsen P. E. (1998). Automated intelligent pilots for combat flight simulation. /Proceedings of the Tenth Annual Conference on Innovative Applications of Artificial Intelligence/, 1047-1054. Menlo Park, CA: AAAI Press.
Jones, R. M., Laird, J. E., & Nielsen P. E. (1998). Real-time intelligent characters for a non-visual simulation environment. /Proceedings of the Computer Animation ’98 Conference/.
Jones, R. M., Neville, K., & Laird, J. E. (1998). Modeling pilot fatigue with a synthetic behavior model. /Proceedings of the Seventh Conference on Computer Generated Forces and Behavioral Representation/. Orlando, FL.
Laird, J. E., & Jones R. M. (1998). Building advanced autonomous AI systems for large scale real time simulations. /Proceedings of the/ /Computer Game Developers Conference, /365-378. Long Beach, CA: Miller Freeman.
Laird, J. E., Coulter, K. J., Jones, R. M., Kenny, P. G., Koss, F., & Nielsen, P. E. (1998). Integrating intelligent computer generated forces in distributed simulations: TacAir-Soar in STOW-97. /Proceedings of the 1998 Spring Simulation Interoperability Workshop. Orlando, FL.
Laird, J. E., Jones, R. M., & Nielsen, P. E. (1998). Lessons learned from TacAir-Soar in STOW-97. /Proceedings of the Seventh Conference on Computer Generated Forces and Behavioral Representation/. Orlando, FL.
Wray, R. E. and Laird, J. E. Maintaining consistency in hierarchical reasoning. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, pages 928–935, Madison, Wisconsin, 1998.
1997¶
Jones, R. M., & Laird, J. E. (1997). Constraints on the design of a high-level model of cognition. /Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society.
1996¶
Jones, R. M., Laird, J. E., & Nielsen, P. E. (1996). Moving intelligent automated forces into theater-level scenarios. /Proceedings of the Sixth Conference on Computer Generated Forces and Behavioral Representation/, 113-117. Orlando, FL.
Laird, J. E., Pearson, D. J., Jones, R. M., & Wray, R. E., III. (1996). Dynamic knowledge integration during plan execution. /Plan execution: Problems and issues, /papers from the 1996 Fall symposium (Technical Report No. FS-96-01). Menlo Park, CA: AAAI Press.
1992¶
Brian G. Milnes, Garrett Pelton, Robert Doorenbos, Mike H Laird, Paul Rosenbloom, and Allen Newell. 1992. A Specification of the Soar Cognitive Architecture in Z. Technical Report. Carnegie Mellon Univ., Pittsburgh, PA, USA.