References
- Ackley, D. H.; Hinton, G. E.; and Sejnowski, T. J. 1985. A Learning Algorithm for Boltzmann Machines. Cognitive Science. 9: 147-169.
- Adler, A.; Dasgupta, P.; Depalma, N.; Eslami, M.; Freedman, R. G.; Laird, J. E.; Lebiere, C.; Lohan, K.; Mead, R.; Roberts, M.; Rosenbloom, P. S.; Senft, E.; Stein, F.; Williams, T.; Wray, K. H.; Yaman, F.; and Zilberstein, S. 2019. Reports of the 2018 AAAI Fall Symposium. AI Magazine. 40: 66-72.
- Amant, R. 2013. Computing for Ordinary Mortals. Oxford, UK: Oxford University Press.
- Anderson, J. R. 1976. Language, Memory and Thought. Hillsdale, NJ: Erlbaum Associates.
- Anderson, J. R. 1983. The Architecture of Cognition. Cambridge, MA: Harvard University Press.
- Anderson, J. R.; Bothell, D.; Byrne, M. D.; Douglass, S.; Lebiere, C.; and Qin, Y. 2004. An Integrated Theory of the Mind. Psychological Review. 111: 1036-1060.
- Anderson, J. R.; and Bower, G. H. 1973. Human Associative Memory. Hillsdale, NJ: Lawrence Erlbaum Associates.
- Arens, Y.; and Rosenbloom, P. eds. 2002. Responding to the Unexpected: Report of the Workshop Held in New York City, February 27-March 1, 2002.
- Bell, C. G.; and Newell, A. 1971. Computer Structures: Readings and Examples. New York, NY: McGraw-Hill.
- Brown, T. B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D. M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I; and Amodei, D. 2020. Language Models are Few-Shot Learners. In Proceedings of the Thirty-Fourth Conference on Neural Information Processing Systems, 1877–1901.
- Card, S.; Moran, T.; and Newell, A. 1983. The Psychology of Human Computer Interaction. Hillsdale, NJ: Lawrence Erlbaum Associates.
- Chen, J.; Demski, A.; Han, T.; Morency, L-P.; Pynadath, D.; Rafidi, N.; and Rosenbloom, P. S. 2011. Fusing Symbolic and Decision-Theoretic Problem Solving + Perception in a Graphical Cognitive Architecture. In Proceedings of the Second International Conference on Biologically Inspired Cognitive Architectures, 64-72.
- Cho, B.; Rosenbloom, P. S.; and Dolan, C. P. 1991. Neuro-Soar: A Neural-Network Architecture for Goal-Oriented Behavior. In Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society, 673-677.
- Chomsky, N. 1965. Aspects of the Theory of Syntax. Cambridge, MA: MIT Press.
- Cooper, R.; Fox, J.; Farringdom, J.; and Shallice, T. 1996. Towards a Systematic Methodology for Cognitive Modelling. Artificial Intelligence. 85: 3-44.
- Dasgupta, S. 2016. Computer Science: A Very Short Introduction. Oxford, UK: Oxford University Press.
- Demski, A. 2022. Cognitive Equations: Fixed-Point Finding as an Intermediate Layer in Cognitive Architecture. PhD Dissertation, University of Southern California.
- Denning, P. J. 2005. Is Computer Science Science? Communications of the ACM. 48: 27-31.
- Denning, P. J. 2007. Computing is a Natural Science. Communications of the ACM. 50: 13-18.
- Denning, P. J. 2013. The Science in Computer Science. Communications of the ACM. 56: 35-38.
- Denning, P. J.; and Rosenbloom, P. S. 2009. Computing: The Fourth Great Domain of Science. Communications of the ACM. 52: 27-29.
- Eisner, J.; and Filardo, N. W. 2011. Dyna: Extending Datalog for Modern AI. In Datalog Reloaded ed. O. de Moor; G. Gottlob; T. Furche; and A. Sellers. Berlin, Germany: Springer-Verlag.
- Eliasmith, C. 2013. How to Build a Brain: An Architecture for Neurobiological Cognition. New York, NY: Oxford University Press.
- Feigenbaum, E. 1992. Expert Systems: Principles and Practice. Stanford KSL Tech. Report 91-79.
- Fitts, P. M.; and Seeger, C. 1953. S-R Compatibility: Spatial Characteristics of Stimulus and Response Codes. Journal of Experimental Psychology. 46: 199–210.
- Flenner, A.; Fraune, M. R.; Hiatt, L. M.; Kendall, T.; Laird, J. E.; Lebiere, C.; Rosenbloom, P. S.; Stein, F.; Topp, E. A.; Unhelkar, V. V.; and Zhao, Y. 2018. Reports of the AAAI 2017 Fall Symposium Series. AI Magazine. 39: 81-86.
- Forgy, C. L. 1982. Rete: A Fast Algorithm for the Many Pattern/Many Object Pattern Match Problem. Artificial Intelligence. 19: 17-37.
- François J. 1977. Evolution and Tinkering. Science. 196: 1161–1166.
- Frey, P. W. 1981. The Santa Cruz Open Othello Tournament for Computers. BYTE. 6: 26-37.
- Getoor, L.; and Taskar, B. 2007. Introduction to Statistical Relational Learning. Cambridge, MA: MIT Press.
- Gilbey, J. 2012. Virtually There. Nature. 491: 331.
- Gluck, K. A.; and Laird, J. E. eds. 2019. Interactive Task Learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions. Cambridge, MA: MIT Press.
- Hennessy, J. L.; and Patterson, D. A. 2012. Computer Architecture: A Quantitative Approach (5th Edition). Waltham, MA: Morgan Kaufmann.
- Hill, R. W.; Chen, J.; Gratch, J.; Rosenbloom, P. S.; and Tambe, M. 1997. Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft. In Proceedings, Ninth Conference on Innovative Applications of Artificial Intelligence, 1006-1012.
- Hossenfelder, S. 2018. Lost in Math: How Beauty Leads Physics Astray. New York, NY: Basic Books.
- Jilk, D. J.; Lebiere, C.; O’Reilly, R. C.; and Anderson, J. R. 2008. SAL: An Explicitly Pluralistic Cognitive Architecture. Journal of Experimental & Theoretical Artificial Intelligence. 20: 197-218.
- John, B. E.; and Newell, A. 1990. Toward an Engineering Model of Stimulus-Response Compatibility. In Stimulus-Response Compatibility: An Integrated Perspective eds. R. W. Proctor; and T. G. Reeve. Amsterdam: North-Holland.
- John, B. E.; Rosenbloom, P. S.; and Newell, A. 1985. A Theory of Stimulus-Response Compatibility Applied to Human-Computer Interaction. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 212-219.
- Jones, R. M.; Laird, J. E.; Nielsen, P. E.; Coulter, K. J.; Kenny, P.; and Koss, F. V. 1999. Automated intelligent pilots for combat flight simulation. AI Magazine. 20: 27-41.
- Joshi, H.; Rosenbloom, P. S.; and Ustun, V. 2014. Isolated Word Recognition in the Sigma Cognitive Architecture. Biologically Inspired Cognitive Architecture. 10: 1-9.
- Joshi, H.; Rosenbloom, P. S.; and Ustun, V. 2016. Continuous Phone Recognition in the Sigma Cognitive Architecture. Biologically Inspired Cognitive Architectures. 18: 23-32.
- Kivunja, C. 2018. Distinguishing between Theory, Theoretical Framework, and Conceptual Framework: A Systematic Review of Lessons from the Field. International Journal of Higher Education. 7: 44-53.
- Koller, D.; and Friedman, N. 2009. Probabilistic Graphical Models: Principles and Techniques. Cambridge, MA: MIT Press.
- Kotseruba, I.; and Tsotsos, J. K. 2020. 40 years of Cognitive Architectures: Core Cognitive Abilities and Practical Applications. Artificial Intelligence Review. 53: 17-94.
- Koza, J. R. 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: MIT Press.
- Kschischang, F. R.; Frey, B. J.; and Loeliger, H. 2001. Factor Graphs and the Sum-Product Algorithm. IEEE Transactions on Information Theory. 47: 498-519.
- Kuhn, T. 1962. The Structure of Scientific Revolutions. Chicago, IL: University of Chicago Press.
- Lacroix, G. L.; and Cousineau, D. 2007. The Introduction to the Special Issue on “RT(N) = a + b N-c: The Power Law of Learning 25 Years Later.” Tutorials in Quantitative Methods for Psychology. 2: 77-83.
- Laird, J. E. 1984. Universal Subgoaling. Ph.D. Thesis, Carnegie-Mellon University.
- Laird, J. E. 2012. The Soar Cognitive Architecture. Cambridge, MA: MIT Press.
- Laird, J. E. 2022. Introduction to Soar. arXiv:2205.03854.
- Laird, J. E.; Lebiere, C.; and Rosenbloom, P. S. 2017. A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. AI Magazine. 38: 13-26.
- Laird, J.E.; and Newell, A. 1983. A Universal Weak Method: Summary of Results. In Proceedings of the International Joint Conference on Artificial Intelligence, 771-773.
- Laird, J. E.; Newell, A.; and Rosenbloom, P. S. 1987. Soar: An Architecture for General Intelligence. Artificial Intelligence. 33: 1-64.
- Laird, J. E.; and Rosenbloom, P. S. 1990. Integrating Execution, Planning, and Learning in Soar for External Environments. In Proceedings of the Eighth National Conference on Artificial Intelligence, 1022-1029.
- Laird, J. E.; and Rosenbloom, P. S. 1992. In Pursuit of Mind: The Research of Allen Newell. AI Magazine. 13: 17-45.
- Laird, J. E.; and Rosenbloom, P. S. 1996. The Evolution of the Soar Cognitive Architecture. In Mind Matters: A Tribute to Allen Newell eds. D. M. Steier; and T. M. Mitchell. Mahwah, NJ: Lawrence Erlbaum Associates.
- Laird, J. E.; Rosenbloom, P. S.; and Newell, A. 1984. Towards Chunking as a General Learning Mechanism. In Proceedings of the National Conference on Artificial Intelligence, 188-192.
- Laird, J. E.; Rosenbloom, P. S.; and Newell, A. 1986a. Chunking in Soar: The Anatomy of a General Learning Mechanism. Machine Learning. 1: 11-46.
- Laird, J. E.; Rosenbloom, P. S.; and Newell, A. 1986b. Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies. Hingham, MA: Kluwer Academic Publishers.
- Lakatos, I. 1978. The Methodology of Scientific Research Programmes: Philosophical Papers Volume 1. Cambridge, UK: Cambridge University Press.
- Langley, P.; Laird, J. E.; and Rogers, S. 2009. Cognitive Architectures: Research Issues and Challenges. Cognitive Systems Research. 10: 141-160.
- Langley, P.; Thompson, K.; Iba, W.; Gennari, J.; and Allen, A. J. 1989. An Integrated Cognitive Architecture for Autonomous Agents. Technical Report 89-28 Department of Information & Computer Science, University of California, Irvine, CA.
- Larue, O.; West, R.; Rosenbloom, P. S.; Dancy, C. L.; Samsonovich, A. V.; Petters, D.; and Juvina, I. 2018. Emotion in the Common Model of Cognition. Procedia Computer Science. 145: 730-739.
- LeCun, Y. 2022. A Path Towards Autonomous Machine Intelligence, Version 0.9.2, 2022-06-27.
- LeCun, Y.; Bengio, Y.; and Hinton, G. E. 2015. Deep Learning. Nature. 521: 436-444.
- Lehman, J. F.; Laird, J. E.; and Rosenbloom, P. S. 1998. A Gentle Introduction to Soar, an Architecture for Human Cognition. In An Invitation to Cognitive Science (Second Edition), Volume 4: Methods, Models and Conceptual Issues eds. D. N. Osherson; S. Sternberg; and D. Scarborough. Cambridge, MA: MIT Press.
- Lehman, J. F.; Lewis, R. L.; and Newell, A. 1991. Integrating Knowledge Sources in Language Cpmprehension. In Proceedings of the Thirteenth Annual Conferences of the Cognitive Science Society 461-466.
- Lenat, D. B. 1983. Eurisko: A Program that Learns new Heuristics and Domain Concepts. Artificial Intelligence. 21: 61-98.
- Lenat, D. B.; and Guha, R. V. 1989. Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project. Boston, MA: Addison-Wesley Longman.
- Linnaeus, C. 1735. Systema Naturæ.
- Marino, M. C. 2020. Critical Code Studies. Cambridge, MA: MIT Press.
- McCulloch, W. S.; and Pitts, W. 1943. A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics. 5: 115-133.
- Miller, G. A. 1956. The Magical Number Seven, Plus or Minus Two: Some Limits on our Capacity for Processing Information. Psychological Review. 63: 81-97.
- Milnes, B. G.; Pelton, G.; Doorenbos, R.; Hucka, M.; Laird, J.; Rosenbloom, P.; and Newell, A 1992. A Specification of the Soar Cognitive Architecture in Z. Carnegie Mellon University, USA, Technical Report.
- Minsky, M.; and Papert, S. 1969. Perceptrons. Cambridge, MA: MIT Press.
- Newell, A. 1973. You Can’t Play 20 Questions with Nature and Win: Projective Comments on the Papers of this Symposium. In Visual Information Processing: Proceedings of the Eighth Annual Carnegie Symposium on Cognition ed. W. G. Chase. MA: Academic Press.
- Newell, A. 1990. Unified Theories of Cognition. Cambridge, MA: Harvard University Press.
- Newell, A.; and Rosenbloom, P. S. 1981. Mechanisms of Skill Acquisition and the Law of Practice. In Cognitive Skills and their Acquisition ed. J. R. Anderson. Hillsdale, NJ: Erlbaum.
- Newell, A.; Shaw, J.C.; and Simon, H.A. 1959. Report on a General Problem-Solving Program. In Proceedings of the International Conference on Information Processing, 256-264.
- Newell, A.; and Simon, H. A. 1956. The Logic Theory Machine: A Complex Information Processing System. IRE Transactions on Information Theory. 2: 61-79.
- Newell, A.; and Simon, H. A. 1972. Human Problem Solving. Englewood Cliffs, NJ: Prentice-Hall.
- Nyhan, J.; Terras, M. M.; and Vanhoutte. E. eds. 2013, Defining Digital Humanities: A Reader. Farnham, UK: Ashgate.
- Oishi, S.; and Westgate, E. C. 2022. A Psychologically Rich Life: Beyond Happiness and Meaning. Psychological Review. 129: 790–811.
- Park, J. S.; O’Brien, J. C.; Cai, C. J.; Morris, M. R.; Liang, P; and Bernstein, M. S. (2023). Generative Agents: Interactive Simulacra of Human Behavior. arXiv:2304.03442.
- Pausch, R. 2008. The Last Lecture. New York, NY: Hachette USA.
- Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Francisco, CA: Morgan Kaufman.
- Plato ~375 BC. Republic.
- Pólya 1945. How to Solve It. Garden City, NY: Doubleday.
- Post, E. 1943. Formal Reductions of the General Combinatorial Decision Problem. American Journal of Mathematics. 65: 197-215.
- Pynadath, D. V.; Rosenbloom, P. S.; and Marsella, S. C. 2014. Reinforcement Learning for Adaptive Theory of Mind in the Sigma Cognitive Architecture. In Proceedings of the Seventh Annual Conference on Artificial General Intelligence, 143-154.
- Pynadath, D. V.; Rosenbloom, P. S.; Marsella, S. C.; and Li, L. 2013. Modeling Two-Player Games in the Sigma Graphical Cognitive Architecture. In Proceedings of the Sixth Conference on Artificial General Intelligence, 98-108.
- Rosenblatt, F. 1958. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review. 65: 386-408.
- Rosenbloom, P. S. 1982. A World-Championship-Level Othello Program. Artificial Intelligence. 19: 279-320.
- Rosenbloom, P. S. 1983. The Chunking of Goal Hierarchies: A Model of Practice and Stimulus-Response Compatibility. Ph.D. Thesis, Carnegie-Mellon University.
- Rosenbloom, P. S. 2004. A New Framework for Computer Science and Engineering. IEEE Computer. 37: 23-28.
- Rosenbloom, P. S. 2006. A Cognitive Odyssey: From the Power Law of Practice to a General Learning Mechanism and Beyond. Tutorials in Quantitative Methods for Psychology. 2: 43-51.
- Rosenbloom, P. S. 2010. Computing and Computation. ACM Ubiquity Symposium: ‘What is Computation?’.
- Rosenbloom, P. S. 2011a. Mental Imagery in a Graphical Cognitive Architecture. In Proceedings of the Second International Conference on Biologically Inspired Cognitive Architectures, 314-323.
- Rosenbloom, P. S. 2011b. Bridging Dichotomies in Cognitive Architectures for Virtual Humans. In Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems.
- Rosenbloom, P. S. 2012a. On Computing: The Fourth Great Scientific Domain. Cambridge, MA: MIT Press.
- Rosenbloom, P. S. 2012b. Deconstructing Reinforcement Learning in Sigma. In Proceedings of the Fifth Conference on Artificial General Intelligence, 62-271.
- Rosenbloom, P. S. 2012c. Extending Mental Imagery in Sigma. In Proceedings of the Fifth Conference on Artificial General Intelligence, 272-281.
- Rosenbloom, P. S. 2012d. Towards a Conceptual Framework for the Digital Humanities. Digital Humanities Quarterly. 6.
- Rosenbloom, P. S. 2014. Deconstructing Episodic Learning and Memory in Sigma. In Proceedings of the Thirty-Sixth Annual Conference of the Cognitive Science Society, 1317-1322.
- Rosenbloom, P. S. 2019. (A)Symmetry × (Non)Monotonicity: Towards a Deeper Understanding of Key Cognitive Di/Trichotomies and the Common Model of Cognition. In Proceedings of the Seventeenth Annual Meeting of the International Conference on Cognitive Modeling.
- Rosenbloom, P. S. 2022. Thoughts on Architecture. In Proceedings of the Fifteenth Conference on Artificial General Intelligence, 364-373.
- Rosenbloom, P. S. 2023. Rethinking the Physical Symbol Systems Hypothesis. In Proceedings of the Sixteenth International Conference on Artificial General Intelligence, 207-216.
- Rosenbloom, P. S. 2025. On Minds: Reflections of a Cognitive Architect. Cambridge, MA: MIT Press. In Preparation.
- Rosenbloom, P. S.; Demski, A.; Han, T.; and Ustun, V. 2013. Learning via Gradient Descent in Sigma. In Proceedings of the Twelfth International Conference on Cognitive Modeling, 35-40.
- Rosenbloom, P. S.; Demski, A.; and Ustun, V. 2016a. The Sigma Cognitive Architecture and System: Towards Functionally Elegant Grand Unification. Journal of Artificial General Intelligence. 7: 1-103.
- Rosenbloom, P. S.; Demski, A.; and Ustun, V. 2016b. Rethinking Sigma’s Graphical Architecture: An Extension to Neural Networks. In Proceedings of the Ninth Conference on Artificial General Intelligence, 84-94.
- Rosenbloom, P. S.; Demski, A.; and Ustun, V. 2017. Toward a Neural-Symbolic Sigma: Introducing Neural Network Learning. In Proceedings of the Fifteenth Annual Meeting of the International Conference on Cognitive Modeling.
- Rosenbloom, P. S.; Gratch, J.; and Ustun, V. 2015. Towards Emotion in Sigma: From Appraisal to Attention. In Proceedings of the Eighth Conference on Artificial General Intelligence, 142-151.
- Rosenbloom, P. S.; Joshi, H.; and Ustun, V. 2019. (Sub)Symbolic × (A)Symmetric × (Non)Combinatory: A Map of AI Approaches Spanning Symbolic/Statistical to Neural/ML. Advances in Cognitive Systems. 8: 113-131.
- Rosenbloom, P. S.; Laird, J. E.; Lebiere, C.; Stocco, A.; Granger, R. H.; and Huyck, C. 2024. A Proposal for Extending the Common Model of Cognition to Emotion. In Proceedings of the Twenty-Second International Conference on Cognitive Modeling.
- Rosenbloom, P. S.; Laird, J. E.; McDermott, J.; Newell; A.; and Orciuch; E. 1985. R1-Soar: An Experiment in Knowledge-Intensive Programming in a Problem-Solving Architecture. IEEE Transactions on Pattern Analysis and Machine Intelligence. 7: 561-569.
- Rosenbloom, P. S.; Laird, J. E.; and Newell, A. 1987. Knowledge Level Learning in Soar, In Proceedings of the Sixth National Conference on Artificial Intelligence, 499-504.
- Rosenbloom, P. S.; Laird, J. E.; and Newell, A. eds. 1993. The Soar Papers: Research on Integrated Intelligence. Cambridge, MA: MIT Press.
- Rosenbloom, P. S.; Lebiere, C.; and Laird, J. E. 2022. Cross-Pollination among Neuroscience, Psychology and AI Research Yields a Foundational Understanding of Thinking. The Conversation.
- Rosenbloom, P. S.; Lee, S.; and Unruh, A. 1990. Responding to Impasses in Memory-Driven Behavior: A Framework for Planning, In Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, 181-191.
- Rosenbloom, P. S.; Lee, S.; and Unruh, A. 1993. Bias in Planning and Explanation-Based Learning. In S. Minton (Ed.), Machine Learning Methods for Planning. San Mateo, CA: Morgan Kaufmann.
- Rosenbloom, P. S.; and Newell, A. 1986. The Chunking of Goal Hierarchies: A Generalized Model of Practice. In Machine Learning: An Artificial Intelligence Approach, Volume II eds. R. S. Michalski; J. G. Carbonell; and T. M. Mitchell. Los Altos, CA: Morgan Kaufmann.
- Rosenbloom, P. S.; and Newell, A. 1988. An Integrated Computational Model of Stimulus-Response Compatibility and Practice. In The Psychology of Learning and Motivation, Volume 21 ed. G. H. Bower. San Diego, CA: Academic Press.
- Rosenbloom, P. S.; and Ustun, V. 2019. An Architectural Integration of Temporal Motivation Theory for Decision Making. In Proceedings of the Seventeenth Annual Meeting of the International Conference on Cognitive Modeling.
- Rumelhart, D. E.; Hinton, G. E.; and Williams, R. J. 1986. Learning Representations by Back-Propagating Errors. Nature. 323: 533-536.
- Russell, B. 1918. The Philosophy of Logical Atomism.
- Russell, S. J.; and Norvig, P. 2010. Artificial Intelligence: A Modern Approach (Third Edition). Upper Saddle River, NJ: Pearson.
- Rychener, M. D. 1983. The Instructable Production System: A Retrospective Analysis. In Machine Learning: An Artificial Intelligence Approach eds. R. S. Michalski; J. G. Carbonell; and T. M. Mitchell. Palo Alto, CA: Morgan Kaufmann.
- Rychener, M. D.; and Newell, A. 1978. An Instructable Production System: Basic Design Issues. In Pattern-Directed Inference Systems eds. D. A. Waterman; and F. Hayes-Roth. Orlando, FL: Academic Press.
- Scerri, P.; Pynadath, D. V.; Johnson, L.; Rosenbloom, P.; Schurr, N.; and Tambe, M. 2003. A Prototype Infrastructure for Distributed Robot-Agent-Person Teams. In Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 433-440.
- Silver, D.; Hubert, J.; Anonoglou, I.; Lai, M.; Guez, A.; Lanctot, M.; Sifre, L.; Kumaran, D.; Graepel, T.; Lillicrap, T.; Simonyan, K.; and Hassabis, D. 2018. A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self-Play. Science. 363: 1140-1144.
- Simon, H. A. 1969. The Sciences of the Artificial. Cambridge, MA: MIT Press.
- Simon, H. A. 1974. How Big Is a Chunk? Science. 183: 482-488.
- Steier, D. M.; Laird, J. E.; Newell, A.; Rosenbloom, P. S.; Flynn, R.; Golding, A.; Polk, T. A.; Shivers, O. G.; Unruh, A.; and Yost, G. R. 1987. Varieties of Learning in Soar: 1987. In Proceedings of the Fourth International Workshop on Machine Learning, 300-311.
- Stocco, A.; Steine-Hanson, Z.; Koh, N.; Laird, J. E.; Lebiere, C.; and Rosenbloom, P. S. 2021. Analysis of the Human Connectome Data Supports the Notion of a “Common Model of Cognition” for Human and Humanlike Intelligence. Neuroimage. 235: 118035.
- Sun, R. 2016. Anatomy of the Mind: Exploring Psychological Mechanisms and Processes with the Clarion Cognitive Architecture. New York, NY: Oxford University Press.
- Swartout, W. R., Gratch, J., Hill, R. W., Hovy, E. H., Marsella, S., Rickel, J.; and Traum, D. R. 2006. Toward Virtual Humans. AI Magazine. 27: 96-108.
- Tallant, J.; and Andow, J. 2020. English Language and Philosophy. In The Routledge Handbook of English Language and Digital Humanities eds. S. Adolphs; and D. Knight. London, UK: Routledge.
- Tambe, M.; Johnson, W. L.; Jones, R. M.; Koss, F.; Laird, J. E.; Rosenbloom, P. S.; and Schwamb, K. B. 1995. Intelligent Agents for Interactive Simulation Environments. AI Magazine. 16: 15-39.
- Tambe, M.; Schwamb, K. B.; and Rosenbloom, P. S. 1995. Building Intelligent Pilots for Simulated Rotary Wing Aircraft. In Proceedings of the Fifth Conference on Computer Generated Forces and Behavioral Representation, 39-44.
- Tedre, M. 2015. The Science of Computing: Shaping a Discipline. Boca Raton, FL: CRC Press.
- The Committee on European Computing Education 2017. Informatics Education in Europe: Are We All In The Same Boat? New York, NY: Association for Computing Machinery.
- Turing, A. M. 1937. On Computable Numbers, with an Application to the Entscheidungsproblem. Proceedings of the London Mathematical Society. 42: 230-65.
- Ustun, V.; Kumar, R.; Reilly, A.; Sajjadi, S.; and Miller, A. 2021. Adaptive Synthetic Characters for Military Training. In Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2021.
- Ustun, V.; and Rosenbloom, P. S. 2015. Towards Adaptive, Interactive Virtual Humans in Sigma. Proceedings of the Fifteenth International Conference on Intelligent Virtual Agents, 98-108.
- Ustun, V.; Rosenbloom, P. S.; Kim, J.; and Li, L. 2015. Building High Fidelity Human Behavior Models in the Sigma Cognitive Architecture. In Proceedings of the 2015 Winter Simulation Conference, 3124-3125.
- Ustun, V.; Rosenbloom, P. S.; Sagae, K.; and Demski, A. 2014. Distributed Vector Representations of Words in the Sigma Cognitive Architecture. In Proceedings of the Seventh Annual Conference on Artificial General Intelligence, 196-207.
- Ustun, V.; Rosenbloom, P. S.; Sajjadi, S.; and Nuttall, J. 2018. Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma. In Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2018.
- Waldrop, M. M. 1988a. Toward a Unified Theory of Cognition. Science. 241: 27-29.
- Waldrop, M. M. 1988b. Soar: A Unified Theory of Cognition? Science. 241: 296-298.
- Wilczek, F. 2015. Why is Physics Beautiful? World Economic Forum.
- Zhou, J.; Cui, G.; Zhang, Z.; Yang, C.; Liu, Z.; and Sun, M. 2019. Graph Neural Networks: A Review of Methods and Applications. arXiv:1812.08434.
- Zhou, J.; and Ustun, V. 2021. PySigma: Towards Enhanced Grand Unification for the Sigma Cognitive Architecture. In Proceedings of the Fourteenth Conference on Artificial General Intelligence, 355–366.