Learning to use episodic memory

Cognitive Systems Research

Volumn 12, Issue 2, 2011, Pages 144-153

  Gorski, Nicholas A ^a   Laird, John E ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Artificial intelligence; Cognitive architecture; Episodic memory; Intelligent agents; Reinforcement learning

Indexed keywords

COGNITIVE ARCHITECTURE; EMPIRICAL RESULTS; EPISODIC MEMORIES; EPISODIC MEMORY; EXTERNAL ENVIRONMENTS; MEMORY MECHANISM; MULTIPLE FEATURES;

ARTIFICIAL INTELLIGENCE; EXPERIMENTS; INTELLIGENT AGENTS; REINFORCEMENT LEARNING;

MEMORY ARCHITECTURE;

ARTICLE; ASSOCIATION; EPISODIC MEMORY; LEARNING; MEMORY CONSOLIDATION; PRIORITY JOURNAL; REINFORCEMENT;

EID: 79952195370     PISSN: 13890417     EISSN: 13890417     Source Type: Journal    
DOI: 10.1016/j.cogsys.2010.08.001     Document Type: Article

References (16)

1. Anderson J.R. How can the human mind occur in the physical universe? 2007, Oxford U. Press, New York, NY.
2. Cohen P.R. Empirical methods for artificial intelligence 1995, MIT Press, Cambridge, MA.
3. Derbinsky, N. & Laird, J. E. (2009). Efficiently implementing episodic memory. In Proceedings of the 8th international conference on case-based reasoning. Seattle, WA.
4. Laird, J. E. (2008). Extending the soar cognitive architecture. In Proceedings of the first artificial general intelligence conference (pp. 224-235). Memphis, TN.
5. Littman, M. L. (1994). Memoryless policies: Theoretical limitations and practical results. In Proceedings of the 3rd international conference on simulation of adaptive behavior. (pp. 238-245).
6. Nason S., Laird J.E. Soar-RL, integrating reinforcement learning with soar. Cognitive Systems Research 2005, 6:51-59.
7. Nuxoll, A. (2007). Enhancing intelligent agents with episodic memory. Doctoral dissertation, Computer Science & Engineering, U. of Michigan, Ann Arbor.
8. Nuxoll, A. & Laird, J. E. (2007). Extending cognitive architecture with episodic memory. In Proceedings of the 21st national conference on artificial intelligence. Vancouver, BC.
9. Pearson, D., Gorski, N. A., Lewis, R. L. & Laird, J. E. (2007). Storm: A framework for biologically-inspired cognitive architecture research. ICCM-07. Ann Arbor, MI.
10. Peshkin, L., Meuleau, N., & Kaelbling, L. P. (1999). Learning policies with external memory. In Proceedings of the 16th international conference on machine learning. Bled, Slovenia.
11. Singh, S., Lewis, R. L., & Barto, A. G. (2009). Where do rewards come from? In Proceedings of the annual conference of the cognitive science society. Amsterdam.
12. Sutton R.S., Barto A.G. Reinforcement learning 1998, MIT Press, Cambridge, MA.
13. Tulving E. Elements of episodic memory 1983, Clarendon Press, Oxford.
14. Wang, Y. & Laird, J. E. (2006). Integrating semantic memory into a cognitive architecture. (Tech. Rep. CCA-TR-2006-02). Ann Arbor, MI: Center for Cognitive Architectures, University of Michigan.
15. Watkins, C. J. C. H. (1989). Learning from delayed rewards. Doctoral dissertation, Cambridge University, Cambridge, England.
16. Zilli E.A., Hasselmo M.E. Modeling the role of working memory and episodic memory in behavioral tasks. Hippocampus 2008, 18:193-209.