Comparative analysis of frameworks for knowledge-intensive intelligent agents

AI Magazine

Volumn 27, Issue 2, 2006, Pages 57-70

  Jones, Randolph M ^a,b   Wray, Robert E ^a  

^a SOAR TECHNOLOGY INC   (United States)

^b Health Services and Department of Biology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INTELLIGENT AGENTS; KNOWLEDGE REPRESENTATION; MATHEMATICAL MODELS; SOFTWARE AGENTS;

BELIEFS, DESIRES, INTENTIONS FRAMEWORK; FINITE STATE MACHINE; GOALS, OPERATORS, METHODS, AND SELECTIONS;

KNOWLEDGE BASED SYSTEMS;

EID: 33745874657     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (44)

1. Albus, J. 2001. Engineering of Mind: An Introduction to the Science of Intelligent Systems. New York: John Wiley and Sons.
2. Anderson, J. R.; and Lebiere, C. 1998. Atomic Components of Thought. Hillsdale, NJ: Lawrence Erlbaum.
3. Bratman, M. E. 1987. Intentions, Plans, and Practical Reason. Cambridge, MA: Harvard University Press
4. Bratman, M. E.; Israel, D. J.; and Pollack, M. E. 1988. Plans and Resource-Bounded Practical Reasoning. Computational Intelligence 4: 349-355.
5. Card, S.; Moran, T.; and Newell, A. 1983. The Psychology of Human-Computer Interaction. Hillsdale, NJ: Lawrence Erlbaum.
6. Carmel, D.; and Markovitch, S. 1996. Learning Models of Intelligent Agents. In Proceedings of the Thirteenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press.
7. Ceranowicz, A., Nielsen, P.; and Koss, F. V. 2000. Behavioral Representation In JSAF. In Proceedings of the Ninth Computer Generated Forces and Behavioral Representation Conference. Orlando, FI: Institute for Simulation and Training, University of Central Florida.
8. Chong, R. S.; and Wray, R. E. 2005. Constraints on Architectural Models: Elements of Act-R, Soar and Epic In Human Learning and Performance. In Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation, ed. K. Gluck and R. Pew, 237-304. Mahweh, NJ: Lawrence Erlbaum Associates.
9. d'Inverno, M.; Kinny, D.; Luck, M.; and Wooldridge, M. 1997. A Formal Specification of dMARS. In Intelligent Agents IV Lecture Notes on Artificial Intelligence, Volume 1365, ed. M. P. Singh, A. Rao, and M. J. Wooldridge, 155-176. Berlin: Springer Verlag.
10. Forbus, K. D.; and deKleer, J. 1993. Building Problem Solvers. Cambridge, MA: The MIT Press.
11. Freed, M. A.; and Remington, R. W. 2000. Making Human-Machine System Simulation a Practical Engineering Tool: An Apex Overview. Paper presented at the 2000 International Conference on Cognitive Modeling, Groningen, the Netherlands, 23-25 March.
12. Gardenfors, P. 1988. Knowledge In Flux. Cambridge, MA: The MIT Press.
13. Georgeff, M. P.; and Ingrand, F. E. 1990. Real-Time Reasoning: The Monitoring and Control of Spacecraft Systems. In Proceedings of the Sixth IEEE Conference on Artificial Intelligence Applications. Piscataway, NJ: Institute of Electrical and Electronics Engineers.
14. Georgeff, M. P.; and Lansky, A. L. 1987. Reactive Reasoning and Planning. In Proceedings of the Sixth National Conference on Artiricial Intelligence, 677-682. Menlo Park, CA: AAAI Press.
15. Gervasio, M. T.; and Dejong, G. F. 1994. An Incremental Approach for Completable Planning. In Proceedings of the Eleventh National Conference on Artificial Intelligence, 78-86. Menlo Park, CA: AAAI Press.
16. Gray, W. D.; John, B. E.; and Atwood, M. E. 1993. Project Ernestine: Validating a GOMS Analysis for Predicting and Explaining Real-World Performance. Human-Computer Interaction 8(3): 237-309.
17. Harland, J.; and Winikoff, M. 2001. Agents Via Mixed-Mode Computation In Linear Logic: A Proposal. Paper presented at the ICLP'01 Workshop on Computational Logic in Multi-Agent Systems. Paphos, Cyprus.
18. Hill, R. 1999. Modeling Perceptual Attention In Virtual Humans. Paper presented at the Eighth Conference on Computer Generated Forces and Behavior Representation. Orlando, FL.
19. Hopcroft, J. E.; and Ullman, J. D. 1979. Introduction to Automata Theory, Languages, and Computation. Reading, MA: Addison-Wesley.
20. Howden, N.; Rönnquist, R.; Hodgson, A.; and Lucas, A. 2001. Jack: Summary of an Agent Infrastructure. Paper presented at the Workshop on Infrastructure for Agents, MAS, and Scalable MAS at the Fifth International Conference on Autonomous Agents. Montreal, Canada.
21. Huber, M. J. 1999. Jam: A BDI-Theoretic Mobile Agent Architecture. In Proceedings of the Third International Conference on Autonomous Agents, 236-243. New York: Association for Computing Machinery.
22. John, B. E.; Vera, A. H.; and Newell, A. 1994. Toward Real-Time GOMS: A Model of Expert Behavior in a Highly Interactive Task. Behavior and Information Technology 13(4): 255-267.
23. Jones, R. M.; and Laird, J. E. 1997. Constraints on the Design of a High-Level Model of Cognition. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society. Wheat Ridge, CO: Cognitive Science Society.
24. Jones, R. M.; Laird, J. E.; Nielsen, P. E. 1999. Automated Intelligent Pilots for Combat Flight Simulation. AI Magazine 20(1): 27-42.
25. Jones, R. M.; Laird, J. E.; Tambe, M.; and Rosenbloom, P.S. 1994. Generating Behavior in Response to Interacting Goals. In Proceedings of the Fourth Conference on Computer Generated Forces and Behavior Representation, 325-332. Orlando, Fl: Institute for Simulation and Training, University of Central Florida.
26. Kieras, D. E. 1997. A Guide to GOMS Model Usability Evaluation Using Ngomsl. In Handbook of Human-Computer Interaction, ed. M. Helander, T. Landauer, and P. Prabhu, 733-766. Amsterdam: North-Holland.
27. Kieras, D. E.; Wood, S. D.; Abotel, K.; and Hornof, A. 1995. GLEAN: A Computer-Based Tool for Rapid GOMS Model Usability Evaluation of User Interface Designs. In Proceedings of the ACM Symposium on User Interface Software and Technology. New York: Association for Computing Machinery.
28. Laird, J. E.; Newell, A.; and Rosenbloom, P. S. 1987. Soar: An Architecture for General Intelligence. Artificial Intelligence 33(1): 1-64.
29. Lallement, Y.; and John, B. E. 1998. Cognitive Architecture and Modeling Idiom: A Model of the Wicken's Task. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society. Wheat Ridge, CO: Cognitive Science Society.
30. Langley, P.; Choi, D.; and Shapiro, D. 2004. A Cognitive Architecture for Physical Agents. Technical Report. Institute for the Study of Learning and Expertise, Palo Alto, CA.
31. Meyer, D.; and Kieras, D. 1997. Epic: A Computational Theory of Executive Cognitive Processes and Multiple-Task Performance: Part 1. Psychological Review 104: 3-65,
32. Newell, A. 1980. Physical Symbol Systems. Cognitive Science 4: 135-183.
33. Newell, A. 1982. The Knowledge Level. Artificial Intelligence 18(1): 87-127.
34. Newell, A. 1990. Unified Theories of Cognition. Cambridge, MA: Harvard University Press.
35. Payne, T. R.; Singh, R.; and Sycara, K. 2002. Calendar Agents on the Semantic Web. IEEE Intelligent Systems 17(3): 84-86,
36. Peck, V. A.; and John, B. E. 1992. Browser-Soar: A Computational Model of a Highly Interactive Task. In Proceedings, SIGChi Conference on Human Factors in Computing Systems, ed. P. Bauersfeld, J. Bennett, and G. Lynch, 165-172. New York: ACM Press.
37. Rao, A.; and Georgeff, M. 1995, BDI Agents: From Theory to Practice. In Proceedings of the First International Conference on Multiagent Systems. San Francisco. Menlo Park, CA: AAAI Press.
38. Russell S.; and Norvig, P. 1994. Artificial Intelligence: A Modern Approach. Upper Saddle River, NJ: Prentice Hall. 1995
39. Schutt, M. C.; and Wooldridge, M. 2001. Principles of Intention Reconsideration. Proceedings of the Fifth International Conference on Autonomous Agents, 209-216. New York: ACM Press.
40. Thangarajah, J.; Padgham, L.; and Harland, J. 2002. Representation and Reasoning for Goals in BDI Agents. In Proceedings of the Twenty-Fifth Australasian Conference on Computer Science - Volume 4, Melbourne. Darlinghurst, Australia: Australian Computer Society.
41. Veloso, M. M.; Pollack, M. E.; and Cox, M. T. 1998. Rationale-Based Monitoring for Planning in Dynamic Environments. In Proceedings of the Fourth International Conference on AI Planning Systems. Menlo Park, CA: AAAI Press.
42. Wooldridge, M. 2000. Reasoning about Rational Agents. Cambridge, MA: The MIT Press.
43. Wray, R. E.; and Jones, R. M. 2005. An Introduction to Soar as an Agent Architecture. In Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation, ed. R. Sun. Cambridge, UK: Cambridge University Press.
44. Wray, R. E.; and Laird, J. E. 2003. An Architectural Approach to Consistency In Hierarchical Execution. Journal of Artificial Intelligence Research 19: 355-398.