The GLAIR cognitive architecture

AAAI Fall Symposium - Technical Report

Volumn FS-09-01, Issue , 2009, Pages 141-152

  Shapiro, Stuart C ^a   Bona, Jonathan P ^a  

^a State University of New York ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE ARCHITECTURES; COMPUTATIONAL PHILOSOPHY; EMBODIED AGENT; HUMAN MIND; HUMAN PSYCHOLOGY; INTELLIGENT BEHAVIOR; KNOWLEDGE LAYERS; LAYERED ARCHITECTURE; MULTI-LAYERED; SIMULATED ENVIRONMENT; SOFTWARE ROBOT;

PHILOSOPHICAL ASPECTS;

EID: 77954226639     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (64)

1. Alchourrón, C. E.; Gärdenfors, P.; and Makinson, D. 1985. On the logic of theory change: Partial meet contraction and revision functions. The Journal of Symbolic Logic 50(2):510-530.
2. Anderson, J. R., and Lebiere, C. 1998. The Atomic Components of Thought. Mahwah, NJ: Lawrence Erlbaum.
3. Anstey, J.; Seyed, A. P.; Bay-Cheng, S.; Bona, J.; Hibit, S.; Pape, D.; Shapiro, S. C.; and Sena, V. in press. The agent takes the stage. International Journal of Arts and Technology,.
4. Böhm, C., and Jacopini, G. 1966. Flow diagrams, turing machines, and languages with only two formation rules. Communications of the ACM 9(5):366-371.
5. Carbonell, J. G.; Knoblock, C. A.; and Minton, S. 1990. PRODIGY: An integrated architecture for planning and learning. In VanLehn, K., ed., Architectures for Intelligence. Hillsdale, NJ: Lawrence Erlbaum. 241-278.
6. Choi, J., and Shapiro, S. C. 1991. Experience-based deductive learning. In Third International Conference on Tools for Artificial Intelligence TAI '91. Los Alamitos, CA: IEEE Computer Society Press. 502-503.
7. Choi, J. 1993. Experience-Based Learning in Deductive Reasoning Systems. PhD dissertation, Technical Report 93-20, Department of Computer Science, State University of New York at Buffalo, Buffalo, NY.
8. de Kleer, J. 1986. An assumption-based truth maintenance system. Artificial Intelligence 28(2):127-162.
9. Duchan, J. F.; Bruder, G. A.; and Hewitt, L. E., eds. 1995. Deixis in Narrative: A Cognitive Science Perspective. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
10. Goldfain, A. 2008. A Computational Theory of Early Mathematical Cognition. Ph.D. Dissertation, State University of New York at Buffalo, Buffalo, NY.
11. Haller, S. 1996. Planning text about plans interactively. International Journal of Expert Systems 9(1):85-112.
12. Haller, S. 1999. An introduction to interactive discourse processing from the perspective of plan recognition and text planning. Artificial Intelligence Review 13(4):259-333.
13. Hexmoor, H.; Lammens, J.; and Shapiro, S. C. 1993. Embodiment in GLAIR: a grounded layered architecture with integrated reasoning for autonomous agents. In Dankel II, D. D., and Stewman, J., eds., Proceedings of The Sixth Florida AI Research Symposium (FLAIRS 93). The Florida AI Research Society. 325-329.
14. Hobbs, J. R. 2000. Half orders of magnitude. In Obrst, L., and Mani, I., eds., Papers from the Workshop on Semantic Approximation, Granularity, and Vagueness, 28-38. A Workshop of the Seventh International Conference on Principles of Knowldege Representation and Reasoning, Breckenridge, CO.
15. Ismail, H. O., and Shapiro, S. C. 2000. Two problems with reasoning and acting in time. In Cohn, A. G.; Giunchiglia, F.; and Selman, B., eds., Principles of Knowledge Representation and Reasoning: Proceedings of the Seventh International Conference (KR 2000), 355-365. San Francisco: Morgan Kaufmann.
16. Ismail, H. O., and Shapiro, S. C. 2001. The cognitive clock: A formal investigation of the epistemology of time. Technical Report 2001-08, Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY.
17. Ismail, H. O. 2001. Reasoning and Acting in Time. PhD dissertation, Technical Report 2001-11, University at Buffalo, The State University of New York, Buffalo, NY.
18. Kandefer, M., and Shapiro, S. C. 2007. Knowledge acquisition by an intelligent acting agent. In Amir, E.; Lifschitz, V.; and Miller, R., eds., Logical Formalizations of Commonsense Reasoning, Papers from the AAAI Spring Symposium, Technical Report SS-07-05, 77-82. Menlo Park, CA: AAAI Press.
19. Kumar, D., and Shapiro, S. C. 1991. Architecture of an intelligent agent in SNePS. SIGART Bulletin 2(4):89-92.
20. Kumar, D., and Shapiro, S. C. 1994. Acting in service of inference (and vice versa). In Dankel II, D. D., ed., Proceedings of The Seventh Florida AI Research Symposium (FLAIRS 94). The Florida AI Research Society. 207-211.
21. Kumar, D. 1993. A unified model of acting and inference. In Proceedings of the Twenty-Sixth Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Computer Society Press.
22. Laird, J. E.; Newell, A.; and Rosenbloom, P. S. 1987. SOAR: an architecture for general intelligence. Artificial Intelligence 33(1):1-64.
23. Lammens, J. M.; Hexmoor, H. H.; and Shapiro, S. C. 1995. Of elephants and men. In Steels, L., ed., The Biology and Technology of Intelligent Autonomous Agents. Berlin: Springer-Verlag, Berlin. 312-344.
24. Langley, P.; Cummings, K.; and Shapiro, D. 2004. Hierarchical skills and cognitive architectures. In Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society, 779-784.
25. Langley, P.; Laird, J. E.; and Rogers, S. 2009. Cognitive architectures: Research issues and challenges. Cognitive Systems Research 10(2):141-160.
26. Lehmann, F., ed. 1992. Semantic Networks in Artificial Intelligence. Oxford: Pergamon Press.
27. Martins, J. P., and Shapiro, S. C. 1983. Reasoning in multiple belief spaces. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence. San Mateo, CA: Morgan Kaufmann. 370-373.
28. Martins, J. P., and Shapiro, S. C. 1988. A model for belief revision. Artificial Intelligence 35:25-79.
29. McKay, D. P., and Shapiro, S. C. 1980. MULTI - a LISP based multiprocessing system. In Proceedings of the 1980 LISP Conference, 29-37.
30. McKay, D. P., and Shapiro, S. C. 1981. Using active connection graphs for reasoning with recursive rules. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence. San Mateo, CA: Morgan Kaufmann. 368-374.
31. Morgado, E. J. M., and Shapiro, S. C. 1985. Believing and acting: A study of meta-knowledge and meta-reasoning. In Proceedings of EPIA-85 "Encontro Portugues de Inteligencia Artificial", 138-154.
32. Neal, J. G., and Shapiro, S. C. 1985. Parsing as a form of inference in a multiprocessing environment. In Proceedings of the Conference on Intelligent Systems and Machines, 19-24. Rochester, Michigan: Oakland University.
33. Neal, J. G., and Shapiro, S. C. 1987a. Knowledge-based parsing. In Bolc, L., ed., Natural Language Parsing Systems. Berlin: Springer-Verlag. 49-92.
34. Neal, J. G., and Shapiro, S. C. 1987b. Knowledge representation for reasoning about language. In Boudreaux, J. C.; Hamill, B. W.; and Jernigan, R., eds., The Role of Language in Problem Solving 2. Elsevier Science Publishers. 27-46.
35. Orilia, F., and Rapaport, W. J., eds. 1998. Thought, Language, and Ontology: Essays in Memory of Hector-Neri Castañeda. Dordrecht: Kluwer Academic Publishers.
36. Rapaport, W. J.; Shapiro, S. C.; and Wiebe, J. M. 1997. Quasi-indexicals and knowledge reports. Cognitive Science 21(1):63-107. Reprinted in (Orilia and Rapaport 1998, pp. 235-294).
37. Searle, J. R. 1975. Indirect speech acts. In Cole, P., and Morgan, J. L., eds., Speech Acts: Syntax and Semantics, volume 3. Academic Press. 59-82.
38. Seyed, A. P.; Kandefer, M.; and Shapiro, S. C. 2008. Sneps efficiency report. SNeRG Technical Note 43, Department of Computer Science, State University of New York at Buffalo, Buffalo, NY.
39. Shapiro, S. C., and Ismail, H. O. 2003. Anchoring in a grounded layered architecture with integrated reasoning. Robotics and Autonomous Systems 43(2-3):97-108.
40. Shapiro, S. C., and Kandefer, M. 2005. A SNePS approach to the wumpus world agent or Cassie meets the wumpus. In Morgenstern, L., and Pagnucco, M., eds., IJCAI-05 Workshop on Nonmonotonic Reasoning, Action, and Change (NRAC'05): Working Notes. Edinburgh, Scotland: IJCAII. 96-103.
41. Shapiro, S. C., and Neal, J. G. 1982. A knowledge engineering approach to natural language understanding. In Proceedings of the 20th Annual Meeting of the Association for Computational Linguistics. Menlo Park, CA: ACL. 136-144.
42. Shapiro, S. C., and Rapaport, W. J. 1987. SNePS considered as a fully intensional propositional semantic network. In Cercone, N., and McCalla, G., eds., The Knowledge Frontier. New York: Springer-Verlag. 263-315.
43. Shapiro, S. C., and Rapaport, W. J. 1992. The SNePS family. Computers & Mathematics with Applications 23(2-5):243-275. Reprinted in (Lehmann 1992, pp. 243-275).
44. Shapiro, S. C., and Rapaport, W. J. 1995. An introduction to a computational reader of narratives. In Duchan, J. F.; Bruder, G. A.; and Hewitt, L. E., eds., Deixis in Narrative: A Cognitive Science Perspective. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. 79-105.
45. Shapiro, S. C., and The SNePS Implementation Group. 2008. SNePS 2.7 User's Manual. Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY.
46. Shapiro, S. C.; Anstey, J.; Pape, D. E.; Nayak, T. D.; Kandefer, M.; and Telhan, O. 2005a. MGLAIR agents in a virtual reality drama. Technical Report 2005-08, Department of Computer Science & Engineering, University at Buffalo, Buffalo, NY.
47. Shapiro, S. C.; Anstey, J.; Pape, D. E.; Nayak, T. D.; Kandefer, M.; and Telhan, O. 2005b. MGLAIR agents in virtual and other graphical environments. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05). Menlo Park, CA: AAAI Press. 1704-1705.
48. Shapiro, S. C.; Anstey, J.; Pape, D. E.; Nayak, T. D.; Kandefer, M.; and Telhan, O. 2005c. The Trial The Trail, Act 3: a virtual reality drama using intelligent agents. In Young, R. M., and Laird, J., eds., Proceedings of the First Annual Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-05), 157-158. Menlo Park, CA: AAAI Press.
49. Shapiro, S. C.; Rapaport, W. J.; Kandefer, M.; Johnson, F. L.; and Goldfain, A. 2007. Metacognition in SNePS. AI Magazine 28:17-31.
50. Shapiro, S. C.; Ismail, H. O.; and Santore, J. F. 2000. Our dinner with Cassie. In Working Notes for the AAAI 2000 Spring Symposium on Natural Dialogues with Practical Robotic Devices, 57-61. Menlo Park, CA: AAAI.
51. Shapiro, S. C.; Martins, J. P.; and McKay, D. P. 1982. Bidirectional inference. In Proceedings of the Fourth Annual Meeting of the Cognitive Science Society, 90-93.
52. Shapiro, S. C. 1978. Path-based and node-based inference in semantic networks. In Waltz, D. L., ed., Tinlap-2: Theoretical Issues in Natural Languages Processing. New York: ACM. 219-225.
53. Shapiro, S. C. 1979. The SNePS semantic network processing system. In Findler, N. V., ed., Associative Networks: The Representation and Use of Knowledge by Computers. New York: Academic Press. 179-203.
54. Shapiro, S. C. 1982. Generalized augmented transition network grammars for generation from semantic networks. The American Journal of Computational Linguistics 8(1):12-25.
55. Shapiro, S. C. 1986. Symmetric relations, intensional individuals, and variable binding. Proceedings of the IEEE 74(10):1354-1363.
56. Shapiro, S. C. 1987. Processing, bottom-up and top-down. In Shapiro, S. C., ed., Encyclopedia of Artificial Intelligence. New York: John Wiley & Sons. 779-785. Reprinted in Second Edition, 1992, pages 1229-1234.
57. Shapiro, S. C. 1989. The CASSIE projects: An approach to natural language competence. In Martins, J. P., and Morgado, E. M., eds., EPIA 89: 4th Portugese Conference on Artificial Intelligence Proceedings, Lecture Notes in Artificial Intelligence 590. Berlin: Springer-Verlag. 362-380.
58. Shapiro, S. C. 1991. Cables, paths and "subconscious" reasoning in propositional semantic networks. In Sowa, J., ed., Principles of Semantic Networks: Explorations in the Representation of Knowledge. Los Altos, CA: Morgan Kaufmann. 137-156.
59. Shapiro, S. C. 1992. Artificial intelligence. In Shapiro, S. C., ed., Encyclopedia of Artificial Intelligence. New York: John Wiley & Sons, second edition. 54-57.
60. Shapiro, S. C. 1993. Belief spaces as sets of propositions. Journal of Experimental and Theoretical Artificial Intelligence (JETAI) 5(2&3):225-235.
61. Shapiro, S. C. 1998. Embodied Cassie. In Cognitive Robotics: Papers from the 1998 AAAI Fall Symposium, Technical Report FS-98-02. Menlo Park, California: AAAI Press. 136-143.
62. Shapiro, S. C. 2000a. An introduction to SNePS 3. In Ganter, B., and Mineau, G. W., eds., Conceptual Structures: Logical, Linguistic, and Computational Issues, volume 1867 of Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. 510-524.
63. Shapiro, S. C. 2000b. SNePS: A logic for natural language understanding and commonsense reasoning. In Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language. Menlo Park, CA: AAAI Press/The MIT Press. 175-195.
64. Shubin, H. 1981. Inference and control in multiprocessing environments. Technical Report 186, Department of Computer Science, SUNY at Buffalo.