Overview of CGF-oriented Cognitive Architecture

doi:10.16182/j.issn1004731x.joss.20-0937

Abstract

Abstract: In order to further formalize and boost standardized behavioral model development of Computer Generated Forces (CGF), the CGF-oriented cognitive architecture is reviewed and the implementation details of one of the CGF cognitive behaviors, i.e. plan recognition, upon standard cognitive architecture are designed. The results show that the well-designed architecture has a strong support for complex behavior modeling. Four specific suggestions, including requirement analysis, design implementation, theoretical principle and cooperation mechanism, for architecture design and complex behavior modeling are provided.

Key words: computer generated forces, cognitive behavioral modeling, cognitive architecture, plan recognition behavior modeling

CLC Number:

TP391.9

Xu Kai, Zeng Junjie, Yang Weilong, Qin Long, Yin Quanjun. Overview of CGF-oriented Cognitive Architecture[J]. Journal of System Simulation, 2021, 33(2): 239-248.

References

[1] Council N R.Behavioral Modeling and Simulation: From Individuals to Societies[M]. USA: National Academies Press, 2008.
[2] Ernst G W, Newell A.GPS: A Case Study in Generality and Problem Solving[M]. USA: Academic Pr, 1969.
[3] Kotseruba I, Tsotsos J K.40 Years of Cognitive Architectures: Core Cognitive Abilities and Practical Applications[J]. Artificial Intelligence Review (S0269-2821), 2018, 53: 17-94.
[4] Ferrucci D, Brown E, Chu-Carroll J, et al.Building Watson: An Overview of the DeepQA project[J]. AI Magazine (S0738-4602), 2010, 31(3): 59-79.
[5] Lenat D B.CYC: A Large-scale Investment in Knowledge Infrastructure[J]. Communications of the ACM (S0001-0782), 1995, 38(11): 33-38.
[6] Brownston L, Farrell R, Kant E, et al.Programming Expert Systems in OPS5[M]. USA: Addison-Wesley, 1985.
[7] Hill E F.Jess in Action: Java Rule-based Systems[M]. USA: Manning Publications, 2003.
[8] Corkill D D.GBB: A generic blackboard development system[C]. AAAI. Vancouver, CAN: AAAI Press, 1986: 1008-1014.
[9] Pollock J L.Rational Cognition in OSCAR[C]. International Workshop on Agent Theories, Architectures, and Languages. Orlando, Florida, USA: Springer, 1999: 71-90.
[10] Brooks R A.Cambrian intelligence: The Early History of the New AI[M]. Cambridge, MA, USA: MIT press, 1999.
[11] Bratman M. Intention, Plans,Practical Reason[M]. Cambridge, MA, USA: Harvard University Press Cambridge, MA, 1987.
[12] Card S K, Moran T P, Newell A.The Psychology of Human-computer Interaction[J]. American Journal of Psychology (S0002-9556), 1983, 25(4).
[13] Newell A.Unified Theories of Cognition[M]. Cambridge, MA, USA: Harvard University Press, 1994.
[14] Laird J E.The Soar Cognitive Architecture[M]. Cambridge, MA, USA: MIT Press, 2012.
[15] Kelley T D.Symbolic and Sub-symbolic Representations in Computational Models of Human Cognition: What Can Be Learned from Biology[J]. Theory & Psychology (S0959-3543), 2003, 13(6): 847-860.
[16] Sun R, Bookman L A.Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art[M]. Berlin, Germany: Springer Science & Business Media, 1994.
[17] Anderson J R.How Can the Human Mind Occur in the Physical Universe[M]. Oxford, UK: Oxford University Press, 2009.
[18] Fikes R E, Nilsson N J.STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving[J]. Artificial Intelligence (S0004-3702), 1971, 2(3/4): 189-208.
[19] Marsella S, Adibi J, Al-Onaizan Y, et al.On Being a Teammate: Experiences Acquired in the Design of RoboCup Teams[C]. Third Annual Conference on Autonomous Agents. USA: ACM Press, 1999: 221-227.
[20] Tanner B, White A.RL-Glue: Language-independent software for reinforcement-learning experiments[J]. Journal of Machine Learning Research (S1532-4435), 2009, 10(9): 2133-2136.
[21] Genesereth M, Love N, Pell B.General Game Playing: Overview of the AAAI Competition[J]. AI Magazine (S0738-4602), 2005, 26(2): 62.
[22] Laird J E, Lebiere C, Rosenbloom P S.A Standard Model of The Mind: Toward a Common Computational Framework Across Artificial Intelligence, cognitive Science, Neuroscience, and Robotics[J]. AI Magazine (S0738-4602), 2017, 38(4): 13-26.
[23] Laird J E.The Soar Cognitive Architecture[M]. Cambridge, MA, USA: MIT Press, 2012.