Cognitive architectures, rationality, and next-generation AI: a prolegomenon

Paul Bello; Selmer Bringsjord; Yingrui Yang

doi:10.1117/12.542775

13 August 2004 Cognitive architectures, rationality, and next-generation AI: a prolegomenon

Paul Bello, Selmer Bringsjord, Yingrui Yang

Proceedings Volume 5423, Enabling Technologies for Simulation Science VIII; (2004) https://doi.org/10.1117/12.542775
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Computational models that give us insight into the behavior of individuals and the organizations to which they belong will be invaluable assets in our nation's war against terrorists, and state sponsorship of terror organizations. Reasoning and decision-making are essential ingredients in the formula for human cognition, yet the two have almost exclusively been studied in isolation from one another. While we have witnessed the emergence of strong traditions in both symbolic logic, and decision theory, we have yet to describe an acceptable interface between the two. Mathematical formulations of decision-making and reasoning have been developed extensively, but both fields make assumptions concerning human rationality that are untenable at best. True to this tradition, artificial intelligence has developed architectures for intelligent agents under these same assumptions. While these digital models of "cognition" tend to perform superbly, given their tremendous capacity for calculation, it is hardly reasonable to develop simulacra of human performance using these techniques. We will discuss some the challenges associated with the problem of developing integrated cognitive systems for use in modelling, simulation, and analysis, along with some ideas for the future.

Citation Download Citation

Paul Bello, Selmer Bringsjord, and Yingrui Yang "Cognitive architectures, rationality, and next-generation AI: a prolegomenon", Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); https://doi.org/10.1117/12.542775

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