A Cognitive decision making model and its evaluation on the radar task problem

Ali Orhan Aydin*, Mehmet Ali Orgun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The Reactive-Causal Architecture (ReCau) is a cognitive agent architecture proposed to simulate human-like intelligence. ReCau combines the intentional notion and motivation theories. ReCau agents are entities driven by unsatisfied needs, to satisfy these motives they act intentionally while satisfaction or dissatisfaction of needs results in affect display. In this paper, we discuss the results of a multi agent based simulation called radar task By the help of this simulation, the performance of the decision-making mechanism of ReCau is compared with those of humans and some existing architectures. The results indicate that ReCau provides a highly realistic decision-making mechanism.

Original languageEnglish
Title of host publication20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
Place of PublicationRed Hook, NY
PublisherCurran Associates
Pages74-81
Number of pages8
ISBN (Print)9781618390745
Publication statusPublished - 2011
Event20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 - Sundance, UT, United States
Duration: 21 Mar 201124 Mar 2011

Other

Other20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
CountryUnited States
CitySundance, UT
Period21/03/1124/03/11

Keywords

  • models of decision making
  • reactive-causal architecture

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  • Cite this

    Aydin, A. O., & Orgun, M. A. (2011). A Cognitive decision making model and its evaluation on the radar task problem. In 20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 (pp. 74-81). Red Hook, NY: Curran Associates.