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

Ali Orhan Aydin; Mehmet Ali Orgun

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

Ali Orhan Aydin^*, Mehmet Ali Orgun

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
Place of Publication	Red Hook, NY
Publisher	Curran Associates
Pages	74-81
Number of pages	8
ISBN (Print)	9781618390745
Publication status	Published - 2011
Event	20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 - Sundance, UT, United States Duration: 21 Mar 2011 → 24 Mar 2011

Other

Other	20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
Country/Territory	United States
City	Sundance, UT
Period	21/03/11 → 24/03/11

Keywords

models of decision making
reactive-causal architecture

Cite this

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title = "A Cognitive decision making model and its evaluation on the radar task problem",

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.",

keywords = "models of decision making, reactive-causal architecture",

author = "Aydin, {Ali Orhan} and Orgun, {Mehmet Ali}",

year = "2011",

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pages = "74--81",

booktitle = "20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011",

publisher = "Curran Associates",

note = "20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 ; Conference date: 21-03-2011 Through 24-03-2011",

}

Aydin, AO & Orgun, MA 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. Curran Associates, Red Hook, NY, pp. 74-81, 20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011, Sundance, UT, United States, 21/03/11.

A Cognitive decision making model and its evaluation on the radar task problem. / Aydin, Ali Orhan; Orgun, Mehmet Ali.
20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011. Red Hook, NY: Curran Associates, 2011. p. 74-81.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - A Cognitive decision making model and its evaluation on the radar task problem

AU - Aydin, Ali Orhan

AU - Orgun, Mehmet Ali

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

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M3 - Conference proceeding contribution

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SP - 74

EP - 81

BT - 20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011

PB - Curran Associates

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T2 - 20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011

Y2 - 21 March 2011 through 24 March 2011

ER -

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

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