article

Linking perception and action through motivation and affect

Author:

Darryl N. DavisAuthors Info & Claims

Journal of Experimental & Theoretical Artificial Intelligence, Volume 20, Issue 1

Pages 37 - 60

https://doi.org/10.1080/09528130701472424

Published: 01 March 2008 Publication History

Abstract

Research into cognitive architectures is described within a framework spanning major issues in artificial intelligence and cognitive science. Earlier work on motivation is extended with a cognitive model of reasoning which, together with an affective mechanism, enables consistent decision-making across a variety of cognitive and reactive processes. Cognition involves the control of behaviour within both external and internal environments. The control of behaviour is vital to an autonomous system as it acts to further its goals. Except in the most spartan of environments, the potential available information and associated combinatorics in a perception, cognition, and action sequence can tax even the most powerful agents. The affect magnitude concept solves some problems with BDI models, and allows for adaptive decision-making over a number of tasks in different domains. The cognitive and affective components are brought together using motivational constructs. The generic cognitive model can adapt to different environments and tasks as it makes use of motivational models to direct reactive and situated processes.

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Cited By

Li MXie LZhang ARen F(2019)Reinforcement Emotion-Cognition SystemComputational Intelligence and Neuroscience10.1155/2019/89043892019Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1155/2019/8904389
Davis DVenkatamuni V(2010)A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial EconomicsInternational Journal of Artificial Life Research10.4018/jalr.20101021041:1(51-71)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.4018/jalr.2010102104

Index Terms

Linking perception and action through motivation and affect
1. Computing methodologies
  1. Artificial intelligence
  2. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. Theory of computation
  1. Logic

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cover image Journal of Experimental & Theoretical Artificial Intelligence

Journal of Experimental & Theoretical Artificial Intelligence Volume 20, Issue 1

March 2008

78 pages

ISSN:0952-813X

EISSN:1362-3079

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Taylor & Francis, Inc.

United States

Publication History

Published: 01 March 2008

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Cited By

Li MXie LZhang ARen F(2019)Reinforcement Emotion-Cognition SystemComputational Intelligence and Neuroscience10.1155/2019/89043892019Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1155/2019/8904389
Davis DVenkatamuni V(2010)A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial EconomicsInternational Journal of Artificial Life Research10.4018/jalr.20101021041:1(51-71)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.4018/jalr.2010102104

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