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Artificial Intelligence pp 65–84Cite as

A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11866))

Abstract

Motivational Systems are specific modules of Cognitive Architectures, responsible for determining the behavior of artificial agents based on cognitive models of human motivations and emotions. In this work we discuss how these ideas coming from psychology can be used in the field of cognitive architectures, explaining how motivational systems differ from other kinds of systems, and how they can be used to build control systems for artificial agents.

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Notes

  1. 1.

    According to Peirce, firstness is the mode of being of that which is such as it is, positively and without reference to anything else (CP 8.328; 1.295). The idea of First is predominant in the ideas of freshness, life, freedom (CP 1.302), novelty, creation, originality, potentiality, randomness. Secondness is the mode of being of that which is such as it is, with respect to a second but regardless of any third (CP 8.328; 1.296). The idea of second is predominant in the ideas of causation and of static force (CP 1.325), comparison, opposition, polarity, differentiation, existence (opposition to everything else). Thirdness is the mode of being of that which is such as it is, in bringing a first and second into relation to each other (CP 8.328; 1.297). The idea of third is predominant in the ideas of generality, infinity, continuity, diffusion, growth, intelligence (CP 1.340), meaning, mediation and representation.

  2. 2.

    Izard (2010) compiled 92 different definitions for the term “emotion”, collected from books and articles in journals.

  3. 3.

    See the concept of emotional intelligence defended by Goleman (1995), where emotions are pointed out as a foundation in the process of rationality.

  4. 4.

    A meta-model is a model of a model, i.e., a kind of abstract model which demands an instance in a concrete model, in order to be used.

  5. 5.

    I.e., in critical situations, there is not enough time for slow decision-making processes, and a fast behavior might be necessary to take the system out of the critical situation.

  6. 6.

    Some people might understand that animals without a limbic system might be able to perform emotional behavior.

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Acknowledgments

The authors thank Ericsson Research Brazil, Ericsson Telecomunicações S.A. Brazil (Proc. FUNCAMP 4881.7) and CEPID/BRAINN (Proc. FAPESP 2013/07559-3) for supporting this research.

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  1. DCA-FEEC-UNICAMP, Av. Albert Einstein 400, Campinas, SP, 13.083-852, Brazil

    Ricardo R. Gudwin

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  1. Ricardo R. Gudwin
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Correspondence to Ricardo R. Gudwin .

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  1. Federal Research Center "Computer Science and Control", Moscow, Russia

    Gennady S. Osipov

  2. Federal Research Center "Computer Science and Control", Moscow, Russia

    Aleksandr I. Panov

  3. Federal Research Center "Computer Science and Control", Moscow, Russia

    Konstantin S. Yakovlev

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Gudwin, R.R. (2019). A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems. In: Osipov, G., Panov, A., Yakovlev, K. (eds) Artificial Intelligence. Lecture Notes in Computer Science(), vol 11866. Springer, Cham. https://doi.org/10.1007/978-3-030-33274-7_4

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