An adaptive model for dynamics of desiring and feeling based on hebbian learning

Authors:
Tibor Bosse;Mark Hoogendoorn;Zulfiqar A. Memon;Jan Treur;Muhammad Umair
Affiliations:
VU University Amsterdam, Department of AI, Amsterdam, The Netherlands;VU University Amsterdam, Department of AI, Amsterdam, The Netherlands;VU University Amsterdam, Department of AI, Amsterdam, The Netherlands and Sukkur Ins. of Business Administration, Sindh, Pakistan;VU University Amsterdam, Department of AI, Amsterdam, The Netherlands;VU University Amsterdam, Department of AI, Amsterdam, The Netherlands and COMSATS Institute of Information Technology, Dept. of Computer Science, Lahore, Pakistan
Venue:
BI'10 Proceedings of the 2010 international conference on Brain informatics
Year:
2010

Citing 2
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Modelling the reciprocal interaction between believing and feeling from a neurological perspective

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A domain-independent framework for modeling emotion

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Abstract

Within cognitive models, desires are often considered as functional concepts that play a role in efficient focusing of behaviour. In practice a desire often goes hand in hand with having certain feelings. In this paper by adopting neurological theories a model is introduced incorporating both cognitive and affective aspects in the dynamics of desiring and feeling. Example simulations are presented, and both a mathematical and logical analysis is included.