This paper describes an approach based on affect to the problem of exploring unknown environments populated with entities by agents. To this end, a multi-agent system based on the notion of affect as well as on the Belief-Desire-Intention (BDI) model was used. The affective component of the agents is confined to the motivations that are usually associated to exploratory behavior: surprise, curiosity and hunger. An experiment that evaluates the role of these motivations in exploration performance is presented.
Conference
12th Portuguese Conference on Artificial Intelligence, EPIA 2005, December 2005
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Year 2019 : 2 citations
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Year 2017 : 2 citations
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Year 2015 : 1 citations
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Year 2014 : 1 citations
Wu, Q. (2014). Modeling curiosity for intelligent agents (Doctoral dissertation).
Year 2013 : 2 citations
Wu, Q., & Miao, C. (2013). Modeling Curiosity-Related Emotions for Virtual Peer Learners. Computational Intelligence Magazine, IEEE, 8(2), 50-62.
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Year 2012 : 1 citations
Pal, A., Tiwari, R., & Shukla, A. (2012). Multi-robot exploration in wireless environments. Cognitive Computation, 4(4), 526-542.
