Title: A probabilistic agent to support collaboration in a medical learning environment

Authors: Elisa Boff, Rosa Maria Vicari, Moser Silva Fagundes, Eliseo Berni Reategui

Addresses: Computer Science Department, Caxias do Sul University (UCS), CEP 95.001-970, Caxias do Sul, RS, Brazil. ' Computer Science Institute, Federal University of Rio Grande do Sul (UFRGS), P.O. Box 15.064 – 91.501-970, Porto Alegre, RS, Brazil. ' Computer Science Institute, Federal University of Rio Grande do Sul (UFRGS), P.O. Box 15.064 – 91.501-970, Porto Alegre, RS, Brazil. ' Postgraduate Program of Computers in Education (PGIE), Federal University of Rio Grande do Sul (UFRGS), 90040-060, Porto Alegre (RS), Brazil

Abstract: Social relationships are highly complex activities that are very difficult to model computationally. In order to represent these relationships, we may consider various aspects of the individual, such as affective state, psychological issues and cognition. We may also consider social aspects, as how people relate to each other and to what group they belong. Intelligent tutoring systems, multi-agent systems and affective computing are research areas which our research group have been investigating in order to improve individual and collaborative learning. This paper focuses on a Social Agent which has been modelled using probabilistic networks and acts in an educational application. Using the Social Agent as a testbed, we present a way to perform the deliberation process in BDI and Bayesian networks. The assemblage of mental states and Bayesian networks is done by viewing beliefs as networks and desires and intentions as particular chance variable states that agents pursue. In this work, we are particularly concerned with the deliberation about which states of affairs the agent will intend. The focus of this paper is on how to build a real application by using the deliberation process developed in one of our previous work.

Keywords: deliberation; probabilistic systems; BDI; belief-desire-intention; social interaction; collaboration; medical learning environment; reasoning-based intelligent systems; social agents; Bayesian networks; intelligent tutoring systems; multi-agent systems; MAS; agent-based systems; affective computing; collaborative learning.

DOI: 10.1504/IJRIS.2009.028012

International Journal of Reasoning-based Intelligent Systems, 2009 Vol.1 No.3/4, pp.124 - 131

Published online: 27 Aug 2009 *

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