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2008

Interacting with an artificial partner: modeling the role of emotional aspects

9 years 3 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated agents. Based on the agent's personality, attitude, and nature, and on the emotional inputs it receives, the model will determine the next emotional state displayed by the agent itself. The probabilistic and time-varying nature of the model yields rich and dynamic interactions, and an autonomous adaptation to the interlocutor. In addition, a reinforcement learning technique is applied to have one agent drive its partner's behavior toward desired states. The model may also be used as a tool for behavior analysis, by extracting high probability patterns of interaction and by resorting to the ergodic properties of Markov chains.
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2008
Where BC
Authors Isabella Cattinelli, Massimiliano Goldwurm, N. Alberto Borghese
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