Decision Making for Affective Agents in Assistive Environments

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Conference Proceedings (fully refereed)
Konstantinos Tsiakas
In this paper, we discuss the Decision Making and Learning ability of Affective Agents to make human-like decisions. This work is in the context of Assistive Living Environments (ALE) applications, where an agent is capable of assisting a human in physical and cognitive reha-bilitation through multimodal and adaptive interaction. The goal of this research is to investigate what role multimodality plays in producing a natural and effective interaction using Reinforcement Learning. We propose a hierarchical decision making framework for affective agents doing complex tasks. This framework incorporates an internal reward mechanism to make the learning more efficient.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
IVA 2015
Conference Full Name: 
Fifteenth International Conference on Intelligent Virtual Agents
Conference Country: 
Conference Venue: 
Science Centre Delft
Conference Date(s): 
Wed, 26/08/2015 - Fri, 28/08/2015
Conference Level: 

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