1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Algorithms and Logic, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Department of Informatics and Mathematical Modeling, Technical University of Denmark
This paper investigates an approach of decision making internally in an agent where a decision is based on preference and expectation. The approach uses a logic for qualitative decision theory proposed by Boutilier to express such notions. To make readily use of this we describe a simple method for generating preference and expectation models that respect certain rules provided by the agents, and we briefly discuss how to integrate the approach into an existing agent programming language.
Lecture Notes in Computer Science: First International Workshop, Emas 2013, St. Paul, Mn, Usa, May 6-7, 2013, Revised Selected Papers, 2013, p. 137-155
Main Research Area:
Lecture Notes in Computer Science
1st International Workshop on Engineering Multi-Agent Systems (EMAS 2013)