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IJCAI
2001
13 years 6 months ago
Multi-Agent Influence Diagrams for Representing and Solving Games
The traditional representations of games using the extensive form or the strategic (normal) form obscure much of the structure that is present in real-world games. In this paper, ...
Daphne Koller, Brian Milch
UAI
2008
13 years 6 months ago
Identifying reasoning patterns in games
We present an algorithm that identifies the reasoning patterns of agents in a game, by iteratively examining the graph structure of its Multi-Agent Influence Diagram (MAID) repres...
Dimitrios Antos, Avi Pfeffer
JAIR
2008
138views more  JAIR 2008»
13 years 4 months ago
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
Ya'akov Gal, Avi Pfeffer
UAI
2001
13 years 6 months ago
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation
In this paper we present three different architectures for the evaluation of influence diagrams: HUGIN, Shafer-Shenoy (S-S), and Lazy Propagation (LP). HUGIN and LP are two new ar...
Anders L. Madsen, Dennis Nilsson
EOR
2008
97views more  EOR 2008»
13 years 4 months ago
Decision making with hybrid influence diagrams using mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Barry R. Cobb, Prakash P. Shenoy