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ATAL
2011
Springer
9 years 2 months ago
Multi-criteria argument selection in persuasion dialogues
The main goal of a persuasion dialogue is to persuade, but agents may have a number of additional goals concerning the dialogue duration, how much and what information is shared o...
Thomas L. van der Weide, Frank Dignum, John-Jules ...
AAMAS
2002
Springer
10 years 2 months ago
Game Theory and Decision Theory in Multi-Agent Systems
In the last few years, there has been increasing interest from the agent community in the use of techniques from decision theory and game theory. Our aims in this article are first...
Simon Parsons, Michael Wooldridge
ECWEB
2010
Springer
195views ECommerce» more  ECWEB 2010»
10 years 4 months ago
Comparing Techniques for Preference Relaxation: A Decision Theory Perspective
This research proposes a decision aid based on a novel type of preference relaxation, which enables consumers to easily make quality choices in online multiattribute choice scenari...
Maciej Dabrowski, Thomas Acton
DIALM
2000
ACM
112views Algorithms» more  DIALM 2000»
10 years 7 months ago
A decision-theoretic approach to resource allocation in wireless multimedia networks
The allocation of scarce spectral resources to support as many user applications as possible while maintaining reasonable quality of service is a fundamental problem in wireless c...
Zygmunt J. Haas, Joseph Y. Halpern, Erran L. Li, S...
KR
2004
Springer
10 years 8 months ago
Evidence and Belief
We discuss the representation of knowledge and of belief from the viewpoint of decision theory. While the Bayesian approach enjoys general-purpose applicability and axiomatic foun...
Itzhak Gilboa, David Schmeidler
ALDT
2009
Springer
144views Algorithms» more  ALDT 2009»
10 years 9 months ago
Aggregating Interval Orders by Propositional Optimization
Aggregating preferences for finding a consensus between several agents is an important issue in many fields, like economics, decision theory and artificial intelligence. In this...
Daniel Le Berre, Pierre Marquis, Meltem Özt&u...
ICAART
2010
INSTICC
10 years 12 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis

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Sudeep Regmi
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