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» Problems of learning in multi-agent systems
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AAMAS
2005
Springer
13 years 9 months ago
Argumentation and the Dynamics of Warranted Beliefs in Changing Environments
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
Marcela Capobianco, Carlos Iván Chesñ...
UM
2005
Springer
14 years 3 months ago
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
Siriwan Suebnukarn, Peter Haddawy
ICALT
2005
IEEE
14 years 3 months ago
MALESAbrain for Problem-Based Learning in IT Education
This paper reports MALESAbrain an intelligent online tool for problem-based learning (PBL) in IT education. The learning model of MALESAbrain is built on the notions of threshold ...
Akcell Chiang, Mohd Sapiyan Baba
ICTAI
2010
IEEE
13 years 7 months ago
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Elnaz Bigdeli, Maryam Rahmaninia, Mohsen Afsharchi
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
14 years 3 months ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi