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» Problems of learning in multi-agent systems
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AAMAS
2005
Springer
15 years 12 days 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
15 years 6 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
15 years 6 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
115
Voted
ICTAI
2010
IEEE
14 years 10 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
116
Voted
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 5 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