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AAAI
2006
15 years 4 months ago
QUICR-Learning for Multi-Agent Coordination
Coordinating multiple agents that need to perform a sequence of actions to maximize a system level reward requires solving two distinct credit assignment problems. First, credit m...
Adrian K. Agogino, Kagan Tumer
136
Voted
IAT
2007
IEEE
15 years 9 months ago
Dynamic Data Driven Multi-Agent Simulation
Networks of sensors and simulation models of the physical environment have been implemented separately, often using agent-based methodologies. Some work has been done in providing...
Gary M. Pereira
133
Voted
IFIP
1998
Springer
15 years 7 months ago
Scheduling in a Multi-Agent Environment
A new scheduling agent for existing CIM multi-agent system is being currently developed at the Technical University of Kosice. The basic idea is to create an agent based on Schedu...
M. Schmotzer, Jan Paralic, Julius Csontó
110
Voted
TARK
1998
Springer
15 years 7 months ago
Conditional, Hierarchical, Multi-Agent Preferences
We develop a revealed-preferencetheory for multiple agents. Some features of our construction, which draws heavily on Jeffrey's utility theory and on formal constructions by D...
Pierfrancesco La Mura, Yoav Shoham
121
Voted
EUSFLAT
2007
131views Fuzzy Logic» more  EUSFLAT 2007»
15 years 5 months ago
Fault Diagnosis with Progressive Symptoms Based on Multi-Agent Approach
The paper is devoted to fault diagnosis problems using fuzzy decision making. We investigate dynamic diagnostic systems which can be represented by symptom-fault rule bases. The m...
Oleksandr Sokolov, Michael Wagenknecht, Ulrike Goc...