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AI
2002
Springer
15 years 1 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
AI
2002
Springer
15 years 1 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
AAMAS
2000
Springer
15 years 1 months ago
Algorithms for Distributed Constraint Satisfaction: A Review
When multiple agents are in a shared environment, there usually exist constraints among the possible actions of these agents. A distributed constraint satisfaction problem (distrib...
Makoto Yokoo, Katsutoshi Hirayama
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
15 years 3 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
PROLAMAT
1998
15 years 2 months ago
Cooperative Information Management for Distributed Production Nodes
Advanced manufacturing environments nowadays involve a number of cooperating heterogeneous nodes, where each node supports a distinct activity, and their joint efforts and informa...
Hamideh Afsarmanesh, Ammar Benabdelkader, Louis O....