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82
Voted
ATAL
2003
Springer
15 years 5 months ago
An evolutionary framework for studying behaviors of economic agents
We propose an evolutionary framework for studying agents that interact in electronic marketplaces. We describe how this framework could be used to study the dynamics of interactio...
Wolfgang Ketter, Alexander Babanov, Maria L. Gini
AMI
2008
Springer
15 years 2 months ago
An Ambient Agent Model Exploiting Workflow-Based Reasoning to Recognize Task Progress
For an ambient intelligent agent to support a human in demanding tasks it is important to be aware of the progress made in a given workflow. It would be possible to interact with t...
Fiemke Both, Mark Hoogendoorn, Jan Treur
EXPERT
2010
145views more  EXPERT 2010»
14 years 10 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
104
Voted
ATAL
2004
Springer
15 years 5 months ago
Time-Extended Policies in Multi-Agent Reinforcement Learning
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Kagan Tumer, Adrian K. Agogino
129
Voted
ATAL
2008
Springer
15 years 2 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon