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» Learning Action Selection Network of Intelligent Agent
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WEBI
2005
Springer
15 years 8 months ago
An Adaptive Architecture for Physical Agents
In this paper we describe ICARUS, an adaptive architecture for intelligent physical agents. We contrast the framework’s assumptions with those of earlier architectures, taking e...
Pat Langley
ATAL
2011
Springer
14 years 3 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey
116
Voted
AAMAS
2005
Springer
15 years 9 months ago
Towards Time Management Adaptability in Multi-agent Systems
Abstract. So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and ...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...
141
Voted
EUC
2005
Springer
15 years 9 months ago
A Multi-dimensional Model for Task Representation and Allocation in Intelligent Environments
Abstract. In the future, homes will have numerous intelligent communicating devices, and the user would like to configure and coordinate their actions. Appliances and people in in...
Victor Zamudio, Victor Callaghan, Jeannette Shiaw-...
148
Voted
ATAL
2007
Springer
15 years 7 months ago
On Choosing an Efficient Service Selection Mechanism in Dynamic Environments
Consumers use service selection mechanisms to decide on a service provider to interact with. Although there are various service selection mechanisms, each mechanism has different s...
Murat Sensoy, Pinar Yolum