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» Measuring Agent Intelligence via Hierarchies of Environments
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MMAS
2004
Springer
14 years 2 months ago
Challenges in Building Very Large Teams
Abstract. When agents coordinate according to the principles of teamwork they can flexibly, robustly and reliably achieve complex goals in complex, dynamic and even hostile enviro...
Paul Scerri, Katia Sycara-Cyranski
ATAL
2006
Springer
14 years 20 days ago
On the response of EMT-based control to interacting targets and models
A novel control mechanism was recently introduced based on Extended Markov Tracking (EMT) [9, 10]. In this paper, we present a study of its response to multiple interacting contro...
Zinovi Rabinovich, Jeffrey S. Rosenschein
IWANN
2009
Springer
14 years 3 months ago
General Purpose Agent-Based Parallel Computing
Parallel computing has become an important research field in the last years. The availability of hardware and the success of grid computing have motivated this interest. In this pa...
David Sánchez, David Isern, Ángel Ro...
AAAI
2004
13 years 10 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
ATAL
2005
Springer
14 years 2 months ago
Formalising trust for online communities
Provision of services within a virtual framework for resource sharing across institutional boundaries has become an active research area. Many such services encode access to compu...
Ali Shaikh Ali, Omer F. Rana