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MAAMAW
1993
Springer
15 years 6 months ago
Coalition Formation Among Autonomous Agents: Strategies and Complexity
Autonomous agents are designed to reach goals that were pre-de ned by their operators. An important way to execute tasks and to maximize payo is to share resources and to cooperate...
Onn Shehory, Sarit Kraus
IBPRIA
2009
Springer
15 years 7 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
125
Voted
ITS
2004
Springer
123views Multimedia» more  ITS 2004»
15 years 8 months ago
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
Koen Veermans, Wouter R. van Joolingen
122
Voted
HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
15 years 8 months ago
Using Content and Process Scaffolds to Support Collaborative Discourse in Asynchronous Learning Networks
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
I. Wong-Bushby, Starr Roxanne Hiltz, Michael Biebe...
111
Voted
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 7 months ago
Issues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Piotr J. Gmytrasiewicz