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» Learning Models of Intelligent Agents
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148
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FDG
2009
ACM
15 years 2 months ago
Toward a domain-independent framework to automate scaffolding of task-based learning in digital games
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...
James M. Thomas, R. Michael Young
117
Voted
ATAL
2000
Springer
15 years 9 months ago
Planning-Task Transformations for Soft Deadlines
Agents often have preference models that are more complicated than minimizing the expected execution cost. In this paper, we study how they should act in the presence of uncertaint...
Sven Koenig
ATAL
2010
Springer
15 years 6 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
EVOW
2010
Springer
15 years 10 months ago
Markov Chain Models for Genetic Algorithm Based Topology Control in MANETs
Abstract. We analyze the convergence properties of our force based genetic algorithm(fga) as a decentralized topology control mechanism distributed among software agents. fga guide...
Cem Safak Sahin, Stephen Gundry, Elkin Urrea, M. &...
AOSE
2001
Springer
15 years 9 months ago
Modeling Early Requirements in Tropos: A Transformation Based Approach
We are developing an agent-oriented software development methodology, called Tropos, which integrates ideas from multi-agentsystem technologies and RequirementsEngineering researc...
Paolo Bresciani, Anna Perini, Paolo Giorgini, Faus...