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...
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...
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 ...
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. &...
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...