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ATAL
2007
Springer
14 years 1 months ago
Dynamic semantics for agent communication languages
This paper proposes dynamic semantics for agent communication languages (ACLs) as a method for tackling some of the fundamental problems associated with agent communication in ope...
Michael Rovatsos
FLAIRS
2003
13 years 9 months ago
Improving the Representation Space through Exception-Based Learning
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...
ECTEL
2006
Springer
13 years 11 months ago
Language Technology for eLearning
Abstract. Given the huge amount of static and dynamic content created for eLearning tasks, the major challenge for extending their use is to improve the effectiveness of retrieval ...
Paola Monachesi, Lothar Lemnitzer, Kiril Ivanov Si...
ATAL
2005
Springer
14 years 1 months ago
Using the UML 2.0 activity diagram to model agent plans and actions
The behavior of an agent is defined through the specification of plans and actions. Agents have a set of plans that are selected to be executed according to their goals (and other...
Viviane Torres da Silva, Ricardo Choren, Carlos Jo...
ATAL
2009
Springer
14 years 2 months ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom