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95
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IJCAI
2007
14 years 11 months ago
Emotions as Durative Dynamic State for Action Selection
Human intelligence requires decades of full-time training before it can be reliably utilised in modern economies. In contrast, AI agents must be made reliable but interesting in r...
Emmanuel Tanguy, Philip J. Willis, Joanna Bryson
111
Voted
AAAI
2006
14 years 11 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy
ATAL
2009
Springer
14 years 8 months ago
Decentralized Learning in Wireless Sensor Networks
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
Mihail Mihaylov, Karl Tuyls, Ann Nowé
97
Voted
AAMAS
2008
Springer
14 years 10 months ago
Using quantitative models to search for appropriate organizational designs
As the scale and scope of distributed and multi-agent systems grow, it becomes increasingly important to design and manage the participants' interactions. The potential for b...
Bryan Horling, Victor R. Lesser
91
Voted
ATAL
2005
Springer
15 years 3 months ago
A logic for strategic reasoning
Rational strategic reasoning is the process whereby an agent reasons about the best strategy to adopt in a given multi-agent scenario, taking into account the likely behaviour of ...
Wiebe van der Hoek, Wojciech Jamroga, Michael Wool...