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» Task Models, Intentions, and Agent Conversation Policies
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PPPJ
2004
ACM
15 years 3 months ago
Embedding JAAS in agent roles to apply local security policies
Agents are an emerging technology that grants programmers a new way to exploit distributed resources. Roles are a powerful concept that can be used to model agent interactions, all...
Giacomo Cabri, Luca Ferrari, Letizia Leonardi
78
Voted
UM
2005
Springer
15 years 3 months ago
Modeling Agents That Exhibit Variable Performance in a Collaborative Setting
In a collaborative environment, knowledge about collaborators’ skills is an important factor when determining which team members should perform a task. However, this knowledge ma...
Ingrid Zukerman, Christian Guttmann
91
Voted
AWIC
2003
Springer
15 years 2 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma
AAI
2000
118views more  AAI 2000»
14 years 9 months ago
Vivid Agents: Theory, Architecture, and Applications
Vivid agents [48] are software-controlled systems whose state comprises the mental components of knowledge, perceptions, tasks, and intentions, and whose behaviour is represented ...
Michael Schroeder, Gerd Wagner
78
Voted
ATAL
2007
Springer
15 years 1 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso