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ICML
2003
IEEE
16 years 7 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
IPPS
2007
IEEE
16 years 1 months ago
Transaction Based Authentication Scheme for Mobile Communication: A Cognitive Agent Based Approach
The vulnerable air interface, device level constraints, and insecure encryption techniques of wireless networks have naturally increased the chance of attacker obtaining users inf...
B. Sathish Babu, Pallapa Venkataram
191
Voted
LADS
2007
Springer
16 years 29 days ago
An Argumentation Based Semantics for Agent Reasoning
A key challenge for agent architectures and programming paradigms is to account for defeasible reasoning over mental attitudes and to provide associated conflict resolution mechan...
Sanjay Modgil
ACMICEC
2006
ACM
150views ECommerce» more  ACMICEC 2006»
16 years 24 days ago
A framework for managing optimization models for supply chain software agents
As third party logistic services become popular, the role of software agents increases in importance in terms of the logistics scheduling of buyers and sellers. To support many mo...
Jae Kyu Lee, Yong Sik Chang
AI
2003
Springer
16 years 2 days ago
DIAGAL: A Tool for Analyzing and Modelling Commitment-Based Dialogues between Agents
Abstract. This paper overviews our currently in progress agent communication language simulator, called DIAGAL, by describing its use in analyzing and modelling automated conversat...
Marc-André Labrie, Brahim Chaib-draa, Nicol...