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FLAIRS
1998
13 years 10 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
ATAL
2010
Springer
13 years 10 months ago
Alternating-time dynamic logic
We propose Alternating-time Dynamic Logic (ADL) as a multi-agent variant of Dynamic Logic in which atomic programs are replaced by coalitions. In ADL, the Dynamic Logic operators ...
Nicolas Troquard, Dirk Walther
HICSS
2009
IEEE
120views Biometrics» more  HICSS 2009»
14 years 4 months ago
Trapping Malicious Insiders in the SPDR Web
The insider threat has assumed increasing importance as our dependence on critical cyber information infrastructure has increased. In this paper we describe an approach for thwart...
J. Thomas Haigh, Steven A. Harp, Richard C. O'Brie...
KCAP
2005
ACM
14 years 2 months ago
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
CAEPIA
2005
Springer
14 years 2 months ago
Multiagent Architecture for Monitoring the North-Atlantic Carbon Dioxide Exchange Rate
This paper presents an architecture that makes it possible to construct dynamic systems capable of growing in dimension and adapting its knowledge to environmental changes. An arch...
Javier Bajo, Juan M. Corchado