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PODC
1989
ACM
15 years 3 months ago
Knowledge, Probability, and Adversaries
: What should it mean for an agent to know or believe an assertion is true with probability :99? Di erent papers FH88, FZ88, HMT88] give di erent answers, choosing to use quite di ...
Joseph Y. Halpern, Mark R. Tuttle
ATAL
2006
Springer
15 years 3 months ago
Accident or intention: that is the question (in the Noisy Iterated Prisoner's Dilemma)
This paper focuses on the Noisy Iterated Prisoner's Dilemma, a version of the Iterated Prisoner's Dilemma (IPD) in which there is a nonzero probability that a "coop...
Tsz-Chiu Au, Dana S. Nau
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 6 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
IJCNN
2006
IEEE
15 years 5 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
AGENTS
1997
Springer
15 years 4 months ago
Modeling Motivations and Emotions as a Basis for Intelligent Behavior
We report on an experiment to implement an autonomous creature situated in a two-dimensional world, that shows various learning and problem-solving capabilities, within the Societ...
Dolores Cañamero