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» Knowledge Difference and its Influence on a Search Agent
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78
Voted
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 4 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...
72
Voted
INTR
2002
50views more  INTR 2002»
14 years 10 months ago
Methodologies for crawler based Web surveys
There have been many attempts to study the content of the web, either through human or automatic agents. Five different previously used web survey methodologies are described and ...
Mike Thelwall
102
Voted
CEC
2008
IEEE
15 years 4 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira
GECCO
2005
Springer
161views Optimization» more  GECCO 2005»
15 years 3 months ago
Autonomous navigation system applied to collective robotics with ant-inspired communication
Research in collective robotics is motivated mainly by the possibility of achieving an efficient solution to multi-objective navigation tasks when multiple robots are employed, in...
Renato Reder Cazangi, Fernando J. Von Zuben, Maur&...
AAAI
2000
14 years 11 months ago
DATALOG with Constraints - An Answer-Set Programming System
Answer-set programming (ASP) has emerged recently as a viable programming paradigm well attuned to search problems in AI, constraint satisfaction and combinatorics. Propositional ...
Deborah East, Miroslaw Truszczynski