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Recombinant Rule Selection in Evolutionary Algorithm for Fuzzy Path Planner of Robot Soccer [chapter]

Jong-Hwan Park, Daniel Stonier, Jong-Hwan Kim, Byung-Ha Ahn, Moon-Gu Jeon
Lecture Notes in Computer Science  
A rule selection scheme of evolutionary algorithm is proposed to design fuzzy path planner for shooting ability in robot soccer.  ...  The method was evaluated with application of designing the fuzzy path planner, where each fuzzy rule was encoded as a gene.  ...  Acknowledgement This research is supported by the Ubiquitous Computing and Network (UCN) Project, the Ministry of Information and Communication (MIC) 21st Century Frontier R&D Program in Korea.  ... 
doi:10.1007/978-3-540-69912-5_24 dblp:conf/ki/ParkSKAJ06 fatcat:xnw2au367jaktibzh2efl6bwyu

A Selection Scheme for Excluding Defective Rules of Evolutionary Fuzzy Path Planning [chapter]

Jong-Hwan Park, Jong-Hwan Kim, Byung-Ha Ahn, Moon-Gu Jeon
2006 Lecture Notes in Computer Science  
This method is applied to a fuzzy path planner for the shooting of a soccer robot, where each fuzzy rule is encoded as a gene.  ...  This paper proposes a new selection mechanism in evolutionary algorithm for fuzzy systems that can be applied to robot learning of shooting ability in robot soccer.  ...  The evolved fuzzy system to be examined in this study is a path planner for shooting in robot soccer.  ... 
doi:10.1007/978-3-540-36668-3_79 fatcat:j7u7qpyk55hs7kkxjzfkxc3ohq

A Selection Scheme for Excluding Defective Rules of Evolutionary Fuzzy Path Planning [chapter]

Jong-Hwan Park, Jong-Hwan Kim, Byung-Ha Ahn, Moon-Gu Jeon
Lecture Notes in Computer Science  
This method is applied to a fuzzy path planner for the shooting of a soccer robot, where each fuzzy rule is encoded as a gene.  ...  This paper proposes a new selection mechanism in evolutionary algorithm for fuzzy systems that can be applied to robot learning of shooting ability in robot soccer.  ...  The evolved fuzzy system to be examined in this study is a path planner for shooting in robot soccer.  ... 
doi:10.1007/11801603_79 dblp:conf/pricai/ParkKAJ06 fatcat:idx4yuuyyfg2rkno3livufsvla

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Mitchell's, (1982; candidate-elimination algorithm performs a bidirectional search in the hypothesis space.  ...  It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  Some algorithms, most notably CN2 (Clark and Niblett 1989; Clark and Boswell 1991) , learn multi-class rules directly by optimizing overall possible classes in the head of the rule.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

Expressive Motion for Low Degree-of-Freedom Robots

Heather Knight
2018
As social and collaborative robots move into everyday life, the need for algorithms enabling their acceptance becomes critical.  ...  While this is not the only way for a robot to communicate expression, Expressive Motion is a channel available to all moving machines, which can work in tandem with additional communication modalities.  ...  Evolutionary computation is easy to explain to the user because of the parallels to human genetics, in which children recombine the chromosomes of their Figure 7 .12: Illustration of Best Path Selection  ... 
doi:10.1184/r1/6716615.v1 fatcat:ubeef5arwrbbrnzjkwktmfs37u

PERMIS-2007 PERFORMANCE METRICS FOR INTELLIGENT SYSTEMS WORKSHOP

Courtyard Gaithersburg, Washingtonian Center
2007 PerMIS   unpublished
The workshop has proved to be an excellent forum for discussions and partnerships , dissemination of ideas, and future collaborations in an informal setting.  ...  PerMIS'07 will be the seventh in the series that started in 2000, targeted at defining measures and methodologies of evaluating performance of intelligent systems.  ...  ACKNOWLEDGEMENTS The authors would like to thank the developers of USARSim, Benjamin Balaguer for assisting in Talon model modifications, and Tony Downs for conducting and assisting in testing with the  ... 
fatcat:zsy7x7lwy5ee5aee3awdr2syee

Quality of Experience: From Assessment to Application (Dagstuhl Seminar 15022) Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031) Model-driven Algorithms and Architectures for Self-Aware Computing Systems (Dagstuhl Seminar 15041) Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051)

Michael Philippsen, Pascal Felber, Michael Scott, J Eliot, Katrien De Moor, Markus Fiedler, Peter Reichl, Martín Varela, Salvatore Greco, Kathrin Klamroth, Joshua Knowles, Günter Rudolph (+13 others)
2015 unpublished
The example problems mentioned in this report may serve as a first benchmark for such approaches.  ...  The research field of artificial and computational intelligence in games focuses on the wide variety of advanced computational techniques used to create, enhance, and improve the experiences of humans  ...  For example, in order to take concerted decisions on the allocation of tasks a team of soccer robots needs to know the position of the ball, the position of the opponents, the current strategy, etc.  ... 
fatcat:ckaercgotnenhidbwsz7zufttq