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An evolutionary online adaptation method for modern computer games based on imitation
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Genetic And Evolutionary Computation Conference archive
Proceedings of the 9th annual conference on Genetic and evolutionary computation table of contents
London, England
POSTER SESSION: Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware: posters table of contents
Pages: 344 - 345  
Year of Publication: 2007
ISBN:978-1-59593-697-4
Authors
Steffen Priesterjahn  University of Paderborn, Paderborn, Germany
Alexander Weimer  University of Paderborn, Paderborn, Germany
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 27,   Citation Count: 1
Additional Information:

references   cited by   index terms   collaborative colleagues  

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
S. Priesterjahn, O. Kramer, A. Weimer, and A. Goebels. Evolution of Reactive Rules in Multi Player Computer Games based on Imitation. In Proceedings of the International Conference on Natural Computation (ICNC'06), volume 2, pages 744--755, 2005.
 
2
S. Priesterjahn, O. Kramer, A. Weimer, and A. Goebels. Evolution of Human-Competitive Agents inModern Computer Games. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'06), pages 777--784, 2006.

CITED BY
Steffen Priesterjahn , Alexander Weimer , Markus Eberling, Real-time imitation-based adaptation of gaming behaviour in modern computer games, Proceedings of the 10th annual conference on Genetic and evolutionary computation, July 12-16, 2008, Atlanta, GA, USA

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Intelligent agents

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Multiagent systems
      I.2.6 Learning
          Subjects: Knowledge acquisition


General Terms:
Algorithms


Keywords:
computer games, distributed learning, evolutionary computation, imitation, memetics

Collaborative Colleagues:
Steffen Priesterjahn: colleagues
Alexander Weimer: colleagues

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