Genetics-Based Machine Learning and Behavior-Based Robotics: A New Synthesis

IEEE Transactions on Systems, Man and Cybernetics

Volumn 23, Issue 1, 1993, Pages 141-154

  Schnepf, Uwe ^b  

^a INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^b FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COGNITIVE SYSTEMS; INTELLIGENT ROBOTS; LEARNING SYSTEMS;

BEHAVIOR BASED ROBOTICS; MACHINE LEARNING; REASONING;

ROBOT LEARNING;

EID: 0027308052     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/21.214773     Document Type: Article

References (23)

1. R. C. Arkin, “Neuroscience in Motion, The application of schema theory to mobile robotics,” in Visuomotor Coordination: Amphibians, Comparisons, Models, and Robots, E. Ewert and M. Arbib, Eds. New York: Plenum, 1987, pp. 649–671.
2. L. Booker, “Classifier systems that learn internal world models,” Machine Learning, vol. 3, no. 3, 161–192, 1988.
3. L. Booker, D. E. Goldberg, and J. H. Holland, “Classifier systems and genetic algorithms,” Artificial Intell., vol. 40, pp. 235–282, 1989.
4. R. A. Brooks, “A robust layered control system for a mobile robot,” Artificial Intell. Memo 864, MIT, Cambridge, MA, 1985.
5. R. A. Brooks, “Achieving artificial intelligence through building robots,” Artificial Intell. Memo 899, MIT, Cambridge, MA, 1986.
6. R. A. Brooks and P. Maes, “Learning to coordinate behaviors,” in Proc. AAAI 90, 1990, USA.
7. R. A. Brooks, “Artificial life and real robots,” to appear in Proc. 1st Eur. Conf Artificial Life, Dec. 1991, Paris, France.
8. M. Dorigo, “Using transputers to increase speed and flexibility of genetics-based machine learning systems,” Microprocessing and Microprogramming J., vol. 34, pp. 147–152, 1992.
9. M. Dorigo, “Alecys and the AutonoMouse: Learning to control a real robot by distributed classifer systems,” Rapporto Tecnico no. 92–011, Dip. Elett. e Inf., Politecnico di Milano, Milano, Italy, 1992.
10. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. New York: Addison-Wesley, 1989.
11. J. J. Grefenstette, C. L. Ramsey, and A. C. Schulz, “Learning sequential decision rules using simulation models and competition,” Machine Learning, vol. 5, 355–382, 1990.
12. G. E. Hinton, J. H. McClelland, and D. E. Rumelhart, “Distributed representations,” in Parallel Distributed Processing, vol. 1. Cambridge, MA: MIT Press, 1986, 77–109.
13. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor: The University of Michigan Press, 1975.
14. J. H. Holland, “Escaping brittleness: The possibilities of general purpose learning algorithms applied to parallel rulebased systems,” in Machine Learning II, R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, Eds. San Mateo, CA: Kaufmann, 1986.
15. O. Holland and M. Snaith, “The use of neural modelling in the development of autonomous mobile robots,” Tech. Rep. Technol. Appl. Alnwick, UK, 1990.
16. P. Maes, “How to do the right thing,” Connection Sci., vol. 1, no. 3, 1990.
17. U. Schnepf, “Robot ethology: A proposal for the research into intelligent autonomous systems,” in Proc. Int. Conf. Simulation of Adaptive Behavior: From Animals to Animats (SAB-90), Sept. 1990, Paris, France.
18. N. Tinbergen, The Study of Instincts. Oxford, UK: Oxford Univ. Press, 1966.
19. S. Wilson, “Classifier systems and the animat problem,” Machine Learning, vol. 2, no. 3, pp. 199–228, 1987.
20. S. Wilson, “Hierarchical credit allocation in a classifier system,” in Proc. 10th Int. Joint Conf. Artificial Intell., Aug. 23–28, 1987, Milan, Italy, pp. 217–220.
21. H. H. Zhou, “CSM: A computational model of cumulative learning,” Machine Learning, vol. 5, no. 4, 383-106, 1990.
22. A. Bertoni and M. Dorigo, “Implicit parallelism in genetic algorithms,” to appear in Artificial Intell., 1993.
23. M. Colombetti and M. Dorigo, “Robot shaping: Developing situated agents through learning,” Rapporto Tecnico no. 92–040, Int., Comput. Sci. Inst., Berkeley,. CA, 1992.