Using the experimental method to produce reliable self-organised systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3464 LNAI, Issue , 2005, Pages 84-99

  Edmonds, Bruce ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE APPROACH; DESIGN METHOD; EXPERIMENTAL METHODS; FORMAL SPECIFICATION; NATURAL EXTENSION; OPEN-SOURCE CODE; SELF-ORGANISED; SOFTWARE SYSTEMS;

MACHINE DESIGN; TURING MACHINES;

MULTI AGENT SYSTEMS;

EID: 77649247508     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11494676_6     Document Type: Conference Paper

References (21)

1. Bak, P. (1997) How Nature Works: The Science of Self Organized Criticality. Oxford, Oxford University Press.
2. Baram, Y., El Yaniv, R. & Luz, K. (2004). Online Choice of Active Learning Algorithms. Journal of Machine Learning Research, 5:255-291. http://www.jmlr.org/papers/v5/baram04a.html
3. de Castro, L. N. & Timmis, J. I. (2002), Artificial Immune Systems: A New Computational Intelligence Approach, Springer-Verlag, London, September, 357 p.
4. Conte, R. and Paolucci, M. (2002) Reputation in Artificial Societies - Social beliefs for social order. Kluwer.
5. Cutland N.J. (1990). Computability. Cambridge: Cambridge University Press.
6. Edmonds, B. (2002) Simplicity is Not Truth-Indicative. CPM Report 02-99, MMU, 2002. (http://cfpm.org/cpmrep99.html).
7. Edmonds, B. and Moss, S. (2004) From KISS to KIDS - an 'anti-simplistic' modelling approach. Workshop on Multi-Agent Simulation and Multi-Agent Based Simulation (MAMABS), at AAMAS, New York, July. To be published in LNAI. (http://cfpm.org/cpmrep132.html)
8. rd International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS'04), July 19-23, New York, ACM Press, 938-945.
9. Fogel, L. J., Owens, A. J. and Walsh, M. J. (1967). Artificial Intelligence Through Simulated Evolution. John Wiley & Sons.
10. Gödel, K. (1931) Uber formal unentscheidbare Sätze der Principia Mathematica und verwandter System I. Monatschefte Math. Phys. 38:173-198.
11. Hales, D. (2004) Change Your Tags Fast! - a necessary condition for cooperation? Workshop on Multi-Agent Simulation and Multi-Agent Based Simulation (MAMABS), at AAMAS, New York, July. To be published in LNAI. (http://cfpm.org/~david/papers/mabs2004.pdf)
12. nd Int. Conference on Autonomous Agents and Multiagent Systems, Melbourne, July 2003 (AAMAS03), ACM Press, 497-503.
13. Koza, J. R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA, MIT Press..
14. Koza, J. R. (1994). Genetic Programming II: Automatic Discovery of Reusable Subprograms. Cambridge: MA, MIT Press.
15. Langdon, W. B. Terry Soule, Riccardo Poli and James A. Foster (1999) The Evolution of Size and Shape. In Lee Spector, William B. Langdon, Una-May O'Reilly and Peter J. Angeline (eds.) Advances in Genetic Programming, Volume 3. MIT Press, 163-190.
16. Popper, K. R. (1969) Conjectures and Refutations, London : Routledge & Kegan Paul,
17. Stanley, K.O. and Miikkulainen, R. (2004) Competitive Coevolution through Evolutionary Complexification, Journal of Artificial Intelligence Research, 21:63-100. http://www.jair.org/abstracts/stanley04a.html
18. Teller, A. (1994) The Evolution of Mental Models. In Kenneth E. Kinnear, Jr. (ed.) Advances in Genetic Programming. MIT Press, 199-220.
19. Teller, A. (1996) Evolving Programmers: The Co-evolution of Intelligent Recombination Operators. In Peter J. Angeline and Kenneth E. Kinnear, Jr. (eds.) Advances in Genetic Programming , Volume 2. MIT Press, 45-68.
20. Turing, A.. M. (1936) On computable numbers, with an application to the Entscheidungsproblem. Proc. Lond. Math. Soc. 42:230-65; 43:544-6.
21. rd International Workshop on Engineering Societies in the Agents World, Madrid, Spain. http://www.ai.univie.ac.at/~paolo/conf/ESAW02/