Abstract
A simple discrete mathematical model of a space, time and matter manifold, called a STaM, is described which is intended as a framework within which to study agents and multi-agent systems. In this paper we concentrate on two-dimensional Boolean STaMs, and report implemented algorithms for detecting agents within them. A specific example STaM is given, some experimental results presented, and conclusions drawn.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Angeline, P. J., Saunders, G. M., Pollack, J. B.: An Evolutionary Algorithm that Constructs Recurrent Neural Networks. IEEE Transactions on Neural Networks, Vol. 5, No. 1 (1994) 54–65
Beer, R.: On the Dynamics of Small Continuous-Time Neural Networks. Adaptive Behavior, Vol. 3, No. 4, (1995) 469–509
Doran, J. E.: Agents and MAS in STaMs. In: Foundations and Applications of Multi-Agent Systems: UKMAS 1996-2000 (ed M. d’Inverno, M. Fisher, M. Luck, C. Preist), Springer Verlag (in press).
Naber, G. L.: Spacetime and Singularities: An Introduction. Cambridge University Press, Cambridge (1988)
Price, H.: Time’s Arrow & Archimedes’ Point. Oxford University Press, Oxford and New York (1996)
Russell, S., and Norvig, P. (eds.): Artificial Intelligence: a Modern Approach. Prentice Hall (1995)
Weiss, G. (ed.): Multiagent Systems. The MIT Press, Cambridge, Mass. and London, England (1999)
Wuensche, A.: Discrete Dynamical Networks and their Attractor Basins. Complexity International, Volume 6, (online), and SFI Working Paper, 98-11-101 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Doran, J. (2002). Finding Agents in a Two-Dimensional Boolean STaM. In: O’Neill, M., Sutcliffe, R.F.E., Ryan, C., Eaton, M., Griffith, N.J.L. (eds) Artificial Intelligence and Cognitive Science. AICS 2002. Lecture Notes in Computer Science(), vol 2464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45750-X_5
Download citation
DOI: https://doi.org/10.1007/3-540-45750-X_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44184-7
Online ISBN: 978-3-540-45750-3
eBook Packages: Springer Book Archive