Page of

James A R Marshall

Current Position

Lecturer, University of Bristol

Educational Background

De Montfort University, Artificial Life, Ph.D., 2002

University of Exeter, Computer Science, B.S., 1997

Webpages:

http://www.cs.bris.ac.uk/home/marshall

http://www.cs.bris.ac.uk/home/sisebia

Keywords:

Artificial Life

Theoretical biology

Complex Adaptive Systems

Individual-Based Simulation

Evolutionary Computation

Statement of Interests:

I am currently working on modelling the evolution of behaviour in social insects, and designing algorithms for control and optimisation that are inspired by these behaviours. Previously I worked on biological modelling for my PhD, studying the evolution of cooperation.

Agenda/Plans:

I am interested in expanding my work on biological modelling. I am also interested in modelling the kind of Complex Adaptive Systems that affect our own society and others‘, e.g. international economics including the WTO and IMF.

(Search found 6 references)

Marshall, James A R. 2002. An Investigation into Kin Selection and Reciprocal Cooperation in a Viscous Population. De Montfort University, The Gateway, Leicester LE1 9BH, UK.

Marshall, James A R; Kovacs, Tim; Dornhaus, Anna R; Franks, Nigel R. 2003.Simulating the Evolution of Ant Behaviour in Assessing Nest Sites. In To appear in ECAL 2003: Lecture Notes in Computer Science, -, ed. Heidelberg: Springer Verlag, .

Marshall, James A R; Rowe, Jonathan E. 2000.Investigating the Mechanisms Underlying Kin Selection and Reciprocal Cooperation in Viscous Population Multi-Agent Systems. In Artificial Life VII: Proceedings of the Seventh International Conference, Bedau, Mark A; McCaskill, John S; Packard, Norman H; Rasmussen, S, ed. Cambridge, MA: MIT Press, 348-352.
URL: http://www.ese.ic.ac.uk/userfiles/PDF/p520_MarshallRowe2000.pdf

Marshall, James A R; Rowe, Jonathan E. 2003. Kin Selection May Inhibit the Evolution of Reciprocation. Journal of Theoretical Biology 222(3): 331-335.

Marshall, James A R; Rowe, Jonathan E. 2003. Viscous Populations and their Support for Reciprocal Cooperation. Artificial Life 9(3): 327-334.

Sinha-Ray, Proshun; Carter, Jonathan N; Field, Tony; Marshall, James A R; Polak, John; Schumacher, Kimberly; Song, Dongping; Woods, John D; Zhang, Jie. 2003.Container World: Global Agent-Based Modelling of the Container Transport Business. In Proceedings of the 4th Workshop on Agent-Based Simulation, Jean-Pierre Muller & Martina-M. Siedel, ed. Montpellier: SCS Europe BVBA, 161-165.

This page was created on 2004-09-27;