Abstract
The merits of modelling within a logical, as opposed to Bayesian, framework is discussed. It is claimed that a logical formalism is more appropriate for modelling qualitative decisions and that this framework makes the unfolding of process more apparent. This difference in approach leads to adopting a declarative programming rather than imperative paradigm. This approach also enables the credible modelling of agents with limited information processing capacities. An agent orientated and strictly declarative computer modelling language is presented called SDML which has been specifically developed to support such a style of modelling.
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
Axtell, R.L. and J.M. Epstein, “Agent-based Modelling: Understanding our Creations,” The Bulletin of the Santa Fe Institute 9 (1994):28–32.
Cohen, P.R., Heuristic Reasoning Under Uncertainty, London: Pitman (1985).
Edmonds, B. and S. Moss, “The Credible Modelling of Economic Agents with Limited Rationality,” in P. Ein-Dor (ed.) Proceedings of The Fourth International Workshop on Artificial Intelligence in Economics and Management, Amsterdam: Kluwer (1996).
Fox, J., D. Clark, A. Glowinski and M. O’Neil, “Using Predicate Logic to Integrate Qualitative Reasoning and Classical Decision Theory,” IEEE Transactions on Systems, Man and Cybernetics 20, 2 (1990):347–357.
Konolige, K., “Autoepistemic Logic,” in D.M. Gabbay, C.J. Hogger and J.A. Robinson (eds.) Handbook of Logic in Artificial Intelligence and Logic Programming. Vol 3. Oxford, Clarendon Press (1992):217–295.
Masuch, M. and Z. Huang, “A Logical Deconstruction of Organizational Action: Formalizing J.D. Thompson’s Organisations in Action in a Multi-Agent Action Logic,” CCSOM Working Paper 94-120, Department of Statistics and Methodology, University of Amsterdam. (1994).
Wallis, S. and S. Moss, S., “Efficient Forward Chaining for Declarative Rules in a Multi-Agent Modelling Language,” Centre for Policy Modelling Discussion paper CPM-4. Available electronically at http://www.fmb.mmu.ac.uk/cpm/cpmrep04.html. (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Kluwer Academic Publishers
About this chapter
Cite this chapter
Edmonds, B., Moss, S., Wallis, S. (1996). Logic, Reasoning and a Programming Language for Simulating Economic and Business Processes with Artificially Intelligent Agents. In: Ein-Dor, P. (eds) Artificial Intelligence in Economics and Managment. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1427-1_15
Download citation
DOI: https://doi.org/10.1007/978-1-4613-1427-1_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8620-2
Online ISBN: 978-1-4613-1427-1
eBook Packages: Springer Book Archive