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Logic, Reasoning and A Programming Language for Simulating Economic and Business Processes with Artificially Intelligent Agents

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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. Some methodological issues arising from this are also discussed.

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  • Bruce Edmonds & Scott Moss & Steve Wallis, 1996. "Logic, Reasoning and A Programming Language for Simulating Economic and Business Processes with Artificially Intelligent Agents," Discussion Papers 009, Manchester Metropolitan University, Centre for Policy Modelling.
    • Handle: RePEc:wuk:mcpmdp:009
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    File URL: http://www.fmb.mmu.ac.uk/~bruce/logreas/logreas.ps.Z
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    Cited by:

    1. Bruce Edmonds, 1997. "Gossip, Sexual Recombination and the El Farol Bar: modelling the emergence of heterogeneity," Discussion Papers 97-31, Manchester Metropolitan University, Centre for Policy Modelling.
    2. Scott Moss & Bruce Edmonds & Steve Wallis, 1997. "Validation and Verification of Computational Models with Multiple Cognitive Agents," Discussion Papers 97-25, Manchester Metropolitan University, Centre for Policy Modelling.
    3. Ziervogel, Gina & Bithell, Mike & Washington, Richard & Downing, Tom, 2005. "Agent-based social simulation: a method for assessing the impact of seasonal climate forecast applications among smallholder farmers," Agricultural Systems, Elsevier, vol. 83(1), pages 1-26, January.
    4. Scott Moss, 1997. "Boundedly versus Procedurally Rational Expectations," Discussion Papers 97-30, Manchester Metropolitan University, Centre for Policy Modelling.

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