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Artificial Intelligence and Financial Services
June 1991 (vol. 3 no. 2)
pp. 137-148

The author surveys key requirements and specific design techniques for artificial intelligence (AI) applications in the financial services industry. After discussing some of the fundamental challenges which the financial services industry presents for decision technology, the motivations for the use of AI are related to a number of typical applications, which are broadly categorized into suitable development and delivery environments and generic domain utilities required from shells or customized systems for that industry. Markets and trades are then shown to be well described in terms of knowledge representation and data structures, by object-oriented features embedded into logic programming environments. Conflict resolution strategies, preference aggregation and revealed beliefs are studied. A formal analysis of investment decision criteria is given. An example from currency risk management exemplifies this area. Intelligent information screens are presented to stress the need for knowledge-based techniques in financial information retrieval.

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Index Terms:
conflict resolution strategies; financial services; specific design techniques; artificial intelligence; decision technology; delivery environments; generic domain utilities; customized systems; knowledge representation; data structures; object-oriented features; logic programming environments; preference aggregation; revealed beliefs; formal analysis; investment decision criteria; currency risk management; knowledge-based techniques; financial information retrieval; data structures; decision support systems; financial data processing; knowledge based systems; knowledge representation
Citation:
L.F. Pau, "Artificial Intelligence and Financial Services," IEEE Transactions on Knowledge and Data Engineering, vol. 3, no. 2, pp. 137-148, June 1991, doi:10.1109/69.87994
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