Applications of artificial intelligence and cognitive science techniques in banking

Philippe Lenca (1)

1 IASC - Dépt. Intelligence Artificielle et Systèmes Cognitifs

In this paper we propose to develop some cognitive science techniques which could be useful for several domains of banking. One of our main topics will be decision support systems and knowledge-based decision support systems. Thus we have to consider the knowledge acquisition stage which is known as the bottleneck in the construction of these systems. We will present a model for learning strategies established by a decision maker for a feature task of categorical judgment of objects described by several attributes. It has been improved for several domains and we will show an application to understand how individuals categorize savings plans. This knowledge will be useful for the bank consultant to be able to advise exactly what his/her clientele wants to have. To finish, some applications in the credit field, training systems, and portfolio management are briefly discussed.

Mots clés: Decision maker; Decision support system; Knowledge acquisition; Portfolio management; Categorical Judgment; Machine learning; Cognitive modeling; Cognitive modelling

Domaines: Algorithme et structure de données [cs.DS]; Ingénierie, finance et science [cs.CE]; Intelligence artificielle [cs.AI]; Ordinateur et société [cs.CY]; Machine Learning [stat.ML]

Philippe Lenca. Applications of artificial intelligence and cognitive science techniques in banking. Artificial Intelligence in Economics and Managment. An Edited Proceedings on the Fourth International Workshop (Ed: Phillip Eindor), Springer, pp.77 - 90, 1996, 978-0792397618. ⟨10.1007/978-1-4613-1427-1_6⟩. ⟨hal-01896280⟩