How to obtain appropriate executive decisions using artificial immunologic systems

Authors:
Bernardo Caldas;Marcelo Pita;Fernando Buarque
Affiliations:
Department of Computing Systems, Polytechnic School of Engineering, University of Pernambuco, Recife, Pernambuco, Brazil;Department of Computing Systems, Polytechnic School of Engineering, University of Pernambuco, Recife, Pernambuco, Brazil;Department of Computing Systems, Polytechnic School of Engineering, University of Pernambuco, Recife, Pernambuco, Brazil
Venue:
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Year:
2007

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Abstract

This paper presents a new selection algorithm based on artificial immunologic systems (AIS) and decision theory. The objective of the algorithm it to increase the performance of executive decisions by identifying more carefully what can be considered an appropriate executive decision to a given specific context. The main idea is to mimic the immunologic system, specifically the self & non-self detection mechanism. According to our proposition, 'decision cells' (analogous to immune-cells) are responsible for selection of the appropriate executive decisions. In this paper we present the motivation, theoretical approach (i.e. the analogy between biological and business models), the proposed algorithm and some simulated experiments aiming at real situations.