The harmonic decision matrix: a subtle model of the natural neuron

Author

Bagot, Benoit C.

Author_Institution

ZF Getriebe GmbH, Friedrichshafen, Germany

Volume

2

fYear

2005

fDate

2-5 Sept. 2005

Firstpage

1539

Abstract

The definition of the right goal constitutes an essential part in evolutionary algorithms. The best EA is no use if the defined and calculated purpose does not correspond to a real need. Human needs are generally complex. That is the reason why users of EAs should be interested in utility theory and psychological mechanisms, up to the core of the single neuron. In this paper we show that the harmonic decision matrix opens a new way to model human decisions and basically, neuronal computation, that goes beyond the weighted sum and the polynomials.

Keywords

decision making; evolutionary computation; fuzzy logic; neural nets; psychology; utility theory; convexity; decision making; evolutionary algorithm; fuzzy logic; harmonic decision matrix; human decision; human needs; multiobjective optimization; natural neuron; neural nets; neuronal computation; psychological mechanism; utility function; utility theory; Decision making; Evolutionary computation; Fuzzy logic; Humans; Neural networks; Neurons; Polynomials; Psychology; Robustness; Utility theory; Multiobjective Optimization; convexity; decision making.; fuzzy logic; model of the natural neuron; neural nets; utility function;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2005. The 2005 IEEE Congress on

Print_ISBN

0-7803-9363-5

Type

conf

DOI

10.1109/CEC.2005.1554872

Filename

1554872