Eur. Phys. J. B 48, 575-581 (2005)
https://doi.org/10.1140/epjb/e2006-00010-8

Evolutionary model with intelligence and knowledge

¹ Department of Applied Physics, Dalian University of Technology, Dalian, P.R. China
² Institute of University Students' Innovation, Dalian University of Technology, Dalian, P.R. China
³ Department of Applied Mathematics, Dalian University of Technology, Dalian, P.R. China

Corresponding author: ^a mfhe@dlut.edu.cn

Received: 25 June 2005
Revised: 30 October 2005
Published online: 19 January 2006

Abstract

An evolutionary model based on Bit-String with intelligence and learning is constructed. Each individual is represented by five bit strings. Four of them relate to genes and the other denotes the knowledge from learning. The four strings relative to genes will be divided into two parts — Bit-String A and Bit-String B. Bit-String A denotes the health of an individual, at the same time Bit-String B can describe intelligence. For an individual, the cross reproduction method is used in this model. After that we explain how knowledge is represented in our model. The probability of learning is affected by intelligence. In order to study how the accumulated knowledge influences the survival process by the effect of food and space restrictions, we modify the Verhulst factor. Then, we present the results of our simulations and discuss the evolution of population, intelligence and knowledge respectively. In addition, an equation to calculate the intelligence quotient is given based on intelligence and knowledge. We discuss the distribution of intelligence quotient.