Since its origins, Cellular Automata (CA) has been used to model many type of physical and computational phenomena. Interacting CAs in spatial lattices combined with evolutionary game theory have been very popular for modeling genetics or behavior in biological systems. Cellular Evolutionary Algorithms (cEAs) are a kind of evolutionary algorithm (EA) with decentralized population in which inter...

The present paper reports the preliminary results of the application of an evolutionary algorithm developed to adjust artificial intelligence scripts in a real time strategy game. The evolutionary algorithm (EA) is embedded in the game engine of the Bos Wars, which is a real time strategy game coded in C++ and LUA language. The proposed algorithm is an adaptation of a similar approach introduce...

Drawing a conclusion from recent insights in evolutionary game theory, we show that a so-called spite e!ect implies that there is an essential di!erence between individual and social learning. We illustrate its consequences for the choice of computational tools in economics and social settings in general by analyzing two variants of a Genetic Algorithm. ( 2000 Elsevier Science B.V. All rights r...

This paper presents an improved co-evolution genetic algorithm (ICGA), which uses the methodology of game theory to solve the mode deception and premature convergence problem. In ICGA, groups become different players in the game. Mutation operator is designed to simulate the situation in the evolutionary stable strategy. Information transfer mode is added to ICGA to provide greater decision-mak...

Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...

In this paper, a well-known evolutionary dynamics, replicator dynamics, is used to model the dynamics of an immune network. A doubly symmetric game is associated to an immune network by this model, which implies some optimal behavior throughout time under replicator dynamics. Stability of an immune network is guaranteed by such dynamics. Two types of immune networks were modeled. In addition, a...

In this research we introduce the game theory model for efficient spectrum allocation. The proposed game theory model uses the genetic algorithm application to analyze a radio frequency and optimize the utility function (each player’s preferences). The simulations were done using MATLAB ‘gatool’. The results show that genetic algorithms have positive effect on game theory models in spectrum all...

This paper investigates the use of Genetic Algorithms (GA’s) to evolve optimal strategies to the Prisoner’s Dilemma, a classic game theory problem. The problem was heavily studied in the 1980’s, but using more advanced computing techniques, this research extends the existing body of research. My hypothesis is that populations evolve to exhibit two traits: the ability to defend against defectors...