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...

Rational actor game theoretic models have had a longstanding challenge trying to explain voter turnout in the mass electorate. We analyze how partial turnout can be addressed and predicted by mechanisms in evolutionary game theory. We present two models at opposite ends of the spectrum of possible evolutionary models and show realistic partial voter turnout can be generated by either. The first...

In this paper we study language use and language organisation by making use of Lewisean signalling games. Standard game theoretical approaches are contrasted with evolutionary ones to analyze conventional meaning and conversational interpretation strategies. It is argued that analyzing successful communication in terms of standard game theory requires agents to be very rational and fully inform...

acidity and k the cost of a glycolytic metabolism. The proportion of invasive cells increase as we increase the cost of living in an acid environment and decrease the cost of glycolysis, factors that should ease the emergent of glycolytic cells. Abstract— Cancers arise from genetic abberations but also consistently display high levels of intra-tumor heterogeneity and evolve according to Darwini...

cooperation is the foundation of many protocols in wireless networks. without cooperation, the performance of a network significantly decreases. hence, all nodes in traditional networks are required to cooperate with each other. in this paper, instead of traditional networks, a network of rational and autonomous nodes is considered, which means that each node itself can decide whether to cooper...

Different mutation operators have been proposed in evolutionary programming. A mixture of various mutation operators may be more efficient than a single one. This paper presents a game-theoretic approach for designing evolutio nary programming with a mixed mutation strategy. The approach is applied to design a mixed strategy using Gaussian and Cauchy mutations. The experimental results show the...

The article gives a brief overview over the budding field of game theoretic linguistics, by focusing on game theoretic pragmatics on the one hand, and the usage of evolutionary game theory to model cultural language evolution on the other hand. Two specific applications are discussed in detail: the derivation of scalar implicatures via rational reasoning over communicative strategies, and the p...