In existing systems of mobile routers, the frequency band is shared in uplinks from wireless terminals to mobile routers, and carrier sense multiple access with collision avoidance (CSMA/CA) is generally used as the medium access control protocol. To use the frequency band effectively, adaptive control is one promising approach. In this paper, a decentralized access control protocol in which mo...

The extension of the concept of Evolutionary Stable Strategy (ESS) to quantum domain is investigated. For the pair-wise game of Prisoner's Dilemma played in a population it is shown that a two-parameter quantum strategy can invade a classical ESS. However in this game a quantum ESS cannot be invaded by another two parameter quantum strategy. Game theory has been successfully applied in mod-elin...

The Artificial Intelligence research field since ages has incorporated a series of novel and trend setting distinct approaches including neural networks, fuzzy logic and genetic algorithms to apply them to various problem-solving domains. Machine learning techniques such as evolutionary learning, neural networks and reinforcement learning alone are difficult to apply to board games because they...

In this paper, we investigate training artificial neural networks to ride simulated motorbikes in a new computer game using two different training techniques, Evolutionary Algorithms and the Backpropagation Algorithm. We show that the backpropagation algorithm creates a rider which is faster than that created by the evolutionary algorithm but at the price of requiring a training set created by ...

In this paper an approach based on evolutionary algorithms to find Pareto optimal pair of state and control for multi-objective optimal control problems (MOOCP)'s is introduced‎. ‎In this approach‎, ‎first a discretized form of the time-control space is considered and then‎, ‎a piecewise linear control and a piecewise linear trajectory are obtained from the discretized time-control space using ...

Genetic algorithm is a stochastic parallel beam search that can be applied to many typical search problems. This paper describes a genetic algorithmic approach to a problem in artificial intelligence. During the process of evolution, the environment cooperates with the population by continuously making itself friendlier so as to lower the evolutionary pressure. Evaluations show the performance ...

In this paper we present an unsupervised approach to word sense disambiguation based on evolutionary game theory. In our algorithm each word to be disambiguated is represented as a node on a graph and each sense as a class. The algorithm performs a consistent class assignment of senses according to the similarity information of each word with the others, so that similar words are constrained to...

A Study on the Mutation Rates of a Genetic Algorithm Interacting with a Sandpile p. 32 On the Design of Boolean Network Robots p. 43 EvoGames Contributions Multiple Tree for Partially Observable Monte-Carlo Tree Search p. 53 Evolving Interesting Maps for a First Person Shooter p. 63 Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo p. 73 Nested Look-Ahead Evolutionary Algorithm Bas...