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A Self Adaptive Strategy for Evolution of Cooperation in Distributed Networks
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A Self - Adaptive Strategy for Evolution of Cooperation in Distributed Networks

Category : Networking Project


Sub Category : DOTNET


Project Code : ITDNW03


Project Abstract

A SELF-ADAPTIVE STRATEGY FOR EVOLUTION OF

COOPERATION IN DISTRIBUTED NETWORKS

ABSTRACT

A self-adaptive strategy is proposed for the evolution of cooperation in distributed networks, which can utilize the strengths and avoid the limitations of existing strategies. We have a theoretical finding about the final proportion of cooperators, evolved by any pure strategies, in four types of a game. This finding is independent of the initial proportion of cooperators, the topology of the network and the specific game. In this paper, we study the phenomenon of the evolution of cooperation in distributed networks by using an iterated game. An iterated game in a distributed network is a multiple round game, where in each round; a player gains a payoff by playing a game with its neighbors and updates its action based on the actions and/or payoffs of its neighbors. The interaction model between players is usually represented as a two-player, two-action Prisoner’s Dilemma game. Many researchers have developed strategies for the evolution of cooperation in distributed networks in order to enhance cooperation, to increase the proportion of cooperators.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

The existing strategies in the simultaneous PD game, and analyzed their advantages and limitations. Based on Hofmann et al.’s analysis, it can be seen that the results of the evolution of cooperation, the final proportions of cooperators, derived by different strategies depend heavily on the initial proportion of cooperators and on the network type.

Strategy IBS can increase the proportion of cooperators only when the initial proportion.

PROPOSED CONCEPT:-

The first one in the literature which uses self-adaptation in evolution of cooperation. The proposed self-adaptive strategy includes existing strategies as each player’s knowledge and enables each player in each round to autonomously select a strategy from its knowledge base to update its action and play with its neigh bourse.

It is flexible because new strategies can be added into players’ knowledge base and the strategies which already exist in players’ knowledge base can be removed if necessary.

 

EXISTING TECHNIQUE:-

Hofmann.

PROPOSED TECHNIQUE:-

Self-adaptive strategy.

TECHNIQUE DEFNITION:-

It can be seen that the results of the evolution of cooperation, the final proportions of cooperators, derived by different strategies depend heavily on the initial proportion of cooperators and on the network type.

TECHNIQUE DEFNITION:-

It has been used in evolutionary algorithms to bias the distribution towards appropriate regions of the search space maintaining sufficient diversity among individuals in order to enable further resolvability.

 

DRAWBACKS:-

In existing system dependency relationship is limit the applicability.

In Existing system find the initial proportion of the cooperators.

ADVANTAGES:-

The proposed utilize the strength and avoid the limitation.

In propose system increase the proportion of cooperators.

 
 
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