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The prisoner's dilemma with image scoring on networks: How does a player's strategy depend on its place in the social network?

Record type: Conference or Workshop Item (Paper)

We investigate the evolution of cooperation in the prisoner's dilemma on different types of interaction networks. Agents interact with their network neighbours. An agent is classified by a value S is an element of [-1, 1] denoting its strategy and by its image score. It will cooperate if the opponents relative image score is above S and defect otherwise. Agents spread their strategies to their network neighbours proportionally to payoff differences. We find that network topology strongly influences the average cooperation rate; networks with low degree variance allowing for the largest amount of cooperation. In heterogeneous networks an agents place in the network strongly influences its strategy. Thus, agents on hub nodes are found to 'police' the population, while being on low degree nodes tends to favour over-generous less discriminating strategies.

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Citation

Brede, Markus (2007) The prisoner's dilemma with image scoring on networks: How does a player's strategy depend on its place in the social network? At 3rd Australian Conference on Artificial Life, Australia. 04 - 06 Dec 2007. , pp. 222-231.

More information

Published date: 2007
Additional Information: Event Dates: DEC 04-06, 2007
Venue - Dates: 3rd Australian Conference on Artificial Life, Australia, 2007-12-04 - 2007-12-06
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 272887
URI: http://eprints.soton.ac.uk/id/eprint/272887
ISBN: 978-3-540-76930-9
PURE UUID: 6564a881-9f02-419f-9603-7b44254a898d

Catalogue record

Date deposited: 29 Sep 2011 16:19
Last modified: 18 Jul 2017 06:19

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