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Emotional Strategies as Catalysts for Cooperation in Signed Networks

Righi, S; Takacs, K; (2014) Emotional Strategies as Catalysts for Cooperation in Signed Networks. Advances in Complex Systems , 17 (2) , Article 1450011. 10.1142/S0219525914500118. Green open access

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Abstract

The evolution of unconditional cooperation is one of the fundamental problems in science. A new solution is proposed to solve this puzzle. We treat this issue with an evolutionary model in which agents play the Prisoner's Dilemma on signed networks. The topology is allowed to co-evolve with relational signs as well as with agent strategies. We introduce a strategy that is conditional on the emotional content embedded in network signs. We show that this strategy acts as a catalyst and creates favorable conditions for the spread of unconditional cooperation. In line with the literature, we found evidence that the evolution of cooperation most likely occurs in networks with relatively high chances of rewiring and with low likelihood of strategy adoption. While a low likelihood of rewiring enhances cooperation, a very high likelihood seems to limit its diffusion. Furthermore, unlike in nonsigned networks, cooperation becomes more prevalent in denser topologies.

Type: Article
Title: Emotional Strategies as Catalysts for Cooperation in Signed Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1142/S0219525914500118
Publisher version: https://doi.org/10.1142/S0219525914500118
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Evolution of cooperation; signed graphs; network dynamics; negative ties; agent-based models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10058469
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