Sarkadi, Stefan, Rutherford, Alex, McBurney, Peter , Parsons, Simon and Rahwan, Iyad (2021) The Evolution of Deception. Royal Society Open Science, 8 (9). ISSN 2054-5703
Full content URL: https://doi.org/10.1098/rsos.201032
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The_Evolution_of_Deception__RSOS_upload_Copy_.pdf - Whole Document Available under License Creative Commons Attribution 4.0 International. 1MB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
Deception plays a critical role in the dissemination of information, and has important consequences on the functioning of cultural, market-based and democratic institutions. Deception has been widely studied within the fields of philosophy, psychology, economics and political science. Yet, we still lack an understanding of how deception emerges in a society under competitive (evolutionary) pressures. This paper begins to fill this gap by bridging evolutionary models of social good--public goods games (PGGs)--with ideas from Interpersonal Deception Theory and Truth-Default Theory. This provides a well-founded analysis of the growth of deception in societies and the effectiveness of several approaches to reducing deception. Assuming that knowledge is a public good, we use extensive simulation studies to explore (i) how deception impacts the sharing and dissemination of knowledge in societies over time, (ii) how different types of knowledge sharing societies are affected by deception, and (iii) what type of policing and regulation is needed to reduce the negative effects of deception in knowledge sharing. Our results indicate that cooperation in knowledge sharing can be re-established in systems by introducing institutions that investigate and regulate both defection and deception using a decentralised case-by-case strategy. This provides evidence for the adoption of methods for reducing the use of deception in the world around us in order to avoid a Tragedy of The Digital Commons.
Keywords: | Deception, Misinformation, Knowledge sharing, Public goods games, Microeconomics, Multi-agent systems, Tragedy of the digital commons |
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Subjects: | G Mathematical and Computer Sciences > G700 Artificial Intelligence |
Divisions: | College of Science > School of Computer Science |
ID Code: | 46543 |
Deposited On: | 06 Oct 2021 08:59 |
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