Cooperative bots exhibit nuanced effects on cooperation across strategic frameworks
Zehua Si, Zhixue He, Chen Shen, and Jun Tanimoto

TL;DR
This study explores how cooperative bots influence human cooperation across various strategic frameworks, revealing their effects depend on population structure and imitation strength, with nuanced impacts in continuous, mixed, and discrete strategies.
Contribution
It extends analysis of cooperative bots to continuous and mixed strategies, showing their varied effects on cooperation in structured and well-mixed populations.
Findings
Cooperative bots enhance cooperation under weak imitation.
They disrupt cooperation in structured populations with discrete and continuous strategies.
They facilitate cooperation with mixed strategies in structured populations.
Abstract
The positive impact of cooperative bots on cooperation within evolutionary game theory is well documented; however, existing studies have predominantly used discrete strategic frameworks, focusing on deterministic actions with a fixed probability of one. This paper extends the investigation to continuous and mixed strategic approaches. Continuous strategies employ intermediate probabilities to convey varying degrees of cooperation and focus on expected payoffs. In contrast, mixed strategies calculate immediate payoffs from actions chosen at a given moment within these probabilities. Using the prisoner's dilemma game, this study examines the effects of cooperative bots on human cooperation within hybrid populations of human players and simple bots, across both well-mixed and structured populations. Our findings reveal that cooperative bots significantly enhance cooperation in both…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Blockchain Technology Applications and Security · AI in Service Interactions
