A Reputation System for Artificial Societies
One approach to achieving artificial general intelligence (AGI) is through the emergence of complex structures and dynamic properties arising from decentralized networks of interacting artificial intelligence (AI) agents. Understanding the principles of consensus in societies and finding ways to make consensus more reliable becomes critically important as connectivity and interaction speed increase in modern distributed systems of hybrid collective intelligences, which include both humans and computer systems. We propose a new form of reputation-based consensus with greater resistance to reputation gaming than current systems have. We discuss options for its implementation, and provide initial practical results.
Code (1)
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Linguistic Convergence in Societies with Asymmetrically Distributed Reputation
Cooperation and Reputation Dynamics with Reinforcement Learning
Creating incentives for cooperation is a challenge in natural and artificial systems. One potential answer is reputation, whereby agents trade the immediate cost of cooperation for the future benefits of having a good re…
Q-Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)Aligning Artificial Superintelligence via a Multi-Box Protocol
We propose a novel protocol for aligning artificial superintelligence (ASI) based on mutual verification among multiple isolated systems that self-modify to achieve alignment. The protocol operates by containing multiple…
Evolutionary stability of cooperation by the leading eight norms in indirect reciprocity under noisy and private assessment
Indirect reciprocity is a mechanism that explains large-scale cooperation in human societies. In indirect reciprocity, an individual chooses whether or not to cooperate with another based on reputation information, and o…
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
Solving the problem of cooperation is fundamentally important for the creation and maintenance of functional societies. Problems of cooperation are omnipresent within human society, with examples ranging from navigating …
Multi-agent Reinforcement LearningNavigate