Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution

TL;DR

This paper proposes Incentivized Symbiosis, a blockchain-based social contract framework inspired by Web3 principles, to promote cooperation and coevolution between humans and AI agents through enforceable rules and incentives.

Contribution

It introduces a novel paradigm combining blockchain technology, Web3 principles, and evolutionary game theory to foster human-AI cooperation.

Findings

Conceptual framework for human-AI cooperation using blockchain

Integration of Web3 principles into AI social contracts

Potential for new research in human-agent coevolution

Abstract

Cooperation is vital to our survival and progress. Evolutionary game theory offers a lens to understand the structures and incentives that enable cooperation to be a successful strategy. As artificial intelligence agents become integral to human systems, the dynamics of cooperation take on unprecedented significance. The convergence of human-agent teaming, contract theory, and decentralized frameworks like Web3, grounded in transparency, accountability, and trust, offers a foundation for fostering cooperation by establishing enforceable rules and incentives for humans and AI agents. We conceptualize Incentivized Symbiosis as a social contract between humans and AI, inspired by Web3 principles and encoded in blockchain technology, to define and enforce rules, incentives, and consequences for both parties. By exploring this paradigm, we aim to catalyze new research at the intersection of systems thinking in AI, Web3, and society, fostering innovative pathways for cooperative human-agent coevolution.