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Intelligent, Autonomous, and Multi-Agents
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Author(s): Taye Iyinoluwa Adeyinka (University of Science and Technology, Beijing, China)and Kehinde Iyioluwa Adeyinka (University of Science and Technology, Beijing, China)
Copyright: 2025
Pages: 26
Source title:
Humans and Generative AI Tools for Collaborative Intelligence
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada), V. Vinoth Kumar (Vellore Institute of Technology, India), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and Joseph Richards (California State University, Sacramento, USA)
DOI: 10.4018/979-8-3693-8332-2.ch013
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Abstract
The era of rapid developments in artificial intelligence increased the potential of intelligent, autonomous, and multi-agent systems to collaborate on an unprecedented scale. This chapter covers the basics and applications of MAS in collaborative contexts, with a focus on generative AI tools and human-AI interaction. The chapter starts with a definition of multi-agent systems and underlines how autonomous and semi-autonomous activities boost collaborative intelligence. We further look at the very basic structures necessary to help agents operate effortlessly within dynamic environments, emphasizing frameworks that provide self-optimization, autonomy, and learning. Later, the chapter looks at real-world applications where MAS increases human capabilities and offers cooperative solutions in settings that require high levels of cooperation and adaptation. We discuss various ethical, safety, and interoperability issues arising in MAS during the investigation of these interactions, especially with generative AI tools working with human partners.
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