Jung-Chun Liu 劉容均

Abstract

The term "Artificial Intelligence" was first introduced at the Dartmouth Conference in 1956. Six decades later, AI has become increasingly prevalent. However, even before this term was coined, computer scientists were already exploring related issues: How can machines learn? How can they emulate human intelligence? Meanwhile, cognitive science strives to unravel the mysteries of the human mind: How do humans think? How do beliefs and ideas form? Social psychologists elevate these questions to a group level: How do communities adapt to their environments? What impact does individual interaction have on the group? Swarm intelligence, a subset of artificial intelligence, demonstrates various mechanisms that endow it with a strong adaptive capability, akin to humans adapting through learning. This report begins with a psychological perspective, discussing the implications of the mind and communities. It then sequentially introduces computer science research and developments in swarm intelligence, highlighting similarities with psychological studies. This report compiles the research mentioned in the book and the author's own studies, elucidating how computers and models can explain and validate human cognition and the potential future developments in AI, as well as the application of psychology in the field of artificial intelligence.

Keywords: Swarm Intelligence, Connectionism, Artificial Intelligence, Machine Learning

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