Jung-Chun Liu 劉容均

Outline of the Book

This book comprises ten chapters. Chpater 1 discusses the definitions of concepts like life and intelligence, establishing the scope of the book. Chapter 2 focuses on mental representations, encompassing semiotics, connectionism, and how humans use these representations to solve problems. It also explores computer science models that utilize these representations. Chapter 3 approaches from an evolutionary perspective, examining how the evolutionary mechanisms of populations manifest intelligence. This chapter introduces the book's core concept: swarm intelligence. Connectionism in populations is exhibited through individual connections, with human social interactions being a key indicator of human intelligence. In computer science, the wisdom of nature is borrowed to develop various swarm algorithms.

Chapter 5 delves into the theoretical developments and research in social psychology, including social learning theory and theories of social influence. It discusses how beliefs and ideas are propagated in groups and cultures and how mathematical models can describe changes in individual behavior and group states. Chapter 6 introduces Axelrod's model of cultural dissemination. Past scholars used this model for a series of experiments, and this chapter interprets these results from a psychological perspective. Chapters 4, 7 to 10 primarily focus on evolutionary computing, including genetic algorithms and particle swarm optimization, which are more computer science-oriented. Hence, they are not elaborated upon in this report.

Next: Chapter 1: What is the Mind? What is Randomness?

Prev: Introduction