Computational Curiosity (A Book Draft)
Qiong Wu

TL;DR
This book explores the concept of computational curiosity, reviewing psychological foundations, proposing a new generic model, and demonstrating its applications in machine learning, recommender systems, and educational agents.
Contribution
It introduces a novel generic computational model of curiosity based on arousal theories and applies it across various AI and educational systems.
Findings
A new generic computational curiosity model is proposed.
The model enhances machine learning and recommender systems.
Applications improve virtual learning environments and user engagement.
Abstract
This book discusses computational curiosity, from the psychology of curiosity to the computational models of curiosity, and then showcases several interesting applications of computational curiosity. A brief overview of the book is given as follows. Chapter 1 discusses the underpinnings of curiosity in human beings, including the major categories of curiosity, curiosity-related emotions and behaviors, and the benefits of curiosity. Chapter 2 reviews the arousal theories of curiosity in psychology and summarizes a general two-step process model for computational curiosity. Base on the perspective of the two-step process model, Chapter 3 reviews and analyzes some of the traditional computational models of curiosity. Chapter 4 introduces a novel generic computational model of curiosity, which is developed based on the arousal theories of curiosity. After the discussion of computational…
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Taxonomy
TopicsReinforcement Learning in Robotics · Psychological and Educational Research Studies · Advanced Bandit Algorithms Research
