A Modern Approach To Introductory Artificial Intelligence.pdf

A Modern Approach" textbook aims to address perceived issues with existing AI texts by presenting the field in a unified, agent-oriented manner. Key aspects of their approach include:

1. Unified Presentation: The book interprets past research within a common framework, emphasizing similarities rather than differences, and omits superseded work. It also regularizes notation to highlight connections between different AI subfields.

2. Relations to Previous Experience: The authors emphasize connections between AI and other computer science areas, as well as mathematics, linguistics, psychology, and philosophy. They relate AI concepts to students' existing knowledge, using examples like parsing algorithms and statistical estimation.

3. Intelligent Agent Design: The book's unifying theme is the concept of an intelligent agent, which receives percepts from the environment and performs actions. It covers various ways to represent agent functions, such as production systems and decision-theoretic systems, and discusses the role of knowledge and learning in agent design.

4. Understanding through Implementation: The book clarifies principles of intelligent agent design by having students build agents and implement them in various environments, gradually adding capabilities to the agent.

5. Comparison with Other AI Definitions: The authors suggest that studying action is more general than studying thinking, and studying rational agents is more appropriate for their audience than studying humans. They present two key dimensions on which definitions of AI vary: studying thinking vs. action, and emulating human behavior vs. striving for ideal behavior.