"Artificial Intelligence: Agents and Environments" by William John Teahan

The main approach adopted in this textbook illustrates how symbolic systems can arise out of the application of an underlying sub-symbolic approach.

Artificial Intelligence is a complex, yet intriguing, subject. If we were to use an analogy to describe the study of Artificial Intelligence, then we could perhaps liken it to a landscape, whose ever changing picture is being shaped and reshaped by man over time.

Contents
Preface
AI programming languages and NetLogo
Conventions used in this book series
Volume Overview
Acknowledgements
Dedication
1. Introduction
1.1 What is ”Artificial Intelligence”?
1.2 Paths to Artificial Intelligence
1.3 Objections to Artificial Intelligence
1.3.1 The theological objection
1.3.2 The “Heads in the Sand” objection
1.3.3 The Mathematical objection
1.3.4 The argument from consciousness
1.3.5 Arguments from various disabilities
1.3.6 Lady Lovelace’s objection
1.3.7 Argument from Continuity in the Nervous System
1.3.8 The Argument from Informality of Behaviour
1.3.9 The Argument from Extrasensory Perception
1.4 Conceptual Metaphor, Analogy and Thought Experiments
1.5 Design Principles for Autonomous Agents
1.6 Summary and Discussion
2. Agents and Environments
2.1 What is an Agent?
2.2 Agent-oriented Design Versus Object-oriented Design
2.3 A Taxonomy of Autonomous Agents
2.4 Desirable Properties of Agents
2.5 What is an Environment?
2.6 Environments as n-dimensional spaces
2.7 Virtual Environments
2.8 How can we develop and test an Artificial Intelligence system?
2.9 Summary and Discussion
3. Frameworks for Agents and Environments
3.1 Architectures and Frameworks for Agents and Environments
3.2 Standards for Agent-based Technologies
3.3 Agent-Oriented Programming Languages
3.4 Agent Directed Simulation in NetLogo
3.5 The NetLogo development environment
3.6 Agents and Environments in NetLogo
3.7 Drawing Mazes using Patch Agents in NetLogo
3.8 Summary
4. Movement
4.1 Movement and Motion
4.2 Movement of Turtle Agents in NetLogo
4.3 Behaviour and Decision-making in terms of movement
4.4 Drawing FSMs and Decision Trees using Link Agents in NetLogo
4.5 Computer Animation
4.6 Animated Mapping and Simulation
4.7 Summary
5. Embodiment
5.1 Our body and our senses
5.2 Several Features of Autonomous Agents
5.3 Adding Sensing Capabilities to Turtle Agents in NetLogo
5.4 Performing tasks reactively without cognition
5.5 Embodied, Situated Cognition
5.6 Summary and Discussion
References