Artificial Intelligence: Agents and Environments, Exercises I

This book is a series of exercises with source code and documentation

Contents
Preface
1. Introduction
1.1 What is ”Artifi cial Intelligence”?
1.2 Paths to Artifi cial Intelligence
1.3 Objections to Artifi cial Intelligence
1.4 Conceptual Metaphor, Analogy and Thought Experiments
1.5 Design Principles for Autonomous Agents
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 Artifi cial Intelligence system?
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
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
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
Solutions to Selected Exercises