Exercises for Artificial Intelligence – Agents and Environment 1st edition by William John Teahan

artificial-intelligence-exeThe list of exercises, chapter headings and section, and NetLogo models in this book closely follow what is in the companion “Artificial Intelligence – Agent Behaviour I ” book. The best way to learn about what is written in the companion book is to try out each of the NetLogo models that are described in the book and in the exercises in this book. A table listing all the models described in this book and the companion book is also provided. Each entry in the table lists the name of the model, the exercises where it is described, a short description of the model, and a URL where it can be found. Each of these models have sections in the Information tab that provide various documentation, such as: what the model is; how it works; how to use it; the meaning of each of the Interface’s buttons, sliders, switches, choosers, monitors, plots and output; important things to notice; things to try out; suggestions for extending the model; explanations of interesting NetLogo features used in the model; credits and references; and links to related models. In particular, the sections on how to use it, things to notice and things to try out provide some suggestions on various things a user can try when playing with the models.


In this book the readers will read What is Artificial Intelligence? Paths to Artificial Intelligence, Objections to Artificial Intelligence, Conceptual Metaphor, Analogy and Thought Experiments, Design Principles for Autonomous Agents, What is Agent, Agent-oriented Design Versus Object-oriented Design, A Taxonomy of Autonomous Agents, Desirable Properties of Agents, What is an Environment? Environments as n-dimensional spaces, Virtual Environments, How can we develop and test an Artificial Intelligence system? Frameworks for Agents and Environment, Architectures and Frameworks for Agents and Environments, Standards for Agent-based Technologies, Agent-Oriented Programming Languages, Agent Directed Simulation in NetLogo, The NetLogo development environment, Agents and Environments in NetLogo, Drawing Mazes using Patch Agents in NetLogo, Movement and Motion, Behaviour and Decision-making in terms of movement, Drawing FSMs and Decision Trees using Link Agents in NetLogo, Computer Animation, Our body and our senses, Several Features of Autonomous Agents, Adding Sensing Capabilities to Turtle Agents in NetLogo, Performing tasks reactively without cognition, Embodied, Situated Cognition, Solutions to Selected Exercises and much more.

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