Logo

Artificial Intelligence - Agents and Environments

Small book cover: Artificial Intelligence - Agents and Environments

Artificial Intelligence - Agents and Environments
by

Publisher: BookBoon
ISBN-13: 9788776815288
Number of pages: 154

Description:
This book is the first in a series on Artificial Intelligence. It provides an introduction to the topic with an emphasis on the use of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment. It also provides an introduction to programming in NetLogo.

Home page url

Download or read it online for free here:
Download link
(8.6MB, PDF)

Similar books

Book cover: Encyclopedia of Computational IntelligenceEncyclopedia of Computational Intelligence
by - Scholarpedia
Encyclopedia of Computational Intelligence covers neural networks, evolutionary computation, robotics, machine learning and pattern recognition, graphs and complexity, artificial intelligence, information theory, fuzzy systems, signal analysis, etc.
(17648 views)
Book cover: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical FoundationsMultiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
by - Cambridge University Press
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
(17059 views)
Book cover: Artificial Intelligence and Molecular BiologyArtificial Intelligence and Molecular Biology
by - AAAI Press
A current sampling of AI approaches to problems of biological significance. The text covers genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems.
(20290 views)
Book cover: Ethical Artificial IntelligenceEthical Artificial Intelligence
by - arXiv
This book analyzes the issues of ethical artificial intelligence. The behavior of future AI systems can be described by mathematical equations, which are adapted to analyze possible unintended AI behaviors and ways that AI designs can avoid them.
(12018 views)