Distributed Artificial Intelligence: Fundamentals and Applications
Kuhusu kitabu pepe hiki
Research in the area of artificial intelligence known as Distributed Artificial Intelligence (DAI), which is often referred to as Decentralized Artificial Intelligence, is a subfield that focuses on the creation of distributed solutions for various types of challenges. The field of multi-agent systems is closely related to and was actually preceded by the discipline of DAI.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Distributed Artificial Intelligence
Chapter 2: Artificial Intelligence
Chapter 3: List of Artificial Intelligence Projects
Chapter 4: Software Agent
Chapter 5: Cooperative Distributed Problem Solving
Chapter 6: Multi-Agent System
Chapter 7: Swarm Robotics
Chapter 8: Blackboard System
Chapter 9: Belief–Desire–Intention Software Model
Chapter 10: Multi-Agent Planning
(II) Answering the public top questions about distributed artificial intelligence.
(III) Real world examples for the usage of distributed artificial intelligence in many fields.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of distributed artificial intelligence.
