Essentials Of Artificial Intelligence Agent Behaviour
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Essentials of Artificial Intelligence Agent Behaviour
Thought-provoking and accessible in approach, this updated and expanded second edition of the Essentials of Artificial Intelligence Agent Behaviour provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Science & Management Press of London
Fundamentals of Artificial Intelligence Agent Behaviour
Fundamentals of Artificial Intelligence Agent Behaviour is one of the series of books covering various topics of science, technology and management published by London School of Management Studies. The book will cover the introduction to the Topic and can be used as a very useful course study material for students pursuing their studies in undergraduate and graduate levels in universities and colleges and those who want to learn the topic in brief via a short and complete resource. We hope you find this book useful is shaping your future career, Please send us your enquiries related to our publications to [email protected] London School of Management Studies www.lsms.org.uk
Basics Of Artificial Intelligence : Concepts And Applications
Author: Dr. A. Obulesh
language: en
Publisher: AG PUBLISHING HOUSE (AGPH Books)
Release Date: 2022-09-14
The goal of Artificial Intelligence (AI) is to give machines (such as computers, robots controlled by computers, and software) the ability to think intelligently, as people do. The goal of artificial intelligence (AI) is to create smart software and systems by modelling human cognitive processes including learning, decision-making, and problem-solving. This book examines the development of artificial intelligence and the ways in which it has interacted with other academic fields including philosophy, psychology, and neuroscience. It also addresses some of the difficulties researchers have encountered in trying to develop intelligent computer systems. It also focuses on planning problems and learning problems that involve sensorimotor skills or language understanding systems that learn from examples or experience respectively; it provides an overview of different approaches to solving these problems using machine learning techniques such as neural networks or evolutionary algorithms etcetera; it also discusses some important applications like medical diagnosis based on medical records etcetera; lastly it presents some recent advances in this area like deep learning algorithms that were developed over past few years with great success due to their ability.