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Computational Intelligence Foundations and Principles

Computational Intelligence Foundations and Principles
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Author(s): Murugan Sethuraman Sethuraman (Wolkite University Ethiopia, India)
Copyright: 2017
Pages: 24
Source title: Recent Advances in Applied Thermal Imaging for Industrial Applications
Source Author(s)/Editor(s): V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2423-6.ch003

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Abstract

AI has been defined in different ways, including the abilities for abstract thought, understanding, communication, reasoning, learning, retaining, planning, and solving. Intelligence is most widely studied in humans, but has also been observed in animals and plants. AI is the intelligence of machines or the simulation of intelligence in machines. AI is both the intelligence of machines and the branch of Computer Science which aims to create it, through the study and design of intelligent agents or rational agents, where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. Achievements include constrained and well-defined problems such as games, crossword-solving and optical character recognition. Among the traits that researchers hope machines will exhibit are reasoning, knowledge, planning, learning, communication, perception, and the ability to move and manipulate objects. In the field of AI there is no consensus on how closely the brain should be simulated.

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