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Input that is being perceived by an intelligent agent at any given moment is referred to as a percept at that moment. It is essentially the same idea as what is known as a percept in the field of psychology, with the exception that the agent, rather than the brain, is the one who is experiencing it. A percept is picked up by a sensor, which is typically a camera, then processed in the appropriate manner, and finally acted upon by an actuator. A "percept sequence" is a comprehensive history of all percepts that have ever been identified, and each percept that is recognized is added to this sequence. The action taken by the agent at any one instant point may be contingent on the entirety of the percept sequence experienced up to that specific instant point. Not only does a smart agent make decisions about how to act based on the present perception, but also on the sequence of previous perceptions. The agent function, which associates each perception with a certain action, decides what the next action will be.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Percept (artificial intelligence)
Chapter 2: Computer vision
Chapter 3: Intelligent agent
Chapter 4: Cognitive robotics
Chapter 5: Machine perception
Chapter 6: Active perception
Chapter 7: Subsumption architecture
Chapter 8: Automated planning and scheduling
Chapter 9: Gesture recognition
Chapter 10: Affective computing
(II) Answering the public top questions about percept.
(III) Real world examples for the usage of percept in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of percept' technologies.
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 percept.
