Perception-Action Cycle 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Perception-Action Cycle

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Taylor, John G. 編 作者
譯者
出版日期
784 頁數
$ 236.17 價格
叢書系列
9781441914514 圖書編碼

Perception-Action Cycle 在線電子書 圖書標籤: 環境感知  心理學  perception  affordance   


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發表於2024-12-25

Perception-Action Cycle 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Perception-Action Cycle 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Perception-Action Cycle 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Perception-Action Cycle 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Perception-Action Cycle 在線電子書 圖書描述

The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.

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