The Challenge of Anticipation, A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems
The Challenge of Anticipation, A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems
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预期的挑战，人工认知系统分析和设计的统一框架
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
R. Falcone
中科院分区：
文献类型：
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作者：
G. Pezzulo;Martin Volker Butz;C. Castelfranchi;R. Falcone
这本书提出了一种分析和设计人工认知系统的统一方法：预期方法。在11个连贯的章节中，作者提出了一个基本观点，即处理未来的重要性，从当前的环境数据中获得一些自主权，以及内源性地产生感觉运动和抽象表征。提出了一个有意义的分类预期认知机制，区分预测的类型和这些预测对实际行为和学习的不同影响。因此，一个新的统一的认知系统的观点。本书中所描述的预期方法不仅有助于认知系统的分析，而且还将作为一种灵感和指导，帮助我们逐步设计出更先进、更有能力的大型模块化人工认知系统。
This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this state-of-the-art survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.