构建基于过程交互的认知系统

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Viacheslav E. Wolfengagen , Larisa Ismailova , Sergey Kosikov
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引用次数: 0

摘要

根据现代观念,计算与认知建模和活动是不可分离的。本文延续了统一方法的传统,并提出了少数通用机制,以应对作为一门科学的计算的主要已知影响-对象作为过程的相互作用,过程与环境的相互作用,广义的相互作用。如图所示,应用程序预结构(对象即过程、应用程序)生成一个应用程序结构(过程、应用程序、值),它确保生成结果——交互的值,从而实现评估过程。组合子理论被用作主要的(元)数学手段。建立了一种图机制,实现了新兴的对象交互应用计算系统,并反映了伴随诱导信息过程的密度。这一过程本质上是双向的,既有密度减小的过程,又有密度增大的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building a cognitive system based on process interaction

According to modern notions, computing is not separable from cognitive modeling and activity. This paper continues the tradition of the uniform approach and proposes a small number of general mechanisms that cope with the main known effects of computing as a science — the interaction of objects-as-processes, the interaction of processes with the environment, generalized interaction. As shown, the applicative prestructure (objects-as-processes, application) generates an applicative structure (processes, application, values), which ensures the generation of the result — the value of interactions, enabling the process of evaluation. The theory of combinators is used as the main (meta)mathematical means. A diagram mechanism has been developed that implements the emerging applicative computational system of object interaction and reflects the arity of accompanying the induced information processes. The processes are bidirectional in nature, both with a decrease in arity – reduction, and with an increase in arity – expansion.

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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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