论文标题

代表功能和负担的一般框架:认知,因果和扎根的方法,以及迈向AGI的一步

A General Framework for the Representation of Function and Affordance: A Cognitive, Causal, and Grounded Approach, and a Step Toward AGI

论文作者

Ho, Seng-Beng

论文摘要

在AI研究中,到目前为止,尽管这一方面在智能系统的功能中突出特征,但对功能和负担的表征和表现的关注一直是零星和稀疏的。迄今为止,零星和稀疏的稀疏努力致力于对功能和负担的表征和理解,也没有一般框架可以统一与功能概念的表示和应用有关的所有不同使用域和情况。本文开发了这样的一般框架,这种方法强调了这样一个事实,即所涉及的表示必须是明确的认知和概念性的,它们还必须包含有关所涉及的事件和过程的因果特征,并采用概念上的概念构造,这些概念结构是基于引用者,以实现最大值的代表。描述了基本的一般框架,以及一组有关功能表示的基本指南原则。为了正确,正确地表征和表示功能,需要一种描述性表示语言。该语言是定义和开发的,并描述了其使用的许多示例。一般框架是基于一般语言含义表示代表框架的概念依赖性的扩展而开发的。为了支持功能的一般表征和表示,基本的概念依赖框架通过称为结构锚和概念依赖性阐述的代表性设备以及一组地面概念的定义来增强。这些新颖的代表性构建体得到了定义,开发和描述。处理功能的一般框架将代表实现人工智能的重大步骤。

In AI research, so far, the attention paid to the characterization and representation of function and affordance has been sporadic and sparse, even though this aspect features prominently in an intelligent system's functioning. In the sporadic and sparse, though commendable efforts so far devoted to the characterization and understanding of function and affordance, there has also been no general framework that could unify all the different use domains and situations related to the representation and application of functional concepts. This paper develops just such a general framework, with an approach that emphasizes the fact that the representations involved must be explicitly cognitive and conceptual, and they must also contain causal characterizations of the events and processes involved, as well as employ conceptual constructs that are grounded in the referents to which they refer, in order to achieve maximal generality. The basic general framework is described, along with a set of basic guiding principles with regards to the representation of functionality. To properly and adequately characterize and represent functionality, a descriptive representation language is needed. This language is defined and developed, and many examples of its use are described. The general framework is developed based on an extension of the general language meaning representational framework called conceptual dependency. To support the general characterization and representation of functionality, the basic conceptual dependency framework is enhanced with representational devices called structure anchor and conceptual dependency elaboration, together with the definition of a set of ground level concepts. These novel representational constructs are defined, developed, and described. A general framework dealing with functionality would represent a major step toward achieving Artificial General Intelligence.

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