Sanvito W L
Faculdade de Ciências Médicas da Santa Casa de São Paulo.
Arq Neuropsiquiatr. 1995 Sep;53(3-A):361-8.
After brief considerations about intelligence, a comparative study between biologic and artificial intelligence is made. The specialists in Artificial Intelligence found that intelligence is purely a matter of physical symbol manipulation. The enterprise of Artificial Intelligence aims to understand what we might call Brain Intelligence in terms of concepts and techniques of engineering. However the philosophers believed that computer-machine can have syntax, but can never have semantics. In other words, that they can follow rules, such as those of arithmetic or grammar, but not understand what to us are meanings of symbols, such as words. In the present paper it is stressed that brain/mind complex constitutes a monolithic systemic that functions with emergent properties at several levels of hierarchical organization. These hierarchical levels are non-reducible to one another. They are at least three (neuronal, functional, and semantic), and they function within an interactional plan. The brain/mind complex, which transform informations in meanings, deals with problems by means of both logical and non-logical mechanisms; while logic allows the mind to arrange the elements for reasoning, the non-logical mechanisms (fuzzy logic, heuristics, insights) allows the mind to develop strategies to find solutions. The model for construction of the "intelligent machine" is the operating way of the brain/mind complex, which does not always use logical processes. The role of information science in Artificial Intelligence is to search for knowledge itself (virtual knowledge), rather than to simply attempt a logico-mathematical formalization of knowledge.
在对智能进行简要思考之后,开展了一项生物智能与人工智能之间的比较研究。人工智能专家发现,智能纯粹是物理符号操作的问题。人工智能的目标是从工程学的概念和技术角度来理解我们所谓的大脑智能。然而,哲学家们认为计算机机器可以有句法,但永远不会有语义。换句话说,它们可以遵循规则,比如算术或语法规则,但不理解对我们来说符号的意义,比如单词的意义。在本文中强调,大脑/心智复合体构成了一个整体系统,在层次组织的多个层面上具有涌现特性。这些层次彼此不可简化。它们至少有三个(神经元层面、功能层面和语义层面),并且在一个交互计划中发挥作用。将信息转化为意义的大脑/心智复合体通过逻辑和非逻辑机制来处理问题;逻辑使心智能够安排推理要素,而非逻辑机制(模糊逻辑、启发法、洞察力)使心智能够制定寻找解决方案的策略。“智能机器”的构建模型是大脑/心智复合体的运作方式,其并不总是使用逻辑过程。信息科学在人工智能中的作用是寻找知识本身(虚拟知识),而不是简单地尝试对知识进行逻辑数学形式化。