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Enaction-Based Artificial Intelligence: Toward Coevolution with Humans in the Loop

机译:基于行动的人工智能:与人类共同进化   在循环

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摘要

This article deals with the links between the enaction paradigm andartificial intelligence. Enaction is considered a metaphor for artificialintelligence, as a number of the notions which it deals with are deemedincompatible with the phenomenal field of the virtual. After explaining thisstance, we shall review previous works regarding this issue in terms ofartifical life and robotics. We shall focus on the lack of recognition ofco-evolution at the heart of these approaches. We propose to explicitlyintegrate the evolution of the environment into our approach in order to refinethe ontogenesis of the artificial system, and to compare it with the enactionparadigm. The growing complexity of the ontogenetic mechanisms to be activatedcan therefore be compensated by an interactive guidance system emanating fromthe environment. This proposition does not however resolve that of therelevance of the meaning created by the machine (sense-making). Suchreflections lead us to integrate human interaction into this environment inorder to construct relevant meaning in terms of participative artificialintelligence. This raises a number of questions with regards to setting up anenactive interaction. The article concludes by exploring a number of issues,thereby enabling us to associate current approaches with the principles ofmorphogenesis, guidance, the phenomenology of interactions and the use ofminimal enactive interfaces in setting up experiments which will deal with theproblem of artificial intelligence in a variety of enaction-based ways.
机译:本文讨论了行为范式与人工智能之间的联系。行动被认为是人工智慧的隐喻,因为它涉及的许多概念被认为与虚拟现象领域不兼容。在解释了这种情况之后,我们将根据人工寿命和机器人技术来回顾有关该问题的先前工作。我们将集中关注这些方法的核心是对共同进化的缺乏认识。我们建议将环境的演化过程明确地整合到我们的方法中,以完善人工系统的本体生成,并将其与行为范式进行比较。因此,可以通过环境发出的交互式引导系统来补偿要激活的本体机制的日益增长的复杂性。但是,这个命题并没有解决与机器创造的意义(意义制造)有关的命题。这种反思使我们将人类的互动融入到这种环境中,以便在参与性人工智能方面构建相关的意义。关于建立非互动式交互,这引发了许多问题。本文通过探讨许多问题作为总结,从而使我们能够将当前的方法与形态发生原理,指导,相互作用的现象学以及使用最小的活性界面在建立实验中联系起来,这些实验将解决各种人工智能问题。基于行为的方式。

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