Manzotti Riccardo, Chella Antonio
Department of Business, Law, Economics and Consumer Behavior, Università di Comunicazione e Lingue (IULM), Milan, Italy.
RoboticsLab, Department of Industrial and Digital Innovation, University of Palermo, Palermo, Italy.
Front Robot AI. 2018 Apr 18;5:39. doi: 10.3389/frobt.2018.00039. eCollection 2018.
Recently, there has been considerable interest and effort to the possibility to design and implement conscious robots, i.e., the chance that robots may have subjective experiences. Typical approaches as the global workspace, information integration, enaction, cognitive mechanisms, embodiment, i.e., the Good Old-Fashioned Artificial Consciousness, henceforth, GOFAC, share the same conceptual framework. In this paper, we discuss GOFAC's basic tenets and their implication for AI and Robotics. In particular, we point out the intermediate level fallacy as the central issue affecting GOFAC. Finally, we outline a possible alternative conceptual framework toward robot consciousness.
最近，人们对设计和实现有意识机器人的可能性产生了浓厚兴趣并付出了诸多努力，即机器人可能拥有主观体验的机会。诸如全局工作区、信息整合、生成、认知机制、具身化等典型方法，也就是传统的人工意识（以下简称GOFAC），都共享相同的概念框架。在本文中，我们讨论了GOFAC的基本原理及其对人工智能和机器人技术的影响。特别是，我们指出中间层谬误是影响GOFAC的核心问题。最后，我们概述了一种针对机器人意识的可能的替代概念框架。
