Good Old-Fashioned Artificial Consciousness and the Intermediate Level Fallacy.
Riccardo Manzotti, Antonio Chella
Frontiers in Robotics and AI 2018 DOI: 10.3389/frobt.2018.00039 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Artificial consciousness Machine consciousness Robot consciousness Robot self-awareness Synthetic phenomenology |
| Key points | Argues that the 'intermediate level fallacy' is the central problem with current approaches to robot consciousness and proposes an alternative conceptual framework. |
Abstract
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.
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- 4E’s Are Too Many Why Enactive World-Making Does Not Need The Extended Mind Thesis JoLMA December 9, 2020
- The Projective Consciousness Model: Projective Geometry at the Core of Consciousness and the Integration of Perception, Imagination, Motivation, Emotion, Social Cognition and Action. Brain Sciences October 9, 2023
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