The Construction Approach of Machine Consciousness and Its Limitations
Computer Sciences & Mathematics Forum March 26, 2025 DOI: 10.3390/cmsf2023008016 (opens in new tab) via DOAJ
Summary
AI-generated from the abstractMachine consciousness research follows two main approaches: the algorithm-construction strategy, which uses mathematical and theoretical computations without reference to the human brain, and the brain-like-construction strategy, which attempts to generate consciousness through biophysical mechanisms based on how the human brain produces consciousness. This paper presents both paths and analyzes their limitations.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Machine consciousness Construction approach Limitations |
| Key finding | Argues that machine consciousness research is divided into algorithm-construction and brain-like-construction strategies, each with its own limitations. |
Abstract
Along with the development of artificial-intelligence technology, the construction of machine consciousness has become a hot issue studied by scholars. Generally speaking, the research methods of machine consciousness are mainly divided into two approaches: the algorithm-construction strategy and the brain-like-construction strategy. The algorithm-construction strategy refers to the research of machine consciousness using mathematical and theoretical computations without considering the human-brain factor but by using the symbolic computation path. The brain-like-construction strategy refers to exploring the possibility of consciousness generation by machines through biophysical mechanisms on the basis of studying the mechanism of consciousness generation in human brain. In this paper, we will present these two paths of machine-consciousness construction and analyze their limitations.