Conscious AI at the Edge of Chaos
Journal of Artificial Intelligence and Consciousness March 1, 2020 DOI: 10.1142/s2705078520500010 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that the productive distinction for AI consciousness is between traditional GOFAI computing and stochastic pattern optimization at the "edge of chaos," rather than between symbolic and sub-symbolic computing. Contends this form of computing is promising for AGI consciousness, and that a second problem is adopting the right definitions of consciousness. |
Abstract
The main problem for AI consciousness is to operate within the right kind of AI. We distinguish between the traditional computing (GOFAI), and the computing based on stochastic pattern optimization. The latter will be called here computing at the edge of chaos. Optimization of learning patterns, which is the gist of its success, often happens between the areas of too much repetitive order and those of hard to predict and control stochastic processes. This is to change the focus from the opposition of symbolic versus sub-symbolic computing; symbols can appear at different granularities and the hedge between The Physical Symbol System Hypothesis and neural nets seems no longer the most productive cut to make. Computing at the edge of chaos is promising for AGI, especially for AGI consciousness. The second problem for AI consciousness is to work with the right definitions of consciousness.
Citations in the library
Cites 4
- On a confusion about a function of consciousness Behavioral and Brain Sciences June 1, 1995
- AN ALTERNATIVE TO WORKING ON MACHINE CONSCIOUSNESS International Journal of Machine Consciousness June 1, 2010
- THE PHILOSOPHICAL ISSUE IN MACHINE CONSCIOUSNESS International Journal of Machine Consciousness May 19, 2009
- The Engineering Thesis in Machine Consciousness Techné: Research in Philosophy and Technology 2012