On the Conflation of Consciousness and Cognitive Complexity
Katrina Schleisman, Michael Levin
AAAI Spring Symposia May 18, 2026 DOI: 10.1609/aaaiss.v8i1.42566 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Position paper Peer reviewed |
|---|---|
| Key points | Argues that three assumptions about consciousness—emergence from complex matter, dependence on architectural cognitive complexity, and measurability via behavioral complexity—are questionable and stem from analytic materialist philosophy. Proposes that alternatives to these views should be considered in machine consciousness research. |
Abstract
The goal of detecting, measuring, and engineering machine consciousness depends on making explicit key metaphysical assumptions about the nature of consciousness that may be lying dormant in the minds of AI researchers. In this position paper, we lay out a small set of arguments that call into question a particular family of these assumptions. These assumptions all arise from the dominant paradigm of analytic materialist philosophy in combination with modern cognitive science: 1. consciousness is a property that emerges from complex matter, 2. consciousness depends on architectural cognitive complexity, and 3. consciousness can be measured as a function of behavioral cognitive complexity. Alternatives to these views and their implications for future machine consciousness research are discussed.