Integral, Implicitly Intelligent Systems

Abstract

Artificial intelligence systems today suffer from problems that are widely acknowledged within the discipline: brittleness, inflexibility, the frame problem and others. These problems are due largely to insufficient methodological foresight in system design. In particular, reduction of a system into components and the explicit representation of knowledge (frames, rules etc.) are misused. Research has begun at OZIR to investigate a different class of system: integral and implicitly intelligent. This paper explains the hypotheses involved and the direction of research.