Synthetic Cognitive Development: where intelligence comes from

TL;DR

This paper proposes a theoretical model of cognitive development inspired by human cognition, emphasizing self-organization, individuation, and transduction to create scalable, open-ended intelligent systems.

Contribution

It introduces a novel theoretical framework combining enactive cognition, individuation, and transduction for developing scalable cognitive architectures.

Findings

Conceptual model based on individuation and transduction

Framework for self-organizing cognitive networks

Discussion of mechanisms for future computational implementation

Abstract

The human cognitive system is a remarkable exemplar of a general intelligent system whose competence is not confined to a specific problem domain. Evidently, general cognitive competences are a product of a prolonged and complex process of cognitive development. Therefore, the process of cognitive development is a primary key to understanding the emergence of intelligent behavior. This paper develops the theoretical foundations for a model that generalizes the process of cognitive development. The model aims to provide a realistic scheme for the synthesis of scalable cognitive systems with an open-ended range of capabilities. Major concepts and theories of human cognitive development are introduced and briefly explored focusing on the enactive approach to cognition and the concept of sense-making. The initial scheme of human cognitive development is then generalized by introducing the philosophy of individuation and the abstract mechanism of transduction. The theory of individuation provides the ground for the necessary paradigmatic shift from cognitive systems as given products to cognitive development as a formative process of self-organization. Next, the conceptual model is specified as a scalable scheme of networks of agents. The mechanisms of individuation are formulated in context independent information theoretical terms. Finally, the paper discusses two concrete aspects of the generative model -- mechanisms of transduction and value modulating systems. These are topics of further research towards a computationally realizable model.