Purposeful and Operation-based Cognitive System for AGI
Shimon Komarovsky

TL;DR
This paper introduces a comprehensive cognitive model for AGI that integrates operational frameworks, duality principles, and a developmental evolution process, aiming for efficient, reusable, and adaptable intelligence.
Contribution
It extends previous models like DENN and AKREM by incorporating operational models and a developmental evolution approach for AGI cognition.
Findings
Proposes a mature cognitive model with dynamic operational memory.
Integrates duality principles in learning and generalization.
Describes a developmental process from infancy to adulthood.
Abstract
This paper proposes a new cognitive model, acting as the main component of an AGI agent. The model is introduced in its mature state, and as an extension of previous models, DENN, and especially AKREM, by including operational models (frames/classes) and will. In addition, it is mainly based on the duality principle in every known intelligent aspect, such as exhibiting both top-down and bottom-up model learning, generalization verse specialization, and more. Furthermore, a holistic approach is advocated for AGI designing and cognition under constraints or efficiency is proposed, in the form of reusability and simplicity. Finally, reaching this mature state is described via a cognitive evolution from infancy to adulthood, utilizing a consolidation principle. The final product of this cognitive model is a dynamic operational memory of models and instances.
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Taxonomy
TopicsAI-based Problem Solving and Planning · Computability, Logic, AI Algorithms
MethodsVERtex Similarity Embeddings
