Knowledge acquisition via interactive Distributed Cognitive skill Modules
Ahmet Orun

TL;DR
This paper proposes a modular approach to acquiring and storing procedural cognitive skills through distributed modules, aiming to extend problem-solving capabilities beyond traditional methods.
Contribution
It introduces an early-stage modular framework for procedural skill acquisition and storage, enhancing the ability to solve spontaneous, unique problems.
Findings
Proposes a distributed modular architecture for cognitive skills
Enables extension of problem-solving beyond conventional tools
Facilitates storage and retrieval of procedural knowledge
Abstract
The human's cognitive capacity for problem solving is always limited to his/her educational background, skills, experiences, etc. Hence, it is often insufficient to bring solution to extraordinary problems especially when there is a time restriction. Nowadays this sort of personal cognitive limitations are overcome at some extend by the computational utilities (e.g. program packages, internet, etc.) where each one provides a specific background skill to the individual to solve a particular problem. Nevertheless these models are all based on already available conventional tools or knowledge and unable to solve spontaneous unique problems, except human's procedural cognitive skills. But unfortunately such low-level skills can not be modelled and stored in a conventional way like classical models and knowledge. This work aims to introduce an early stage of a modular approach to procedural…
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Taxonomy
TopicsAI-based Problem Solving and Planning · Distributed and Parallel Computing Systems · Intelligent Tutoring Systems and Adaptive Learning
