Exploring the TAME Framework: Insights from AI, Robotics and Engineering

Vries, Jiske de (2024) Exploring the TAME Framework: Insights from AI, Robotics and Engineering. Bachelor's Thesis, Artificial Intelligence.

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Abstract

This study examines Levin’s TAME framework to determine if it provides useful guidelines for understanding and developing systems in AI, biomedical engineering, and robotics. Experts from these fields were interviewed to explore how the framework applies to artificial systems. Levin argues that the divide between artificial and natural systems is outdated, suggesting hybrid systems can bridge these two worlds. He emphasises goal-directed behaviour as a key component of cognitive systems. He proposes to design systems with agents at multiple levels that can scale up to form a larger agent.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Schippers, M.B. and Keijzer, F.A.
Degree programme:	Artificial Intelligence
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	16 Jul 2024 11:42
Last Modified:	16 Jul 2024 11:42
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/33444

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