Journal of Cognitive Science 13 (4):452-469 (2012)

Authors
Vincent C. Müller
Eindhoven University of Technology
Abstract
The declared goal of this paper is to fill this gap: “... cognitive systems research needs questions or challenges that define progress. The challenges are not (yet more) predictions of the future, but a guideline to what are the aims and what would constitute progress.” – the quotation being from the project description of EUCogII, the project for the European Network for Cognitive Systems within which this formulation of the ‘challenges’ was originally developed (http://www.eucognition.org). So, we stick out our neck and formulate the challenges for artificial cognitive systems. These challenges are articulated in terms of a definition of what a cognitive system is: a system that learns from experience and uses its acquired knowledge (both declarative and practical) in a flexible manner to achieve its own goals.
Keywords cognitive system  cognition  artificial intelligence  challenges  intelligence testing  benchmarking  learning  robustness  flexibility  technological readiness level
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Measuring Progress in Robotics: Benchmarking and the ‘Measure-Target Confusion’.Vincent C. Müller - 2019 - In Fabio Bonsignorio, John Hallam, Elena Messina & Angel P. Del Pobil (eds.), Metrics of sensory motor coordination and integration in robots and animals. Berlin: Springer. pp. 169-179.

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