Challenges for artificial cognitive systems

Journal of Cognitive Science 13 (4):452-469 (2012)
Authors
Vincent C. Müller
University of Leeds
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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