AIHCMay 24, 2025

Challenges for artificial cognitive systems

arXiv:2505.20339v111 citationsh-index: 21
Originality Synthesis-oriented
AI Analysis

It provides guidelines for researchers in cognitive systems, but is incremental as it builds on existing project descriptions.

The paper formulates challenges for artificial cognitive systems to define progress, based on a definition of cognitive systems as learning from experience and flexibly using knowledge to achieve goals.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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