40 years of cognitive architectures: core cognitive abilities and practical applications
By Iuliia Kotseruba, John K. Tsotsos. Artificial Intelligence Review, 2018
424 citations recorded by the source corpus.
In this paper we present a broad overview of the last 40 years of research on cognitive architectures. To date, the number of existing architectures has reached several hundred, but most of the existing surveys do not reflect this growth and instead focus on a handful of well-established architectures. In this survey we aim to provide a more inclusive and high-level overview of the research on cognitive architectures. Our final set of 84 architectures includes 49 that are still actively developed, and borrow from a diverse set of disciplines, spanning areas from psychoanalysis to neuroscience. To keep the length of this paper within reasonable limits we discuss only the core cognitive abilities, such as perception, attention mechanisms, action selection, memory, learning, reasoning and metareasoning. In order to assess the breadth of practical applications of cognitive architectures we present information on over 900 practical projects implemented using the cognitive architectures in our list. We use various visualization techniques to highlight the overall trends in the development of the field. In addition to summarizing the current state-of-the-art in the cognitive architecture research, this survey describes a variety of methods and ideas that have been tried and their relative success in modeling human cognitive abilities, as well as which aspects of cognitive behavior need more research with respect to their mechanistic counterparts and thus can further inform how cognitive science might progress.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/e9ac4a5244b67308bfb78900f509dfe014d8d077
How researchers see this paper
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In Artificial Intelligence
- Shunyu Yao
- Theodore R. Sumers
- Karthik Narasimhan
- Thomas L. Griffiths
- Philipp Mueller
- Andreas Bulling
- Ekta Sood
- Simon Tannert
In Computational Theory and Mathematics
Citations in the corpus
- Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention (2020, background): “Key challenges for such models are a limited number of parameters, hand-crafted rules and thus a difficulty to adapt them to different tasks and domains, as well as the difficulty to use them as part of an end-to-end trained machine learning architectures [16, 39, 45].”
- Cognitive Architectures for Language Agents (2023, background): “Kotseruba and Tsotsos, 2020).”
- DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics (2020, neutral): “1 Cognitive architectures Cognitive architectures have been studied for more than 40 years [96].”