The Computational Evolution of Cognitive Architectures - Kotseruba, Iuliia; Tsotsos, John K
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In this volume, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their early logic-based beginnings to their recent melding of classic methodologies with deep learning concepts.

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Produktbeschreibung
In this volume, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their early logic-based beginnings to their recent melding of classic methodologies with deep learning concepts.
Autorenporträt
Iuliia Kotseruba is a Postdoctoral Visitor at York University, Canada, where she received her PhD and MSc in Computer Science focusing on cognitive systems and transportation safety. Prior to that she obtained her BSc in AI from University of Toronto and BA in Philosophy from National University of Kyiv-Mohyla Academy. She works on intelligent systems inspired by human vision, attention, and cognition. She has spent the past decade building and surveying cognitive architectures and has been a keynote speaker and a contributor to major AI conferences. She has authored over thirty scientific papers on various topics from visual saliency to intelligent transportation. John Tsotsos is Distinguished Research Professor of Vision Science, York University, Canada. He received his PhD in Computer Science from the University of Toronto in 1980, joined their faculty, and founded the University of Toronto's Computer Vision Group, leading it for 20 years. He moved to York University in 2000 as Director, Centre for Vision Research. His honours include CIFAR Fellow, Canada Research Chair in Computational Vision, IEEE Life Fellow, Fellow Canadian Academy of Engineering, and Fellow of the Royal Society of Canada. He received the 2015 Sir John William Dawson Medal for sustained excellence in multidisciplinary research and the 2020 CS-Can