Papers
11
Total Citations
135
H-Index
6
About
John G. Taylor is a pioneering researcher whose work lies at the intersection of cognitive science, artificial intelligence, and robotics. His primary research areas include the perception-action cycle, cognitive control architectures, and attention-based systems for autonomous agents. Taylor's major contributions center on formalizing how biological and artificial systems process sensory information to guide goal-directed behavior, most notably through his development of the Perception-Action Cycle model, which describes the continuous feedback loop between an organism's actions and environmental perception. His 2016 paper on this topic has garnered 38 citations, while his 2013 work on cognitive control architectures for robots has received 27 citations. Taylor also made significant strides in understanding the neural basis of consciousness and goals, with his 1994 paper "Goals, drives, and consciousness" accumulating 16 citations. His innovative "Attentional Agents" framework, introduced in 2004, provides a theoretical foundation for robots to manage multiple, potentially conflicting sensory inputs through attention control. With over a decade of influential publications, Taylor has shaped how researchers design cognitive machines that mimic human brain guidance for perception, conceptualization, and reasoning—bridging neuroscience and robotics in impactful ways.
Research Focus
Key Achievements
Top Papers
- 1Perception-Action Cycle: Models, Architectures, and Hardware38 citations · 2016
- 2
- 3Goals, drives, and consciousness16 citations · 1994
- 4
- 5Attentional Agents and robot control12 citations · 2004
- 6On artificial brains7 citations · 2010
- 7Attention-Based Robot Control6 citations · 2003
- 8A Basis for Cognitive Machines5 citations · 2006
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