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Perception and reasoning are frequently categorized together as core mental processes in cognitive psychology [1], [2] and as essential components of intellectual virtues [3]. Furthermore, both are integrated as fundamental agent abilities in the development of neuro-symbolic systems [4], [5] and Large Language Models [6], [7].
Facts (7)
Sources
Virtue Epistemology | Internet Encyclopedia of Philosophy iep.utm.edu 1 fact
claimJohn Greco defines intellectual virtues as innate faculties or acquired habits, such as perception, reliable memory, and good reasoning, that enable a person to reach truth and avoid error in a relevant field.
The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org 1 fact
claimLarge Language Models are trained on large-scale transformers comprising billions of learnable parameters to support abilities including perception, reasoning, planning, and action.
Psychology and Cognitive Science on Consciousness klinikong.com 1 fact
claimCognitive psychology examines internal mental processes, including perception, memory, reasoning, and decision-making.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org 1 fact
claimLarge Language Models (LLMs) are trained on large-scale transformers comprising billions of learnable parameters to support agent abilities such as perception, reasoning, planning, and action.
Naturalized epistemology and cognitive science | Intro to... - Fiveable fiveable.me 1 fact
claimCognitive psychology focuses on mental processes including perception, attention, memory, and reasoning.
The Year of Neuro-Symbolic AI: How 2026 Makes Machines Actually ... cogentinfo.com 1 fact
claimA neuro-symbolic system separates perception from reasoning, ensuring that real-world inputs are transformed into structured intelligence before any decision is made, which allows the system to explain its choices, maintain compliance, and adapt to complexity.
Neuro-Symbolic AI: The Hybrid Future of Intelligent Systems - LinkedIn linkedin.com 1 fact
claimNeuro-symbolic systems are designed using insights from human cognition and neuroscience, which influences how perception, reasoning, and abstraction are integrated into these systems.