2020/03/25 by Naoya Arakawa, Arakawa, Naoya
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Biological sciences #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Neurons and Cognition (q-bio.NC) #cs.AI #q-bio.NC
paper · pdf · doi:10.48550/arxiv.2003.12353
arxiv created 2020/03/25 · openalex publication_date 2020/03/25 · arxiv updated 2020/03/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This article surveys engineering and neuroscientific models of planning as a cognitive function, which is regarded as a typical function of fluid intelligence in the discussion of general intelligence. It aims to present existing planning models as references for realizing the planning function in brain-inspired AI or artificial general intelligence (AGI). It also proposes themes for the research and development of brain-inspired AI from the viewpoint of tasks and architecture.