Types of Cognition and its Implications for future High-Level Cognitive Machines

2017/06/05 by Camilo Miguel Signorelli, Signorelli, Camilo Miguel
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Biological sciences #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)

paper · pdf · doi:10.48550/arxiv.1706.01443

openalex publication_date 2017/06/05 · openalex created_date 2017/06/15 · openalex updated_date 2026/07/28

Abstract

This work summarizes part of current knowledge on High-level Cognitive process and its relation with biological hardware. Thus, it is possible to identify some paradoxes which could impact the development of future technologies and artificial intelligence: we may make a High-level Cognitive Machine, sacrificing the principal attribute of a machine, its accuracy.

Citations

• Can quantum probability provide a new direction for cognitive modeling?
• On Computable Numbers, with an Application to the Entscheidungsproblem

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