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

Autor:	Signorelli, Camilo Miguel
Rok vydání:	2017
Předmět:	Computer Science - Artificial Intelligence Quantitative Biology - Neurons and Cognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 2017 AAAI Spring Symposium Series, Science of Intelligence: Computational Principles of Natural and Artificial Intelligence
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1706.01443 Zobrazit plný text záznamu View this record from Arxiv