BIBFRAME Work

Title

Biologically Inspired Cognitive Architectures 2018

Type

• Text
• Monograph

Contribution

• Samsonovich, Alexei V. (editor)

Subject

• UYQ
• Neurosciences (LCSH)
• T11014
• TEC009000 (BISACSH)
• Artificial intelligence (LCSH)
• I22040
• I21000
• Y20060
• Cognitive psychology (LCSH)
• B18006
• Biometry (LCSH)
• Computational intelligence (LCSH)

Language

• English

Classification

• LCC: Q342 (Status: not used by assigner) (Status: upgraded prepub)
• DDC: 006.3

Content

• text

Summary

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Ninth Annual Meeting of the BICA Society, held in on August 23-24, 2018, in Prague, Czech Republic, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Authorized Access Point

Biologically Inspired Cognitive Architectures 2018

Admin Metadata

• Date: 2026-09-11T20:14:09.987737+00:00
• Agent: cbc
• Status: c
• Derived from: 21733829

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc