Epistemic Computation and Artificial Intelligence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F18%3A00494153" target="_blank" >RIV/67985807:_____/18:00494153 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-96448-5_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-96448-5_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-96448-5_22" target="_blank" >10.1007/978-3-319-96448-5_22</a>
Alternative languages
Result language
angličtina
Original language name
Epistemic Computation and Artificial Intelligence
Original language description
AI research is continually challenged to explain cognitive processes as being computational. Whereas existing notions of computing seem to have their limits for it, we contend that the recent, epistemic approach to computations may hold the key to understanding cognition from this perspective. In this approach, computations are seen as processes generating knowledge over a suitable knowledge domain, within the framework of a suitable knowledge theory. This, machine-independent, understanding of computation allows us to explain a variety of higher cognitive functions such as accountability, self-awareness, introspection, free will, creativity, anticipation and curiosity in computational terms. It also opens the way to understanding the self-improving mechanisms behind the development of intelligence. The argumentation does not depend on any technological analogies.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Philosophy and Theory of Artificial Intelligence 2017
ISBN
978-3-319-96447-8
ISSN
2192-6255
e-ISSN
—
Number of pages
10
Pages from-to
215-224
Publisher name
Springer
Place of publication
Cham
Event location
Leeds
Event date
Nov 4, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455403900022