DC pole | Wartość | Język |
dc.contributor.author | Łaszczyca, Piotr | - |
dc.date.accessioned | 2019-03-28T12:38:30Z | - |
dc.date.available | 2019-03-28T12:38:30Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Teksty z Ulicy. Zeszyt memetyczny, nr 19 (2018), s. 39-81 | pl_PL |
dc.identifier.issn | 2081-397X | - |
dc.identifier.issn | 2081-3961 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/8695 | - |
dc.description.abstract | A simple physical formula, F = T ∇ Sτ, stands out among a number of definitions of intelligence.
Roughly translated, this means that intelligence is a thermodynamic force which maximizes the freedom
of choice in the space of the real world. The formula raises criticism and further analysis shows
that it depicts evolution rather than intelligence. Intelligence realized in the brains and the systems of
artificial intelligence are based on information processing, virtual models and a correction of errors
between predictions and material reality. In fact, such intelligence widens the space of freedom. The
evolutionary mechanism by which biological intelligence has emerged is based on the positive reciprocal
feedback between the increasing complexity of the nervous system and effective adaptation to the
environment which is categorised as inclusive fitness. This principle seems to be limited by the law of
energy allocation (trade-off principle). Evolution of intelligence is promoted by accumulation and free
and easy exchange of information, which, in turn, is a result of social life typical for intelligent biological
systems. In these systems intelligence is regarded as an integration of information, which is inevitably
attributed to other psychical functions, such as long term memory, motivation, problem solving and
consciousness. The crucial question is whether consciousness is necessary for the emergence of intelligence
or not. Coexistence of biological and artificial intelligence may be described by two opposing
models: the ecological principle of G. Gause, which states “one niche – one species” or an analogy of the
theory of the endosymbiotic emergence of eukaryotes, proposed by L. Margulis. The extrapolated advancement
of self-improving artificial intelligent systems confers practical significance to this question. | pl_PL |
dc.language.iso | pl | pl_PL |
dc.rights | Uznanie autorstwa 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/ | * |
dc.subject | inteligencja biologiczna | pl_PL |
dc.subject | sztuczna inteligencja | pl_PL |
dc.subject | informacja | pl_PL |
dc.subject | causal entropic forces | pl_PL |
dc.subject | prognozy | pl_PL |
dc.subject | czynniki | pl_PL |
dc.subject | biological intelligence | pl_PL |
dc.subject | artificial intelligence | pl_PL |
dc.subject | information | pl_PL |
dc.subject | causal entropic forces | pl_PL |
dc.subject | predictions | pl_PL |
dc.title | Inteligencja, jej memy oraz fizyka i mechanika | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.31261/TzU.2018.19.03 | - |
Pojawia się w kolekcji: | Artykuły (WNP)
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