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21#
發(fā)表于 2025-3-25 06:31:01 | 只看該作者
Smart Customers and Retail Promotionsence that might appear as the result of numerous self-improvement cycles which result in a highly advanced version of the intelligence that people created. Using insights from classical philosophical anthropology?into what characteristics are present in live beings author suggests that there are eno
22#
發(fā)表于 2025-3-25 07:43:43 | 只看該作者
Implementation and Aftermath Planning,culty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. . problems are a class of computational problems that can be . in polynomial time using a deterministic Turing machine while solutions to . problems can be . in polynomial time, but we still d
23#
發(fā)表于 2025-3-25 15:08:35 | 只看該作者
Catherine Dalton,J. D. Harrisonlied science and technology, cybernetics?also sets up a new anthropology, cosmology, and perhaps theology, of the technically denatured world of transhuman cyborgs and posthuman superintelligent robotic beings.
24#
發(fā)表于 2025-3-25 19:12:08 | 只看該作者
,The McCulloch–Pitts Paper from the Perspective of Mathematical Logic, Originally presented as a fragment of Carnap’s Language?II, the cited calculus is regarded in this chapter as a simple propositional temporal language?with past tense modalities. We rewrite proofs of main results of the McCulloch–Pitts?paper using this language.
25#
發(fā)表于 2025-3-25 23:14:47 | 只看該作者
From the Linguistic Turn to the Cognitive Turn and Back Again,o achieve a deeper understanding of intelligence, which is also the main task of Walter Pitts?and Warren McCulloch, we need artificial intelligence, but we need psychology, neuroscience, and we also need philosophy. The complex nature of intelligence points to the need for turning back to evolution
26#
發(fā)表于 2025-3-26 01:45:53 | 只看該作者
Why Not Fuzzy Logic?,r paradigm for AI and the correct way to achieve “human level machine intelligence”. To present day, this approach hasn’t prevailed, but in the light of some recent tendencies in AI development it can gain traction. The “black-box property” of the currently predominant method—deep learning—has recen
27#
發(fā)表于 2025-3-26 07:06:54 | 只看該作者
,Meaning as Use: From Wittgenstein to Google’s Word2vec,oncepts are represented by real number vectors, with the background idea that mapping words into vectors should take into account the context of their use. The idea is present in Wittgenstein’s?both early and late works, as well as in contemporary general linguistics, especially in the works of Firt
28#
發(fā)表于 2025-3-26 11:31:27 | 只看該作者
,Rudolf Carnap–The Grandfather of Artificial Neural Networks: The Influence of Carnap’s Philosophy oulloch’s and especially Walter Pitts’ work on artificial neural networks, this influence could be reexposed to the scientific community. It is possible to establish a firm connection between Rudolf Carnap?and Walter Pitts?by pointing out to a personal relationship but also to a more internal structu
29#
發(fā)表于 2025-3-26 14:28:35 | 只看該作者
A Lost Croatian Cybernetic Machine Translation Program,pioneer in machine translation?in Yugoslavia during the 1950s. We are focused on two important seminal papers written by members of his research group between 1959 and 1962, as well as their legacy in establishing a Croatian machine translation?program based around the Faculty of Humanities and Soci
30#
發(fā)表于 2025-3-26 20:50:11 | 只看該作者
The Architectures of Geoffrey Hinton, processing layers to learn representations of data with multiple levels of abstraction, whose numerous theoretical and empirical contributions have earned him the title the Godfather of deep learning. This chapter offers a brief outline of his education, early influences and prolific scientific car
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