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Switch to: References
Citations of:
Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence
Edinburgh University Press (2007)
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This paper presents the main topics, arguments, and positions in the philosophy of AI at present (excluding ethics). Apart from the basic concepts of intelligence and computation, the main topics of ar-tificial cognition are perception, action, meaning, rational choice, free will, consciousness, and normativity. Through a better understanding of these topics, the philosophy of AI contributes to our understand-ing of the nature, prospects, and value of AI. Furthermore, these topics can be understood more deeply through the discussion of AI; so (...) |
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Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...) |
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In her important and well-known discussion “On the Moral and Legal Status of Abortion,” Mary Anne Warren regrets that “it is not possible to produce a satisfactory defense of a woman’s right to obtain an abortion without showing that the fetus is not a human being, in the morally relevant sense.” Unlike some more cautious philosophers, Warren thinks that we can definitively demonstrate that the fetus is not a person. In this paper, Warren’s argument is critically examined with a focus (...) |
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By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) |
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Recent algorithmic technologies have challenged law’s anthropocentric assumptions. In this article, we develop a set of theoretical tools drawn from new materialisms and the philosophy of information to unravel the complex intra-actions between law and computer code. Accordingly, we first propose a framework for understanding the enmeshing of law and code based on a diffractive reading of Barad’s agential realism and Simondon’s theory of information. We argue that once law and code are understood as material entities that intra-act through in-formation, (...) |
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The cognition and information theoretic sciences have now been in existence for the better part of a century. In that time, their varied disciplines have undergone extensive maturation, honing their methods, constitutions, and evaluation techniques in the pursuit of academic rigor, while not losing sight of the practical influences that have served as their almost universal cornerstone. Meanwhile, this period has also been marked by increasing disparity and gradual distancing of the philosophical underpinnings upon which each field is founded, adding (...) |
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