| Authors |
Title |
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I. Mrázová and P. Zvirinský |
Czech Insolvency Proceedings: Extraction of Numerical Information and Its Analysis. |
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ICBDM 2018 conference, University of Macau, China, 26-28 February 2018, University of Macau, China, Accepted on December 5, 2017., 6 p. |
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Abstract: The Czech Insolvency Register launched in 2008 covers recently about 200000 insolvency proceedings. A lot of information it stores about the debtors is provided in structured form and is easily accessible. Further information, e.g., about the amount of debt or the reasons for it, is, however, contained only in scanned document copies attached to the insolvency proceedings. Altogether, there are cca 1500000 of such pdf-documents in the Insolvency Register. As this data is crucial to grasp the real impact of indebtedness across the Czech society, our study is focused on efficient extraction of information on the amount of debt from the scanned documents. Based on the found values of debt and their creditors, individual debtors can be grouped together to form clusters of individuals with a similar structure of debt. Finally, the overall value of debt can be assessed both for the creditors and for the entire country. |
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Links: BibTeX |
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J. Wiedermann and J. Leeuwen |
Epistemic Computation and Artificial Intelligence |
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to appear under the title "A New View of Computations and Artificial Intelligence," in Philosophy and Theory of Artificial Intelligence III, Studies in Applied Philosophy, Epistemology and Rational Ethics ed., C. V. Mueller, Ed. Berlin: Springer, 2018, to appear under the title "A New View of Computations and Artificial Intelligence". |
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Abstract: 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. Here, computations are seen as processes
generating knowledge over a suitable knowledge domain,
within the framework of a suitable knowledge theory. This, machineindependent,
understanding of computations allows us to explain a
variety of higher cognitive functions such as accountability, selfawareness,
introspection, knowledge understanding, free will, creativity,
anticipation, curiosity in computational terms, as well as to
understand the mechanisms behind the development of intelligence.
The argumentation does not depend on any technological analogies. |
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Links: BibTeX, link |
Czech 