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Titlebook: Cognitive Reasoning; A Formal Approach Tamás Gergely,Oleg M. Anshakov Book 2010 Springer-Verlag Berlin Heidelberg 2010 Abduction.Cognitive

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Lecture Notes in Computer Sciencespite the many alternative approaches a complete and convincing artificial cognitive system has not yet been developed and, even further, it has not been known how to design and build artificial cognitive systems. This is why understanding cognition and modelling, designing and building artificial c
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Semantic Processing of Legal Textsf this discussion, the key topics included in this book emerge at the conceptual level. We will describe the main processes and their cognitive reasoning constituents which permit going beyond the readily available information. We will develop a model which represents the processes occurring as comm
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Eneldo Loza Mencía,Johannes Fürnkranztive reasoning. Most of these notions should be well known to readers. However we aim not to give them a formal definition but to provide an explanation of how these notions will be understood and applied by our approach in the forthcoming sections.
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Semantic Relations Between Nominalsy (i) to understand (e.g. human) cognition and (ii) to support its modelling. This structure, together with all the constituents forms, we call a “cognitive architecture”. This architecture will be developed w.r.t. a cognizing agent, which is the main actor in our approach. A . means either a living
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Machine Learning for Semantic Role Labeling,The main purpose of this chapter is to introduce some classes of many-valued logics, namely the class of . (PJ logics) and two its subclasses: the class of . (FPJ logics) and the class of ..
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