Method of a distributed construction and the use of a level description of goal conditions within the framework of a logic-predicate approach to AI problems is described in the paper. The previously proposed logical-predicate approach to solving AI problems is briefly described. Many of these ...
Predicate Logic in Discrete Mathematics - Explore the fundamentals of Predicate Logic in Discrete Mathematics. Learn about its concepts, significance, and applications.
We will successively introduce them in special terminology subsections such as the present one. Here some elementary notions of predicate logic, modal logic, and probability that we will need are assembled. For details, see [Sadegh-Zadeh, 2011]. A simple subject-predicate statement such as “...
Book series1998, Studies in Logic and the Foundations of Mathematics Samuel R. Buss Explore book 1.3.4 Polynomial time computable functions in S21 The last section discussed the fact that Σ1b-definable functions and Δ1b-defined predicates can be introduced into theories of bounded arithmetic and...
5. Related work The idea of predicate invention has a long history in the field of inductive logic program- ming; there are several reviews of work done in this area (Stahl, 1996; Kramer, 1995). Our 116 M. CRAVEN AND S. SLATTERY Table 9. Recall (R), precision (P) and F1 scores ...
The experiments are presented in the papers are available in the src/deepproblog/examples directory. Papers Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt: DeepProbLog: Neural Probabilistic Logic Programming. NeurIPS 2018: 3753-3763 (paper) Robin Manhaeve, Seba...
The experiments are presented in the papers are available in the src/deepproblog/examples directory. Papers Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt: DeepProbLog: Neural Probabilistic Logic Programming. NeurIPS 2018: 3753-3763 (paper) Robin Manhaeve, Seba...
In order to realize algorithms with variable length words and dictionary values with assist warps, we leverage the coalescing/address generation logic [60, 61] already available in the GPU cores. We make two minor modifications to these algorithms [17, 59] to adapt them for use with CABA. ...
Machine Learning techniques such as Inductive Logic Programming or ILP (Muggleton, 1992) can generate intensional predicate definitions from extensional data. In this paper, we are describing inductive techniques to obtain predicate definitions that can be used to restructure a knowledge base in a more...
disclosed, even where only a single embodiment is described with respect to a particular feature. On the contrary, the intention is to cover all modifications, equivalents and alternatives that would be apparent to a person skilled in the art having the benefit of this disclosure. Examples of fe...