The Loading, Reasoning and Inference Functionality Results
Reasoning about the functionality of tools and physical artifacts
... are used as features for the attributed relational graph representation. Their method randomly partitions the input image into many sub-images where Hopfield networks are used to derive the isomorphism mappings between ...
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Extrapolative Inference and Analogical Reasoning in the Empirical Sciences
... Two features seem to be decisive and picture the essence of the analogical reasoning used in science. First, it always refers to the specific states of affairs and, secondly, is based on the explicit as- sumption ...
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NFI: a neuro-fuzzy inference method for transductive reasoning
... This paper is organized as follows. Section II gives the description of NFI and its learning algorithm and in Sec- tion III, different NFI models are applied on two benchmark data sets—Mackey–Glass and Iris, and on a ...
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NaturalLI: Natural Logic Inference for Common Sense Reasoning
... The results show that the system is able to cap- ture Natural Logic inferences with similar accu- racy to the state-of-the-art system of MacCartney and Manning ...
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Robust textual inference via learning and abductive reasoning
... logical reasoning, in the hope of marrying the ro- bustness and scalability of learning with the preciseness and elegance of logical theorem ...experimental results from the recent PASCAL RTE 2005 challenge ...
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Automatic inference of causal reasoning chains from student essays
... the-art results in tasks like sequence labeling and language modeling [146, 248, 170] where learning long term dependencies between words and phrases are important for achieving good ...
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Approximate syllogistic reasoning: a contribution to inference patterns and use cases
... We also identify computational tasks. The first step is to improve the current version of the SEREA library for dealing with all the linguistic quantifiers that we have addressed in this research, such as similarity or ...
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Chains of Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi hop Inference
... • Top ranked facts in the final results relate to fossil formation and rock formation. Again, because of the same reason mentioned before, the ranker never sees the other choice terms 7 mdsa 2009 5 16 Question: ...
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3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning
... Figure 4.5: The breakdown of action recognition accuracy according to the number of camera views in which each entity is observed. Table 4.2 shows the performance of scene-centric predictions with view-centric proposals, ...
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Probabilistic reasoning in economic decisions - belief formation, inference judgements, and retirement
... Overall, results are very similar, with two sets of results warrant a brief discussion. First, throughout each subsample, we consistently find an eco- nomically strong and statistically significant ...
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Reasoning of the student’s performance based on adaptive neuro-fuzzy inference system
... 7 1.8 Project Plan This project will be carried out in two semesters. The first part of the project is done in the first semester where the understandings of literature review and methodology that will be used are done. ...
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Algorithms and complexity results for discrete probabilistic reasoning tasks
... approximate inference in the bigger picture of the application, that is, to know whether better results could be obtained by improving the quality of inference, or if it is the model or methodology ...
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Enhancing a Fuzzy Inference System-Based Criterion-Referenced Assessment with an Analogical Reasoning Schema
... An FIS-based CRA with AR was presented and evaluated with a case study. Our experimental results showed the proposed approach can reduce the number of fuzzy rules to be gathered from lecturer effectively. With ...
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Modelling and reasoning of large scale fuzzy petri net using inference path and bidirectional methods
... bidirectional reasoning algorithm to solve the state explosion problems of knowledge-based system (KBS) modelling and reasoning using ...and reasoning using ...in reasoning, decomposition and ...
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Lightweight Semantic Web Oriented Reasoning in Prolog: Tableaux Inference for Description Logics. Thomas Herchenröder
... Benchmarking the System Implementing an algorithm in a specific way always demands on evaluation of its run- time behaviour. For a Description Logics reasoner this means selecting suitable test ontologies and queries, ...
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Errors of Reasoning, Naturalizing the Logic of Inference
... Woods continues by asking whether the causal regularity of our belief-forming system has normative significance. He re- fers to the convergence of the normative and the normal princi- ple, which we discussed earlier, as ...
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Pragmatic reasoning through semantic inference
... claim, due to how the models were defined. We defined the models in a procedural manner, first specifying how the listener L 0 interprets utterances, then how the speaker S 1 chooses utterances given L 0 , etc. The ...
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A fuzzy similarity inference method for fuzzy reasoning
... In this paper, we will extend the theory of similarity, and propose an axiomatic definition of a new similarity measure of two fuzzy sets, i.e. fuzzy similarity measure. Compared with the similarity measure, fuzzy ...
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Propositional Logic B: Inference, Reasoning, Proof
... • Forward Chaining and Backward chaining are sound and complete with Horn clauses and run linear in space and time.. Forward chaining (FC)[r] ...
Describing Reasoning Results with RVO, the Reasoning Violations Ontology
... of standardised ontology violation detection services into linked-data management tool-chains. Other relevant work in the field focuses on pitfalls, prevention of mis- takes and general ontology design and structural ...
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