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Hits 101 – 120 of 1.431

101
Assessing IBME with Summative and Formative Purpose
In: 13th International Congress on Mathematical Education (2016) (2016)
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102
Identifying Problem Statements in Scientific Text
Heffernan, Kevin; Teufel, Simone. - : University of Potsdam, 2016. : http://www.ling.uni-potsdam.de/comma2016/, 2016. : Workshop on Foundations of the Language of Argumentation (in conjunction with COMMA), 2016
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103
The Teacher’s Role in Problem-solving: A Study of Elementary Mathematics Programs from Teachers’ Perspectives
Yuan, Sophia. - 2016
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104
Goal-based reasoning for argumentation
Walton, Douglas N.. - New York : Cambridge University Press, 2015
BLLDB
UB Frankfurt Linguistik
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105
From formal concepts to analogical complexes
In: The 12th International Conference on Concept Lattices and their Applications ; CLA 2015 ; https://hal.inria.fr/hal-01198943 ; CLA 2015, LIMOS, CNRS et Université Blaise Pascal, Oct 2015, Clermont-Ferrand, France. pp.12 ; http://cla2015.isima.fr/ (2015)
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106
Usage-based Grammar Learning as Insight Problem Solving
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107
Twist your logic with TouIST
In: Proceedings of the 4th International Conference on Tools for Teaching Logic ; 4th International Congress on Tools for Teaching Logic (TTL 2015) ; https://hal.archives-ouvertes.fr/hal-01671317 ; 4th International Congress on Tools for Teaching Logic (TTL 2015), IRISA: Institut de Recherche en Informatique et Systèmes Aléatoires; INRIA, Jun 2015, Rennes, France. pp.1-8 ; http://ttl2015.irisa.fr/ (2015)
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108
Characterizing Behavioral and Brain Changes Associated with Practicing Reasoning Skills.
In: PloS one, vol 10, iss 9 (2015)
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109
Working Memory Components as Predictors of Word Problem Solving: Does Rapid Automatized Naming Speed Mediate the Relationship?
Fung, Wenson Wen-Yuan. - : eScholarship, University of California, 2015
In: Fung, Wenson Wen-Yuan. (2015). Working Memory Components as Predictors of Word Problem Solving: Does Rapid Automatized Naming Speed Mediate the Relationship?. UC Riverside: Education. Retrieved from: http://www.escholarship.org/uc/item/32g2068d (2015)
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110
Conceptual structure and the procedural affordances of rational numbers: relational reasoning with fractions and decimals.
In: Journal of experimental psychology. General, vol 144, iss 1 (2015)
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111
Modeling discrete and continuous entities with fractions and decimals.
In: Journal of experimental psychology. Applied, vol 21, iss 1 (2015)
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112
Multilingual interfaces for parallel coupling in multiphysics and multiscale systems
In: Proceedings of ICCSA 2007 ; http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/iccsa/2007/2945/00/2945toc.xml (2015)
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113
A multilingual programming model for coupled systems
In: International Journal for Multiscale Computational Engineering (2015)
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114
Extracting significant phrases from text
In: Proceedings of AINAW 07 (2015)
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115
A multilingual programming model for coupled systems
In: International Journal for Multiscale Computational Engineering (2015)
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116
Multilingual interfaces for parallel coupling in multiphysics and multiscale systems
In: Proceedings of ICCSA 2007 ; http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/iccsa/2007/2945/00/2945toc.xml (2015)
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117
Universal intelligence: A definition of machine intelligence
In: Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences (2015)
Abstract: A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: we take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.
Keyword: Artificial systems; Complexity theory; Definitions; Expert systems; Intelligence; Intelligence tests; Intelligent systems; Keywords: Computational complexity; Learning systems; Measures; Problem solving AIXI; Theoretical foundations; Turing test
URL: https://doi.org/10.1007/s11023-007-9079-x
http://hdl.handle.net/1885/50797
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118
Universal intelligence: A definition of machine intelligence
In: Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences (2015)
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119
Extracting significant phrases from text
In: Proceedings of AINAW 07 (2015)
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120
The process secondary administrators use to implement twenty‐first century learning skills in secondary schools ...
Pearson, Synee D.. - : University of Southern California Digital Library (USC.DL), 2015
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