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SSRN Electronic Journal, 1998
People are often reluctant to make decisions by calculating the costs and benefits of alternative courses of action in particular cases. Knowing, in addition, that they may err, people and institutions often resort to second order strategies for reducing the burdens of, and risk of error in, first order decisions. They make a second order decision when
Edna Ullmann-Margalit, Cass R. Sunstein
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People are often reluctant to make decisions by calculating the costs and benefits of alternative courses of action in particular cases. Knowing, in addition, that they may err, people and institutions often resort to second order strategies for reducing the burdens of, and risk of error in, first order decisions. They make a second order decision when
Edna Ullmann-Margalit, Cass R. Sunstein
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Second-order productivity, second-order payoffs, and the Shapley value
Discrete Applied Mathematics, 2021Abstract We introduce the concepts of the players’ second-order productivities in cooperative games with transferable utility (TU games) and of the players’ second-order payoffs for one-point solutions for TU games. Second-order productivities are conceptualized as second-order marginal contributions, that is, how one player affects another player’s ...
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European Journal of Political Research, 1997
Abstract The composition of the directly elected European Parliament does not precisely reflect the ‘real’ balance of political forces in the European Community. As long as the national political systems decide most of what there is to be decided politically, and everything really important, European elections are additional national ...
Pippa Norris, Karlheinz Reif
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Abstract The composition of the directly elected European Parliament does not precisely reflect the ‘real’ balance of political forces in the European Community. As long as the national political systems decide most of what there is to be decided politically, and everything really important, European elections are additional national ...
Pippa Norris, Karlheinz Reif
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Second-order variational analysis in second-order cone programming
Mathematical Programming, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hang N.T.V. +2 more
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2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005
Second-order generalization is usually of a more abstract nature than standard generalization, as unseen stimuli may be classified by some higher order rule. The research presents a new theory, which utilises information inheritance in order to perform second-order generalization.
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Second-order generalization is usually of a more abstract nature than standard generalization, as unseen stimuli may be classified by some higher order rule. The research presents a new theory, which utilises information inheritance in order to perform second-order generalization.
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2013
In this paper we present second-order servification, a business process modeling paradigm for variability. Key to this paradigm is to consider services and even whole subprocesses as ‘resources’ of a (second-order) business process, which can be created, selected, and moved around just like data.
Johannes Neubauer, Bernhard Steffen
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In this paper we present second-order servification, a business process modeling paradigm for variability. Key to this paradigm is to consider services and even whole subprocesses as ‘resources’ of a (second-order) business process, which can be created, selected, and moved around just like data.
Johannes Neubauer, Bernhard Steffen
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Jurisprudence, 2015
Ronald Dworkin has, over the years, put himself forward as the defender of a strong anti-metaphysical position that resists the possibility of a neutral, Archimedean point of view from which substa...
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Ronald Dworkin has, over the years, put himself forward as the defender of a strong anti-metaphysical position that resists the possibility of a neutral, Archimedean point of view from which substa...
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SECOND-ORDER DECISION ANALYSIS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001The purpose of this work is to provide theoretical foundations of, as well as some computational aspects on, a theory for analysing decisions under risk, when the available information is vague and imprecise. Many approaches to model unprecise information, e.g., by using interval methods, have prevailed.
Love Ekenberg, Johan Thorbiörnson
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Computational Intelligence, 2000
Similarity in contextual behavior between words is considered a source of ‘lexical cohesion,’ which is otherwise hard to measure or quantify. Such contextual similarity is used by an implementation for text segmentation, the VecTile system, which uses precompiled vector representations of words to produce similarity curves over texts.
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Similarity in contextual behavior between words is considered a source of ‘lexical cohesion,’ which is otherwise hard to measure or quantify. Such contextual similarity is used by an implementation for text segmentation, the VecTile system, which uses precompiled vector representations of words to produce similarity curves over texts.
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Second Order Spiking Perceptron
2009 WRI Global Congress on Intelligent Systems, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xuyan Xiang +2 more
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