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Surprise

About: Surprise is a research topic. Over the lifetime, 4371 publications have been published within this topic receiving 99386 citations.


Papers
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01 Jan 2014
TL;DR: A typology of expectations relevant to computational creativity evaluation is developed and, through it, a series of situations where expectations would be essential to the characterisation of creativity are described.
Abstract: Novelty, surprise and transformation of the domain have each been raised – alone or in combination – as accompaniments to value in the determination of creativity. Spirited debate has surrounded the role of each factor and their relationships to each other. This paper suggests a way by which these three notions can be compared and contrasted within a single conceptual framework, by describing each as a kind of unexpectedness. Using this framing we argue that current computational models of novelty, concerned primarily with the originality of an artefact, are insufficiently broad to capture creativity, and that other kinds of expectation – whatever the terminology used to refer to them – should also be considered. We develop a typology of expectations relevant to computational creativity evaluation and, through it describe a series of situations where expectations would be essential to the characterisation of creativity.

25 citations

Journal ArticleDOI
TL;DR: The authors examines the failure to anticipate the terrorist attacks of September 11 from four perspectives: cognitive biases of government analysts and policy makers concerned with terrorism, organizational pathologies of key bureaucracies such as the CIA and the FBI, political and strategic errors of senior government officials, and the unusual nature of al Qaeda.
Abstract: ▪ Abstract This essay examines the failure to anticipate the terrorist attacks of September 11 from four perspectives: cognitive biases of government analysts and policy makers concerned with terrorism, organizational pathologies of key bureaucracies such as the CIA and the FBI, political and strategic errors of senior government officials, and the unusual nature of al Qaeda. Drawing on past studies of strategic surprise, it argues that agencies such as the CIA at times did impressive work against the terrorist organization, but that in general the U.S. government, and the U.S. intelligence community in particular, lacked a coherent approach for triumphing over the skilled terrorists it faced. In hindsight, it is clear that numerous mistakes at all levels of the U.S. government and the broader U.S. analytic community made strategic surprise more likely.

25 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate perceived inconsistencies between positive and negative information along the dimensions of warmth and competence and find no evidence for valence asymmetries in expectancy-violations regardless of whether the impression dimension involved warmth or competence.

25 citations

Journal ArticleDOI
TL;DR: In Denmark, successive Danish governments have succeeded in maintaining the highest level of public support among the nations contributing to the NATO mission in Afghanistan, while the United States failed to gain any significant support as mentioned in this paper.
Abstract: Much to their own surprise, successive Danish governments have succeeded in maintaining the highest level of public support among the nations contributing to the NATO mission in Afghanistan, while ...

25 citations

Proceedings Article
27 Jul 2014
TL;DR: This work instantiates approaches for situated agents to detect surprises, discriminate among different forms of surprise, and hypothesize new models for the unknown events that surprised them in a new goal reasoning agent (named FOOLMETWICE).
Abstract: Agents with incomplete environment models are likely to be surprised, and this represents an opportunity to learn. We investigate approaches for situated agents to detect surprises, discriminate among different forms of surprise, and hypothesize new models for the unknown events that surprised them. We instantiate these approaches in a new goal reasoning agent (named FOOLMETWICE), investigate its performance in simulation studies, and report that it produces plans with significantly reduced execution cost in comparison to not learning models for surprising events.

25 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023675
20221,546
2021216
2020237
2019239
2018226