This research examines the phenomenon of interruptions and suspensions in decision making. It is proposed that an interruption may lead to a more top-down goaldirected mode of information processing, resulting in greater attention to the desirability rather than feasibility of options. Four studies found that when a decision is interrupted and later resumed, people are more likely to favor a hi...

This study calculates the selectional preference strength between transitive verbs and their co-occurring objects, and thereby investigates how much they are co-related to each other in Korean. The selectional preference strength is automatically measured in a bottom-up way, and the outcomes are evaluated in comparison with a manually constructed resource that indicates which verb takes which c...

Bottom-up cortical representations of visual conspicuity interact with top-down internal cognitive models of the external world to control eye movements, EMs, and the closely linked attention-shift mechanisms; to thus achieve visual recognition. Conspicuity operators implemented with image processing algorithms, IPAs, can discriminate human Regions-of-Interest, hROIs, the loci of eye fixations,...

Extended top-down tree transducers (transducteurs g en eralis es descendants [Arnold, Dauchet: Bi-transductions de forêts. ICALP'76. Edinburgh University Press. 1976]) received renewed interest in the eld of Natural Language Processing. Here those transducers are extensively and systematically studied. Their main properties are identi ed and their relation to classical top-down tree transducers...

Models of discourse and narration elaborated within the classical compositional framework have been characterized as bottom-up models, according to which discourse analysis proceeds incrementally, from phrase and sentence local meaning to discourse global meaning. In this paper we will argue against these models. Assuming as a case study the issue of discourse coherence, we suggest that the ass...

Mimesis theory is one of the primitive skill of imitative learning which is regarded as an origin of human intelligence because imitation is fundamental func tion for communication and symbol manipulation When the mimesis is adopted as learning method for humanoids loads for designing full body behavior would be decrease because bottom up learning approaches from robot side and top down teachin...

Scene interpretation systems are often conceived as extensions of low-level image analysis with bottom-up processing for high-level interpretations. In this paper we show how a generic high-level interpretation system can generate hypotheses and start top-down analysis. This allows for spatially focussed and specifically parametrised image analysis steps. Experimental results of the recognition...

In this paper, we endorse and advance an emerging bottomup approach to game studies that utilizes techniques from natural language processing. Our contribution is threefold: we present the first complete review of the growing body of work through which this methodology has been innovated; we present a latent semantic analysis model that constitutes the first application of this fundamental bott...

Sampling-based methods for uncertainty and sensitivity analysis are reviewed. The following topics are considered: (i) definition of probability distributions to characterize epistemic uncertainty in analysis inputs, (ii) generation of samples from uncertain analysis inputs, (iii) propagation of sampled inputs through an analysis, (iv) presentation of uncertainty analysis results, and (v) deter...

In this paper, we describe a parallel implementation of chart-based parser which performs robustness to analyse grammatical ill-formed inputs in loosely-coupled environment. The parser is composed of parallel bottom-up process which parses the inputs under the grammar rules and parallel top-down process which tries to recover the existing ill-formedness when the bottom-up process fails to nd a ...