scholarly journals Modification and Default Inheritance

2021 ◽  
pp. 311-327
Author(s):  
Corina Strößner ◽  
Annika Schuster ◽  
Gerhard Schurz
Keyword(s):  
Experimental Evidence ◽  
One Dimension ◽  
Explorative Study ◽  
Model Based ◽  
Modification Effect

AbstractModification usually decreases the judged likelihood of typicality statements. People judge “Old coyotes howl” as less likely than just “Coyotes howl”. This paper addresses this so-called modification effect. In order to analyse the effect, we propose an extended modification model based on the selective modification model by Smith et al. (1988) and Barsalou’s (1992) frames. In this model we introduce cross-attributional constraintsModification effect, relevant modification that explain how a change in one dimension leads to an alteration of another attribute, especially if the modifierModification is not typical. Finally, we discuss data from Connolly et al. (2007) and present new experimental evidence from an explorative study.

scholarly journals One Dimension Model Based Filter for Separation of Time-lapse Microgravity Anomaly

2015 ◽  
Vol 16 (1) ◽  
pp. 29
Author(s):  
Suhayat Minardi ◽  
Teguh Ardianto
Keyword(s):  
Performance Test ◽  
Time Lapse ◽  
Digital Model ◽  
One Dimension ◽  
Geological Modeling ◽  
Microsoft Excel ◽  
Model Based ◽  
Modeling Calculation ◽  
Different Depths ◽  
And Performance

The research has a goal to develop a model-based filter to separate the time lapse microgravity anomali caused by the 3 pieces of the source of anomalies with different depths. The activities which included in this research are: geological modeling, calculation of time lapse microgravity responses caused by several sources, designing of digital model based filter, application of the filter to separate synthetic time lapse microgravity anomali data, and performance test of the filter. Designed model is multi aquifer sistem with homogeny isotropic properties at different depth. Equipment of this research is a unit computer with MATLAB Version 7.11.0.584 (R2010b) and Microsoft Excel 2007 software. The designed filter can separate time lapse microgravity anomali based on its sources successfully with error less than 5%.Keywords: Filter, synthetic, time lapse microgravity anomaly 

Do Intramural Virtual Electrodes Facilitate Successful Defibrillation? Model-Based Analysis of Experimental Evidence

2006 ◽  
Vol 17 (3) ◽  
pp. 305-311 ◽  
Author(s):  
DARREN A. HOOKS ◽  
MARK L. TREW ◽  
BRUCE H. SMAILL ◽  
ANDREW J. PULLAN
Keyword(s):  
Experimental Evidence ◽  
Model Based ◽  
Virtual Electrodes ◽  
Model Based Analysis

scholarly journals OPENNESS LEADS TO OPINION STABILITY AND NARROWNESS TO VOLATILITY

2010 ◽  
Vol 13 (03) ◽  
pp. 405-423 ◽  
Author(s):  
SYLVIE HUET ◽  
GUILLAUME DEFFUANT
Keyword(s):  
Dynamic Model ◽  
The Other ◽  
One Dimension ◽  
Threshold Values ◽  
Stylized Facts ◽  
Model Based ◽  
Rejection Threshold ◽  
Main Dimension ◽  
Level Of Agreement ◽  
Opinion Dynamic

We propose a new opinion dynamic model based on the experiments and results of Wood et al. (1996). We consider pairs of individuals discussing on two attitudinal dimensions, and we suppose that one dimension is important, the other secondary. The dynamics are mainly ruled by the level of agreement on the main dimension. If two individuals are close on the main dimension, then they attract each other on the main and on the secondary dimensions, whatever their disagreement on the secondary dimension. If they are far from each other on the main dimension, then too much proximity on the secondary dimension is uncomfortable, and generates rejection on this dimension. The proximity is defined by comparing the opinion distance with a threshold called attraction threshold on the main dimension and rejection threshold on the secondary dimension. With such dynamics, a population with opinions initially uniformly drawn evolves to a set of clusters, inside which secondary opinions fluctuate more or less depending on threshold values. We observe that a low attraction threshold favors fluctuations on the secondary dimension, especially when the rejection threshold is high. The opinion evolutions of the model can be related to some stylized facts.

scholarly journals A Novel SAT-Based Approach to Model Based Diagnosis

2014 ◽  
Vol 51 ◽  
pp. 377-411 ◽  
Author(s):  
A. Metodi ◽  
R. Stern ◽  
M. Kalech ◽  
M. Codish
Keyword(s):  
Experimental Evidence ◽  
State Of The Art ◽  
The State ◽  
Minimal Cardinality ◽  
Model Based ◽  
First Time ◽  
The Way

This paper introduces a novel encoding of Model Based Diagnosis (MBD) to Boolean Satisfaction (SAT) focusing on minimal cardinality diagnosis. The encoding is based on a combination of sophisticated MBD preprocessing algorithms and the application of a SAT compiler which optimizes the encoding to provide more succinct CNF representations than obtained with previous works. Experimental evidence indicates that our approach is superior to all published algorithms for minimal cardinality MBD. In particular, we can determine, for the first time, minimal cardinality diagnoses for the entire standard ISCAS-85 and 74XXX benchmarks. Our results open the way to improve the state-of-the-art on a range of similar MBD problems.

Developmental evidence for working memory as activated long-term memory

2003 ◽  
Vol 26 (6) ◽  
pp. 750-750
Author(s):  
Sergio Morra
Keyword(s):  
Working Memory ◽  
Experimental Evidence ◽  
Long Term Memory ◽  
Order Information ◽  
Term Memory ◽  
Attentional Resources ◽  
Model Based ◽  
Subvocal Rehearsal ◽  
Remarkable Agreement

There is remarkable agreement between Ruchkin et al.'s psychophysiological views and my own model, based on developmental-experimental evidence, of working memory as activated long-term memory (LTM). I construe subvocal rehearsal as an operative scheme that maintains order information and demands attentional resources. Encoding and retrieving operations also demand attention. Another share of resources is used for keeping activated specific LTM representations.

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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