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The fate of irrelevant information in analogical mapping

by C. Hunt Stilwell, Arthur B. Markman - In Proceedings of the 23rd Annual Conference of the Cognitive Science Society (pp. 988–993). Mahwah, NJ: Lawrence Erlbaum Associates , 2001
"... Research on analogical mapping has not yet focused on the fate of information about the base and target domains that is not relevant to the correspondence. We suggest that there are two methods for dealing with irrelevant information in analogies. Nonalignable objects are ignored, while irrelevant a ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Research on analogical mapping has not yet focused on the fate of information about the base and target domains that is not relevant to the correspondence. We suggest that there are two methods for dealing with irrelevant information in analogies. Nonalignable objects are ignored, while irrelevant

Temporal Resolution: Removing Irrelevant Information

by Clare Dixon - In Proceedings of International Workshop on Temporal Reasoning (TIME), Daytona Beach , 1997
"... The generation of too much information prohibits efficient resolution proof search in classical logics. Hence subsumption is used to discard redundant information and strategies have been developed to guide the proof search avoiding irrelevant information. The extension of the resolution method to t ..."
Abstract - Cited by 4 (4 self) - Add to MetaCart
The generation of too much information prohibits efficient resolution proof search in classical logics. Hence subsumption is used to discard redundant information and strategies have been developed to guide the proof search avoiding irrelevant information. The extension of the resolution method

How Irrelevant Information Influences Judgment

by Georgi Petkov, Penka Hristova, Boicho Kokinov
"... Abstract. This paper presents JUDGEMAP2 model for judgment based on DUAL cognitive architecture. Context is considered like the content of WM that comprises both some external elements from the surrounding environment and some internal memories elicited from the LTM. The paper focuses on the mechani ..."
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on the mechanisms of construction of the dynamic content of the WM. In JUDGEMAP2, the mechanism responsible for building the content of the WM (e.g. context) is a spreading activation mechanism. It leads to an unusual prediction – that irrelevant dimensions takes part in judgment. The data, obtained

Probability Estimation in face of Irrelevant Information

by Adam J. Grove, Daphne Koller
"... In this paper, we consider one aspect of the problem of applying decision theory to the design of agents that learn how to make decisions under uncertainty. This aspect concerns how an agent can estimate probabilities for the possible states of the world, given that it only makes limited observation ..."
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In this paper, we consider one aspect of the problem of applying decision theory to the design of agents that learn how to make decisions under uncertainty. This aspect concerns how an agent can estimate probabilities for the possible states of the world, given that it only makes limited observations before committing to a decision. We show that the naive application of statistical tools can be improved upon if the agent can determine which of his observations are truly relevant to the estimation problem at hand. We give a framework in which such determinations can be made, and define an estimation procedure to use them. Our framework also suggests several extensions, which show how additional knowledge can be used to improve the estimation procedure still further.

Irrelevant Features and the Subset Selection Problem

by George H. John, Ron Kohavi, Karl Pfleger - MACHINE LEARNING: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL , 1994
"... We address the problem of finding a subset of features that allows a supervised induction algorithm to induce small high-accuracy concepts. We examine notions of relevance and irrelevance, and show that the definitions used in the machine learning literature do not adequately partition the features ..."
Abstract - Cited by 741 (26 self) - Add to MetaCart
We address the problem of finding a subset of features that allows a supervised induction algorithm to induce small high-accuracy concepts. We examine notions of relevance and irrelevance, and show that the definitions used in the machine learning literature do not adequately partition the features

On Identifying and Reducing Irrelevant Information in Service Composition and Execution ⋆

by Hong-linh Truong, Andrea Maurino, Schahram Dustdar, Flavio De Paoli, Luca Panziera
"... Abstract. The increasing availability of massive information on the Web causes the need for information aggregation by filtering and ranking according to user’s goals. In the last years both industrial and academic researchers have investigated the way in which quality of services can be described, ..."
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, matched, composed and monitored for service selection and composition. However, very few of them have considered the problem of evaluating and certifying the quality of the provided service information to reduce irrelevant information for service consumers, which is crucial to improve the efficiency

Does Irrelevant Information Play a Role in Judgment

by Boicho Kokinov, Penka Petkova, Georgi Petkov - In: Proceedings of the 26th Annual Conference of the Cognitive Science Society , 2004
"... This paper presents an unusual prediction made by the DUAL-based model of judgment JUDGEMAP and its verification. The model is shortly presented as well as the simulation data obtained with it. These data predict that people will use the information on an irrelevant dimension when judging another di ..."
Abstract - Cited by 9 (6 self) - Add to MetaCart
This paper presents an unusual prediction made by the DUAL-based model of judgment JUDGEMAP and its verification. The model is shortly presented as well as the simulation data obtained with it. These data predict that people will use the information on an irrelevant dimension when judging another

B.: Influence of Irrelevant Information on Price Judgment

by Penka Hristova, Georgi Petkov, Boicho Kokinov - In: Proceedings of the International Conference on Cognitive Economics, NBU Press , 2005
"... The paper presents an experiment that tests the influence of an irrelevant to the task feature (namely the color of the fonts used) on the judgment of rent prices of various apartments. The rents were presented with either green or red digits that stand for the price of the apartments. Participants ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
The paper presents an experiment that tests the influence of an irrelevant to the task feature (namely the color of the fonts used) on the judgment of rent prices of various apartments. The rents were presented with either green or red digits that stand for the price of the apartments. Participants

An Age-decrement in the Ability to Ignore Irrelevant Information

by Patrick Rabbitt Ph. D
"... • ESPONSES made by human beings typically concern circumscribed aspects of their en-vironments, and so are based upon a small frac-tion of the information simultaneously made available by their sense organs. This selectivity is a condition of survival, since urgent responses may be slowed by the con ..."
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by the consideration of irrele-vant information. Irrelevant perceptual input can be ignored by selecting between modalities. We may look or listen (Broadbent & Gregory, 1961). Recent experiments have concerned selection between receptors in the same modality, particularly the ears (Broadbent, 1954; Treisman, 1961

Searching The Web With Server-Side Filtering Of Irrelevant Information

by R. Chandrasekar, Anoop Sarkar , 1997
"... Even experienced users of IR systems experience a high degree of frustration in searching for information on the World Wide Web, in part because current search engines concentrate on speed and coverage at the expense of precision. In this paper, we describe an approach to increase precision of retri ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
Even experienced users of IR systems experience a high degree of frustration in searching for information on the World Wide Web, in part because current search engines concentrate on speed and coverage at the expense of precision. In this paper, we describe an approach to increase precision
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