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Results 1 - 10
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611,507
On the acquisition of new declarative knowledge in amnesia
- Behavioral Neuroscience
, 1995
"... In 2 experiments, the acquisition of new declarative knowledge was examined in amnesic patients and in 7 groups of controls, with a study-only procedure that delayed testing until the conclusion of training. The study-only procedure was compared with a standard procedure in which study and test tria ..."
Abstract
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Cited by 9 (2 self)
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In 2 experiments, the acquisition of new declarative knowledge was examined in amnesic patients and in 7 groups of controls, with a study-only procedure that delayed testing until the conclusion of training. The study-only procedure was compared with a standard procedure in which study and test
An Environment for Exploring and Validating Declarative Knowledge
- In: Proc. Workshop on Logic Programming Environments at ILPS'95
, 1995
"... We discuss the extended LP environment of the project VEGA (knowledge validation and exploration by global analysis), a toolbox that supports the development and maintenance of declarative knowledge bases. The knowledge is represented in a declarative language that merges Horn logic with finite doma ..."
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Cited by 4 (4 self)
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We discuss the extended LP environment of the project VEGA (knowledge validation and exploration by global analysis), a toolbox that supports the development and maintenance of declarative knowledge bases. The knowledge is represented in a declarative language that merges Horn logic with finite
Declarative Knowledge Discovery in Industrial Databases
, 1997
"... Industry is increasingly overwhelmed by large-volume-data. For example, the pharmaceutical industry generates vast quantities of data both internally as a side-effect of screening tests and combinatorial chemistry, as well as externally from sources such as the human genome project. Industry is also ..."
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Cited by 1 (0 self)
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" (declarative or descriptive knowledge) rather than "knowing how" (procedural or prescriptive knowledge). Mathematical logic has always been the preferred representation for declarative knowledge and thus knowledge discovery techniques are required which generate logical formulae from data. Inductive
Declarative knowledge updates through agents
- In Proc. Symposium on Adaptive Agents and Multi-Agent Systems (AISB'01
, 2001
"... Cooperative, intelligent agents often share a common knowledge which, in the presence of learning agents, is likely to be subject to change. In this paper, we describe a method to construct specialized agents that incorporate new information into a given body of knowledge. These update agents are ba ..."
Abstract
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Cited by 2 (2 self)
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Cooperative, intelligent agents often share a common knowledge which, in the presence of learning agents, is likely to be subject to change. In this paper, we describe a method to construct specialized agents that incorporate new information into a given body of knowledge. These update agents
Integrating Declarative Knowledge in Hierarchical Clustering Tasks
- Proceedings of the International Symposium on Intelligent Data Analysis
, 1999
"... The capability of making use of existing prior knowledge is an important challenge for Knowledge Discovery tasks. As an unsupervised learning task, clustering appears to be one of the tasks that more benefits might obtain from prior knowledge. In this paper, we propose a method for providing declara ..."
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Cited by 19 (0 self)
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declarative prior knowledge to a hierarchical clustering system stressing the interactive component. Preliminary results suggest that declarative knowledge is a powerful bias in order to improve the quality of clustering in domains were the internal biases of the system are inappropriate
The Knowledge Level
- In International Conference on Software Engineering
, 1982
"... The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying of this document without permission of its author may be prohibited by law. ..."
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Cited by 871 (1 self)
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The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying of this document without permission of its author may be prohibited by law.
Comparative Study of Three Declarative Knowledge Representation Techniques
"... Abstract – In artificial intelligence to solve the problem user require a knowledge base, consist all information related to problem domain and a method for manipulating the knowledge for finding the solution. For better result knowledge should be organized in better way. Hence, a structure for that ..."
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Cited by 5 (0 self)
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for that knowledge is required. The knowledge representation techniques are divided in to two categories declarative and procedural. The main objective of this paper is to present the comparative study between three declarative knowledge representations techniques namely predicate logic, semantic net and frames.
Combining Procedural and Declarative Knowledge in a Graphical Architecture
"... A prototypical cognitive architecture defines a memory architecture embodying forms of both procedural and declarative memory, plus their interaction. Reengineering such a dual architecture on a common foundation of graphical models enables a better understanding of both the substantial commonalitie ..."
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Cited by 7 (6 self)
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; declarative; semantic; episodic; rules; constraints. The distinction between procedural and declarative knowledge plays a central role in many cognitive
Decomposition of Declarative Knowledge Bases with External Functions ∗
"... We present a method to decompose a declarative knowledge base, given by a logic program under Answer Set Semantics with access to external sources. It overcomes the ineffectiveness of current methods due to a lack of structural information about these sources, viewed as black boxes, by exploiting in ..."
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Cited by 6 (6 self)
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We present a method to decompose a declarative knowledge base, given by a logic program under Answer Set Semantics with access to external sources. It overcomes the ineffectiveness of current methods due to a lack of structural information about these sources, viewed as black boxes, by exploiting
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