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Table 1 Formal knowledge representation for entity knowledge object.

in Instructional Transaction Theory: An Instructional Design Model Based . . .
by M. David Merrill 1999
"... In PAGE 5: ... A knowledge object can identify itself by displaying the resources linked to its name, description, portrayal, portrayal location or demonstration. Table1 identifies the elements of an entity knowledge object. Table 1 Formal knowledge representation for entity knowledge object.... ..."
Cited by 6

Table I. Examples of knowledge and their formal representations in the ADAPT model. Type of Knowledge Abbreviated Propositional Representation

in A Knowledge Scoring Engine (KSE) for Real-Time Knowledge Base Generation Used in Intelligent Tutoring Systems
by Mark T. Jodlowski, Stephanie M. Doane

Table 6. Comprehensibility of SHRUTI knowledge base. Comprehensibility of the SHRUTI-knowledge representation formalism is the number of total concepts, sub- concepts, facts, rules, predicates, arguments per consequents, arguments per an- tecedents, distinct entities used in the instantiated predicates. Data set Cascade Pruned-Cascade

in Inductive Knowledge Acquisition Using Feedforward Neural Networks With Rule-Extraction
by Richi Nayak, Joachim Diederich, Frederic Maire

Table 1. Knowledge-level speci cation of ACL primitives Agent primitives Knowledge-level behaviour

in Intelligent Web Servers as Agents
by Mauro Gaspari, Nicola Dragoni, Davide Guidi
"... In PAGE 9: ... The agents has no constraints on the implementation language or knowledge representation formalisms it adopts, but it reacts to a well de ned protocol based on the standard primitives of an agent com- munication language. The primitives of this ACL [5] can be divided into four categories as shown in Table1 . Contents based services requests are realized as one-to-many primitives: whenever an agent needs a given service which solve a task T it can execute these multicast primitives.... ..."

Table 1: Approaches to the representation of relational knowledge. Relation term Bindings

in Where Do Relations Come From?
by Michael Gasser, Eliana Colunga 1998
"... In PAGE 4: ...1 This localist approach is illustrated in Figure 6. Table1 summarizes these various approaches to the representation of relational knowl- edge. All of these approaches assume that the speci cation of how the objects in a relation 1Tesar and Smolensky (1994) have argued that the dynamic binding approach is formally reducible to... ..."
Cited by 10

Table 1. Classification of the representation formalism.

in Case-Based Plan Adaptation: An Analysis and Review
by Héctor Muñoz-avila, Michael T. Cox
"... In PAGE 11: ... Planning graphs have been shown to be more efficient than other forms of STRIPS planning but encoding domain-specific control rules into graphs is difficult. As shown in Table1 , CBP systems have been proposed using each of these planning techniques and even combinations of those techniques such as in Paris and Priar. This table lists a new case-based planner named CPG (Gerevi amp; Serina, 2000) that combines both transformation and memory search.... ..."

Table 1. Excerpt from the formalized knowledge.

in Preface
by Patrik Boart, Patrik Boart, Patrik Boart, Patrik Boart 2005
"... In PAGE 17: ....2.2 Capturing life cycle intent A wish to allow modification and iteration until all product life-cycle specifications are fully satisfied has been addressed in the area of capturing life cycle intent, Figure 1. Numerous efforts have been done to support different disciplines where many knowledge-modelling techniques have been developed, Table1 . The main idea has been to show how these methods can reduce the lead-time of the product development process and increase the quality of the processes.... In PAGE 17: ... [21], 2004 Agents and case based reasoning (CBR) Induction motors Product Support Diagnostics Yang et al. [22], 2004 Table1 . Knowledge Modelling Techniques.... In PAGE 18: ... Support is needed to help participating teams cooperate and achieve a balanced view before design decisions. With the help of modelling techniques presented in Table1 , different support system are developed to assist engineers perform their tasks. A number of Knowledge Based System (KBS) definitions exist; see Table 2.... In PAGE 23: ...as the knowledge exists in a number of disciplines from business to maintenance activities. A number of modelling techniques, Table1 , have been used to capture, support or automate different engineering activities. No technique will capture all aspects within the engineering domain.... In PAGE 39: ... [19], 2004 Agents and case based reasoning (CBR) Induction motors Product Support Diagnostics Yang et al. [20], 2004 Table1 . Some Knowledge Modeling Techniques.... In PAGE 39: ... Some Knowledge Modeling Techniques. All the knowledge modeling techniques presented in Table1 have different advantages depending on what knowledge is of interest to capture. Design Rationale, for example, captures decisions made during design so as to not lose the knowledge behind how and why certain decisions were made.... In PAGE 40: ... Definitions on Knowledge Based Systems. 4 Knowledge Enabled Engineering Approach Methods exist to capture and model knowledge, all with their advantages and disadvantages as seen in Table1 . Regardless what system/method is chosen, none will be the best in solving all problems.... In PAGE 60: ...3 Knowledge formalization The acquired knowledge was formalized through a company format used for building object oriented product models. Table1 shows an example from the formalized knowledge corresponding to the acquired knowledge in section 3.2.... ..."

Table 1: Tourism domain knowledge as formal context

in Learning concept hierarchies from text corpora using formal concept analysis
by Andreas Hotho, Steffen Staab 2005
"... In PAGE 3: ... In addition, we know that we can join an excursion or a trip. We can now represent the formal context corresponding to this knowledge as a matrix (see Table1 ). The lattice produced by FCA is depicted in Figure 1 (left)2.... In PAGE 6: ...s http://www.all-in-all.de, a web page containing information about the history, accommodation facilities as well as activities of Mecklenburg Vorpommern, a region in northeast Germany. We only extracted verb/object pairs for the terms in Table1 and used the conditional probability to weight the significance of the pairs. For excursion, no dependencies were extracted and therefore it was not considered when computing the lattice.... ..."
Cited by 21

Table 1 : List of knowledge formalization actions in environment

in Integration of the Environment in the Product Design Process : Proposal for a Learning Driving Tool
by Loïc Jacqueson, Dominique Millet, Ameziane Aoussat

Table 1. Tourism domain knowledge as formal context

in Comparing Conceptual, Divisive and Agglomerative Clustering for Learning Taxonomies from Text
by Philipp Cimiano, Andreas Hotho, Steffen Staab
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