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A system for generic knowledge representation. Representing Knowledge: Symbols, Collections and Being. Representing Knowledge: Actions and Modals. Representing Knowledge: Natural Language Modeling. Representing Knowledge: Interrogatives and Unknowns. Building a Knowledge Base. A core problem in understanding cognition both real and artificial is to find encoding schemes for generic knowledge. Knowledge about events ( episodic knowledge. And knowledge about how to get things done ( procedural knowledge.

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Main Page - GBAWiki | wiki.genericknowledge.net Reviews

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A system for generic knowledge representation. Representing Knowledge: Symbols, Collections and Being. Representing Knowledge: Actions and Modals. Representing Knowledge: Natural Language Modeling. Representing Knowledge: Interrogatives and Unknowns. Building a Knowledge Base. A core problem in understanding cognition both real and artificial is to find encoding schemes for generic knowledge. Knowledge about events ( episodic knowledge. And knowledge about how to get things done ( procedural knowledge.

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1 Main Page

2 Bibliography

3 Building a Knowledge Base

4 Glossary

5 Introduction

6 Natural Language Processing

7 Representing Knowledge: Actions and Modals

8 Representing Knowledge: Interrogatives and Unknowns

9 Representing Knowledge: Natural Language Modeling

10 Representing Knowledge: Symbols

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Main Page - GBAWiki | wiki.genericknowledge.net Reviews

https://wiki.genericknowledge.net

A system for generic knowledge representation. Representing Knowledge: Symbols, Collections and Being. Representing Knowledge: Actions and Modals. Representing Knowledge: Natural Language Modeling. Representing Knowledge: Interrogatives and Unknowns. Building a Knowledge Base. A core problem in understanding cognition both real and artificial is to find encoding schemes for generic knowledge. Knowledge about events ( episodic knowledge. And knowledge about how to get things done ( procedural knowledge.

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wiki.genericknowledge.net

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Bibliography - GBAWiki

http://wiki.genericknowledge.net/index.php/Bibliography

Edward A. Bender, Mathematical Methods in Artificial Intelligence. IEEE Computer Society Press, Los Alamitos, CA (1996). Ronald J. Brachman, Hector J. Levesque, Knowledge Representation and Reasoning. Elsevier, San Francisco, CA (2004). Reinhard Diestel, Graduate Tests in Mathematics: Graph Theory. Springer, New York, NY (1997,2000). Jonathan L. Gross, Jay Yellen, Graph Theory and Its Applications. Chapman and Hall/CRC, Boca Raton, FL (2006). Princeton University Press, Princeton, NJ (1998). Oxford Unive...

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PoS - GBAWiki

http://wiki.genericknowledge.net/index.php/PoS

PoS Data Type Definition. PoS nodes may have only one input, the Word. PoS Data Type Definition. Retrieved from " http:/ wiki.genericknowledge.net/index.php/PoS. Log in / create account. Symbols, Collections and Being. Building a Knowledge Base. This page was last modified 15:31, 1 July 2010. This page has been accessed 5,919 times. Content is available under GNU Free Documentation License 1.2.

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Working with Networks - GBAWiki

http://wiki.genericknowledge.net/index.php/Working_with_Networks

The Core Networks and the Knowledge Hierarchy. KB0: Language Specific links to SysNet. Distributing Networks across Multiple Nodes. A object of the TokenAlgorithm class that guides the behavior of the Token. The direction of movement (up or down). Points to the Element that the Token in traversing. Points to the last Element the Token traversed. A listener that the Token reports to. The location of a docked token wrt to the Element at which it is docked. The DFA state of the token within the algorithm.

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The Elements - GBAWiki

http://wiki.genericknowledge.net/index.php/The_Elements

GBA uses components called Element. S to construct knowledge subtrees. Of the different types of Elements, three most commonly act as terminals (leaves) in subtrees: Symbol. S form the backbone of subtrees. Other Elements play a role in the Natural Language interface: PoSs. S Finally Sigma Node. S are used in network transformation operations. This article describes in detail the different types of Elements used by GBA starting with the top level element Element. Functions on Active Elements. A pointer t...

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CrispSet - GBAWiki

http://wiki.genericknowledge.net/index.php/CrispSet

Crisp sets are the equivalent traditional mathematical (non-fuzzy) set. A, b, c] denotes a crisp set. True if all elements in c. Are found in c. And all the elements in c. Are found in c. Is a proper subset c. True if all elements in c. Are found in c. But not all the elements in c. Are found in c. Is a subset c. True if all elements if c. Cardinality of CrispSet C. The Crisp similarity function is identical to the Jaccard Index for two crisp sets J(A,B). Log in / create account. Building a Knowledge Base.

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A system for generic knowledge representation. Representing Knowledge: Symbols, Collections and Being. Representing Knowledge: Actions and Modals. Representing Knowledge: Natural Language Modeling. Representing Knowledge: Interrogatives and Unknowns. Building a Knowledge Base. A core problem in understanding cognition both real and artificial is to find encoding schemes for generic knowledge. Knowledge about events ( episodic knowledge. And knowledge about how to get things done ( procedural knowledge.

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