Intelligent nodes for course of actions analysis-interpretability

Author

Dawidowicz, Edward

Author_Institution

Res. & Dev. Eng. Center, US Army, Fort Monmouth, NJ, USA

fYear

2003

fDate

30 Sept.-4 Oct. 2003

Firstpage

9

Lastpage

12

Abstract

The interpretability faculty is a vital element within the framework of intelligent systems [Meystel, A. et al., (2002)]. Central to planning, course of action (COA) and course of action analysis (COAA) emerge in the process of interpretability of heterogeneous information. The purpose is to discuss the interpretability mechanism that can be employed by computing machines to promote intelligent behavior.

Keywords

cognitive systems; entity-relationship modelling; formal logic; multi-agent systems; natural languages; semantic networks; COA; COAA; cognitive systems; course of action; course of action analysis; distributed computing; dynamic planning; entity-relational networks; intelligent systems; interpretability; knowledge representation; knowledge-intensive; multidimensional modeling; multiresolutional modeling; natural language; semantic networks; situational calculus; Calculus; Computational intelligence; Information analysis; Intelligent networks; Intelligent sensors; Intelligent systems; Logic devices; Machine intelligence; Process planning; Research and development;

fLanguage

English

Publisher

ieee

Conference_Titel

Integration of Knowledge Intensive Multi-Agent Systems, 2003. International Conference on

Print_ISBN

0-7803-7958-6

Type

conf

DOI

10.1109/KIMAS.2003.1245013

Filename

1245013