Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Logic and information
Flow diagrams, turing machines and languages with only two formation rules
Communications of the ACM
Principles of Programming Languages
Principles of Programming Languages
A Discipline of Programming
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Inside Case-Based Reasoning
First-Order Bayesian Reasoning
AI '98 Selected papers from the 11th Australian Joint Conference on Artificial Intelligence on Advanced Topics in Artificial Intelligence
Tractatus Logico Philosophicus (Routledge Classics) (Routledge Classics)
Tractatus Logico Philosophicus (Routledge Classics) (Routledge Classics)
Virtual planning rooms (ViPR): a 3D visualisation environment for hierarchical information
AUIC '06 Proceedings of the 7th Australasian User interface conference - Volume 50
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Towards ontology-based natural language processing
NLPXML '04 Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology
High performance reasoning with very large knowledge bases: a practical case study
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Editorial: BeAware!-Situation awareness, the ontology-driven way
Data & Knowledge Engineering
Hi-index | 0.00 |
This paper contends that demands on the data fusion community are beginning to exceed its historical roots in sensor fusion, by requiring greater development of automated situation and impact assessments and more appropriate integration with humans engaged in fusion activity. The paper offers a seven building block blueprint for the design of higher-level fusion systems. The first building block involves a deconstruction of the JDL model to apply it beyond machine based fusion. The second addresses machine representation for automated situation and impact assessments, while the third examines machine reasoning for automated situation and impact assessments. The fourth building block then reconstructs a unified framework for automated object, situation and impact assessments so as to accommodate both of the previous building blocks and the traditional approach to sensor fusion. Distributed data fusion constitutes the subsequent building block. The automated presentation of automated situation and impact assessments serves as the sixth building block, before the issue of human involvement in higher-level fusion systems is canvassed. Existing implementations of the various building blocks are referenced rather than discussed in any detail. The aim of the paper is to expose the overarching framework for these higher-level fusion systems without recourse to their considerable underlying complexity.