Representing COA with Probabilistic Ontologies
Abstract
In modern day operations, planning has been an increasingly complex activity. This is especially true in civil-military scenarios, usually involving numerous and diverse actors as well as intertwining requirements that limit the solution space in nontrivial ways. Under these circumstances, decision support systems are an essential tool that can also become a liability if not properly devised or employed, and one of the critical parts of the planning process is the definition of Course of Action (COA). Although this has been widely recognized by the planning and Decision Support Systems communities, there has been little progress in designing a comprehensive methodology for COA representation that supports the diverse aspects of the Command and Control cycle. For instance, formally capturing command intent in a way that allows for automated generation of alternative COAs is still an open research topic. This paper proposes an approach for effective COA representation by means of a probabilistic ontology, as a first step towards the goal of automating the operational planning process. The current research is focused in the planning process of a Joint Force Air Component Command.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2011
- Accession Number
- ADA547097
Entities
People
- Henrique C. Marques
- Jose M. De Oliveira
- Paulo C. Da Costa