Projects in artificial intelligence/knowledge-based systems at ALPHATECH currently fall into three groups:

Knowledge-based Information Fusion.

Employ probabilistic knowledge-based methods (object-oriented Bayesian Networks, Dynamic Bayesian Networks/Hidden Markov Models) to represent, recognize and predict activities of ground forces from time-sequenced sensor data.

• Knowledge-Based Support for Time Critical Targeting
• Intelligent Multi-Agent Hybrid System Control Technology
• Threat Prediction Fusion
• A Knowledge-Based Indications and Warning Toolkit for Mixed-Initiative Information Warfare Analysis
• Evidence Extraction and Link Discovery
• High Performance Knowledge Bases

Planning and Scheduling.

Employ a combination of natural language processing, knowledge representation, constraint reasoning, machine learning, and agent technologies to develop, represent, and critique plans for military operations.

• Active Templates
• Intermodal Lift Planner
• Intelligent Multi-Agent Hybrid System Control Technology
• Effects-Based Operations
• Agile Commander
• High Performance Knowledge Bases

Knowledge Engineering.

Develop technologies that facilitate the rapid construction and exploitation of large knowledge bases.

• An Instructable Agent for Rapid Knowledge Base Design
• JBI Fuselet Authoring Tool
• High Performance Knowledge Bases
• SHEIK: A Domain-Portable Shallow Ontology Builder