Accession Number:

ADA621410

Title:

Case-Based Behavior Recognition to Facilitate Planning in Unmanned Air Vehicles

Descriptive Note:

Conference paper

Corporate Author:

KNEXUS RESEARCH CORP SPRINGFIELD VA

Personal Author(s):

• Borck, Hayley
• Karneeb, Justin
• Alford, Ron
• Aha, David W.

Report Date:

2014-09-01

Pagination or Media Count:

10.0

Abstract:

An unmanned air vehicle UAV can operate as a capable team member in mixed human-robot teams if the agent that controls it can intelligently plan. However, planning effectively in an air combat scenario requires understanding the behaviors of hostile agents in that scenario, which is challenging in partially observable environments such as the one we study. We present a Case-Based Behavior Recognition CBBR algorithm that annotates an agents behaviors using a discrete feature set derived from a continuous spatio-temporal world state. These behaviors can then be given as input to an air combat simulation, along with the UAVs plan, to predict hostile actions and determine the effectiveness of the given plan. We describe an initial implementation of a CBBR prototype in the context of a goal reasoning agent designed for UAV control.

Descriptors:

• *DRONES
• *PLANNING
• AERIAL WARFARE
• ALGORITHMS
• BATTLE MANAGEMENT
• BEHAVIOR
• COMBAT SIMULATION
• CONTROL SYSTEMS
• ENEMY
• INPUT
• SCENARIOS

Subject Categories:

• Pilotless Aircraft
• Flight Control and Instrumentation
• Computer Programming and Software
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE