A Sandbox in Which to Learn and Develop Soar Agents
Abstract
It is common for military personnel to leverage simulations (and simulators) as cost-effective tools to train and become proficient at various tasks (e.g., flying an aircraft and/or performing a mission, among others).These training simulations often need to represent humans within the simulated world in a realistic manner. Realistic implies creating simulated humans that exhibit behaviors that mimic real-world decision making and actions. Typically, to create the decision-making logic, techniques developed from the domain of artificial intelligence are used. Although there are several approaches to developing intelligent agents; we focus on leveraging and open source project called Soar, to define agent behavior. This research took an off-the-shelf open-source software product (called the AI sandbox) that facilitates the creation of 3D virtual worlds and interfaced it to the Soar package. Because the world created by the sandbox is rich in features, easily configurable using a simple scripting system, and visually engaging, its ideal as a learning platform to develop Soar agents more aligned with military simulations. In summary, this research develops a platform (or learning environment) to learn how to develop Soar-based agents.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 23, 2017
- Accession Number
- AD1054697
Entities
People
- Daniel Lugo
Organizations
- Air Force Institute of Technology