We aim to develop Artificial Intelligence (AI) software that is generalized across entity-level simulation systems and can be used to generate behaviors in training simulations that are both contextually and tactically realistic. The near-term goal for Phase I is to define and develop a concept for improving simulation training using AI in VBS2 and JSAF, focusing on improving the behavioral realism of the AI while reducing the need for support personnel.
Benefit: We will target this system for the software development tools market and the human behavior representation (HBR) market. Our offering could perhaps be classified as a cognitive agent development toolkit. As such, the typical end user is a software developer building a computer game, or desktop assistant, or even a robotic vacuum cleaner anything that requires the ability to learn from or mimic human performance. One identifiable subgroup of these software developers is the community of game programmers, who serve the gaming market.
Benefit: We will target this system for the software development tools market and the human behavior representation (HBR) market. Our offering could perhaps be classified as a cognitive agent development toolkit . As such, the typical end user is a software developer building a computer game, or desktop assistant, or even a robotic vacuum cleaner anything that requires the ability to learn from or mimic human performance. One identifiable subgroup of these software developers is the community of game programmers, who serve the gaming market.
Keywords: Simulation, Simulation, Modeling, human systems., Artificial Intelligence, Training, Information Systems
