Michael Franklin Author
Subjects of specialization
Affiliation
Artificial Intelligence, Machine Learning, Multi-agent systems, RoboticsStrategy
Department of Computing of Software Engineering, Kennesaw State University, Marietta, GA, USA
Michael Franklin holds a Ph.D. in Computer Science specializing in Artificial Intelligence and Robotics. His research areas also include Machine Learning, High-Performance Computing, Big Data and Data Science, and Serious Games and Simulations. Dr. Franklin worked for over 25 years in the IT industry helping companies large and small solve theirtechnical issues. His interests have always been in the intersection of research, technology, and business.
Research Article Open Access
Author(s): Michael Franklin
Multi-agent multi-team environments are complicated and complex. The normal approach is to simplify the structure by using a single policy for each agent, such as in swarming or flocking algorithms. While this type of simulation environment may provide multiple agents working within the system, their interactions are singledimensional and their group behavior minimal. SiMAMT, in contrast, is a hierarchical, strategy-based approach that provides large-scale, complex strategic initiatives realized by independent intelligent single agents. These agents are independent because they have their own talents, skills, abilities, and behaviors that are influenced by the commands given to them from the layer above (e.g., the team). These agents can all have their own behaviors, or several could ha... view moreĀ»