This paper proposes a dynamic model supporting multimodal state space probability distributions and presents the application of the model in dealing with visual occlusions when tr...
The human behavior modeling community has traditionally been divided into those addressing individual behavior models, and those addressing organizational and team models. And yet...
Testing theories through practice is an important approach to teaching, especially in scientific and technical curricula. Often, lack of resources and logistics problems makes pra...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...