This paper presents a modeling methodology for designing networked agents systems. It focuses on the agent hybrid state representation, its dynamic behavior, and its interaction with neighbor agents. The agent’s internal state as well as the communication interface between agents is modeled using timed hybrid Petri nets.
Sondes Ben Cheikh1, Christian Tahon2 and Slim Hammadi1 Abstract The multihop ridesharing system generates a ridematching solution with an arbitrary number of transfers that respects personal preferences of the users and their time constraints with detour willingness. As it is […]
Tae Han Kim¹, Chu Hyun Kim², Sang Do Shin¹ and Sunnie Haam³ Abstract Prompt live-saving interventions, such as cardiopulmonary resuscitation (CPR), intravenous cannulation (IVC), and endotracheal intubation (ETI), are important for severely injured victims of chemical, biological, radiological, and nuclear […]
Özgür Özmen2 , James J. Nutaro1 , Laura L. Pullman1 , and Arvind Ramanathan2 , Abstract Computational disease spread models can be broadly classified into differential equation-based (EBM) and agent-based models (ABM). We examine these models in the context of illuminating their hidden assumptions and the impact these may have […]