Rabih Salhab

  • Citations Per Year
Learn More
Inspired by successful biological collective decision mechanisms such as honey bees searching for a new colony or the collective navigation of fish schools, we consider a mean field games (MFG)-like scenario where a large number of agents have to make a choice among a set of different potential target destinations. Each individual both influences and is(More)
Inspired by successful biological collective decision mechanisms such as honey bees searching for a new colony or the collective navigation of fish schools, we consider a mean field games (MFG) scenario producing decentralized homing decisions in large multi-agent systems. For our setup, we show that given an initial distribution of the agents, many(More)
We consider within the framework of the Mean Field Games theory a dynamic discrete choice model with social interactions, where a large number of agents/players are choosing between two alternatives while influenced by the group’s behavior. We introduce the “Min-LQG” optimal control problem, a modified Linear Quadratic Gaussian (LQG) optimal control problem(More)
We consider within the framework of Mean Field Games theory a dynamic discrete choice model with an advertiser, where a large number of minor agents (e.g., consumers) are choosing between two predefined alternatives while influenced by social and advertisement effects. For example, in schools, teenagers’ decisions to smoke are considerably affected by their(More)
  • 1