rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. in the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. with traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. four s...

Modeling roles as sets of normative behavior that agents can assume has been found to be a useful development technique. An important characteristic of real-world agent systems is that the roles played by an agent may change over time. These changes can be of several different kinds. We describe an illustrative application where such role changes are important, analyze and classify the various ...

This paper proposes a new methodology for coordinating multi-robot teams in the execution of cooperative tasks. It is based on a dynamic role assignment mechanism in which the robots assume and exchange roles during cooperation. We model the role assignment under a hybrid systems framework, using a hybrid automaton to represent roles, transitions and controllers. Using a multi-robot simulator, ...

Collecting and maintaining accurate world knowledge in a dynamic, complex, competitive, and stochastic environment such as RoboCup 3D Soccer Simulation is a challenging task. Knowledge should be learned in real-time with time constraints. We use recently introduced Off-Policy Gradient Descent algorithms in Reinforcement Learning that illustrate learnable knowledge representations for dynamic ro...

A helpful abstraction of a group of agents is a set of interacting roles, or sets of normative behaviors, that the agents can assume. An important characteristic of real-world agent systems is that the roles played by an agent may change over time. These changes can be of several different kinds. We describe an illustrative application where such role changes are important, analyze and classify...