Abstract:
A multi agent approach and robotics behaviors can
be classify as a type of distributed intelligence. This distributed
intelligence has an advantage to solving particular problems
through benefiting from "Divide and Conquer" approach.
Inherent parallelism of multiple agents can do many, perhaps
different things, at the same time. Multiple agents are able to be
in different places at the same time and can achieve different
goals at the same time. Our paper is presenting achieving of
static and dynamic goals completion through agent negotiation.
The robotic agents shall assist each other in goal acquisition. This
can be achieved in any environment with no map or determined
damnation. The agents in our work do not necessarily know it's
location in the environment during its goal acquisition. Our work
is allowing easy location communication between agents in
indoor environment.
