MULTI AGENTS

MULTI AGENTS

1. Many intelligent agents working

   • together for a common goal
     • Agents working for a common goal need planning.
       • Planning needs cooperation and coordination
         • Bees collecting honey for one queen
   • Competing against each other for a goal
     • Fish feeding frenzy

2. Patterns of behavior

   • Emerge from thousand of tiny agents or individual agents to follow a simple rule
     • they for a complex pattern and achieve complex goals
       • Bats in the evening, flock of birds

3. software created agents are special kind of knowledge based system

4. BIODS

   • Its a software created intelligent agents that move in unison
   • 3 important features
     • Seperation - avoid crowding
     • Alignment - head in average direction
     • Cohesion - steer towards average position
   • OOP paradigm is ideal for creating boids

5. Convey's game

   • Multi agents survive or die in a dynamic enviroment