PowerPoint Presentation on Swarm Intelligence

PPT On Swarm Intelligence

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Swarm Intelligence Presentation Transcript:

1. ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create such machines. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.

2. NEED OF AI
Environment changes dynamically and cannot be framed by calculations and algorithms. Scientists have proposed many solutions to cope up with the limitations and exception of environment. Insects and birds are successful in surviving for years and are efficient , flexible and robust. They solve many problems like finding food , building nest etc.. Hence they are self organized and optimize their path.

3. Particle swarm optimization Idea:
Used to optimize continuous functions. PSO is a population-based search algorithm and is initialized with a population of random solutions called particles. The particles have the tendency to fly towards the better and better search area over the course of search process. Function is evaluated at each time step for the agent’s current position. Each agent “remembers” personal/local best value of the function

4. ANT COLONY OPTIMIZATION
ACO is inspired by the behavior of ant colonies. Ant colonies have the ability to find the shortest path for the food. Ants leave a chemical pheromone trail . This pheromone trial enables them to find shortest path between their nest and the food sources. Ants find the shortest path via an experimental setup shown below.

5. SUMMARY OF INSECTS
The complexity and sophistication of Self-organization is carried out with no clear leader. What we learn about social insects can be applied to the field of Intelligent System Design. The modeling of social insects by means of Self-Organization can help design artificial distributed problem solving devices. This is also known as Swarm Intelligent Systems.

6. From Ants to Algorithms
Swarm intelligence information allows us to address modeling via: Problem solving Algorithms Real world applications

7. SOCIAL INSECTS
Problem solving benefits include: Flexible Robust Decentralized Self-Organized

8. ROBOTS
Collective task completion No need for overly complex algorithms Adaptable to changing environment

9. Thanks.