presented by:
K.Preethi
SP.Rathna Janani

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ARTIFICIAL INTELLIGENCE Biologically Inspired Computing-Swarm Intelligence
What is AI?
 Artificial Intelligence is a branch of Science which deals with helping machines and finds solutions to complex problems in a more human-like fashion.
 Artificial Intelligence can help us understand this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities
Parental Disciplines of AI
Biologically Inspired Computing
 A field of study that loosely knits together subfields related to the topics of connectionism, social behavior and emergence.
 The use of biology or biological processes in developing new computing technologies and new areas of computer science; and conversely, the use of information science concepts and tools to explore biology from a different theoretical perspective.
Swarm Intelligence
 Swarm intelligence (SI) is artificial intelligence based on the collective behavior of decentralized, self-organized systems.
 Swarm intelligence is the emergent collective intelligence of groups of simple autonomous agents.
Techniques
 Ant Colony Optimization
 Particle Swarm Optimization
 Stochastic Diffusion Search
PSO Algorithm
 Initialization
 Population loop
 Goodness evaluation and update
 Neighborhood evaluation
 Determine vi
 Particle update
 Cycle
Future Scope
 Swarm techniques for controlling unmanned vehicles.
 The possibility of using swarm intelligence to control nanobots within the body for the purpose of killing cancer tumors.
 In future the velocity of each individual must be updated by taking the best element found in all iterations rather than that of the current iteration only
Conclusion
 Biologically inspired computing could allow the creation of new machines with promising characteristics such as fault-tolerance, self-replication or cloning, reproduction, evolution, adaptation and learning, and growth.
 Bio computing has the potential to be a very powerful tool.