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An artificial immune system (AIS) is a type of optimization algorithm inspired by the
principles and processes of the vertebrate immune system. The algorithms typically
exploit the immune system's characteristics of learning and memory to solve a problem.
They are coupled to artificial intelligence and closely related to genetic algorithms.
Processes simulated in AlS include pattern recognition, hyper-mutation and cloned selection for
B cells, negative selection of T cells, affinity maturation and immune network theory.
Examples for application of artificial immune systems
? Network Security
? Optimisation Problems
? Distributed Computing
AIS Scope
? Computational methods based on immunological principles;
? Immunity-based cognitive models;
? Immunity-based systems for: anomaly and fault detection, self-organization,
collective intelligence, search and optimization, artificial life, computational security,
image and signal processing, machine-learning, data analysis, pattern recognition
? Immunity-based multi-agent and autonomous decentralized systems.
AIS Application
1. Robotics
? Behavior arbitration mechanisms
? Emergence of collective behavior
2. Control
? Identification, synthesis and adaptive control
? Sequential control
3. Optimization
? Restrict, multimodal and combinatorial
4. Neural Network Approaches
? Similarities and differences
? Associative memory
5. Growing Boolean competitive network
6. Anomaly Detection
? Computational security
? Negative selection
? DNA-based negative selection
? Image inspection
? Image segmentation
? Time series novelty detection
7. Agent-Based Approaches
? Computational security
? Intelligent buildings
? Adaptive noise neutralization
8. Learning
? Pattern recognition
? Concept learning
? The Baldwin effect
? Generation of emergent properties
9. Inductive Problem Solving
? Finite-State Automaton
? Genetic Programming
10. Pattern Recognition
? Generic approaches
? Spectra recognition
11. Computer Models
? Cellular Automaton, Multi-Agent and Disease Processes
12. Other Applications
? Open Web-Server coordination
? Scheduling
? Data Mining
? Classifier systems
? Sensor-based diagnosis
? Evolution of gene libraries
? Self identification processes
? A Simulated Annealing model of diversity
? The reflection pattern in the immune system
Ambujex and AIS
We at Ambujex believe in providing the latest and upcoming technologies to our client
and customers for their benefit so that they are aware to be updated with the latest
happenings and safeguarding their systems and maintaining the integrity of the systems
and entire network. Our Research and Development team is currently working on this
technology and we believe that their work will come up triumphs and be acclaimed all
across the globe and we will be a stand-out performer in the field of computational
business industry.
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