Hybrid Intelligent System - Fundamentals and Applications
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Monitoring and Surveillance Agents - Fundamentals and Applications
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Feedforward Neural Networks - Fundamentals and Applications for The Architecture of Thinking Machines and Neural Webs
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Logic Programming - Fundamentals and Applications
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Distributed Artificial Intelligence - Fundamentals and Applications
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Propositional Logic - Fundamentals and Applications
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K Nearest Neighbor Algorithm - Fundamentals and Applications
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Restricted Boltzmann Machine - Fundamentals and Applications for Unlocking the Hidden Layers of Artificial Intelligence
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Agent Architecture - Fundamentals and Applications
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Artificial Intelligence Systems Integration - Fundamentals and Applications
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Support Vector Machine - Fundamentals and Applications
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Learning Intelligent Distribution Agent - Fundamentals and Applications
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Naive Bayes Classifier - Fundamentals and Applications
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Cognitive Architecture - Fundamentals and Applications
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Kernel Methods - Fundamentals and Applications
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Alternating Decision Tree - Fundamentals and Applications
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Statistical Classification - Fundamentals and Applications
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Bio Inspired Computing - Fundamentals and Applications for Biological Inspiration in the Digital World
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Embodied Cognitive Science - Fundamentals and Applications
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Artificial Immune Systems - Fundamentals and Applications
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Nouvelle Artificial Intelligence - Fundamentals and Applications for Producing Robots With Intelligence Levels Similar to Insects
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Situated Artificial Intelligence - Fundamentals and Applications for Integrating Intelligence With Action
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Embodied Cognition - Fundamentals and Applications
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Neuroevolution - Fundamentals and Applications for Surpassing Human Intelligence with Neuroevolution
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Group Method of Data Handling - Fundamentals and Applications for Predictive Modeling and Data Analysis
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Competitive Learning - Fundamentals and Applications for Reinforcement Learning through Competition
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Artificial Neural Networks - Fundamentals and Applications for Decoding the Mysteries of Neural Computation
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Subsumption Architecture - Fundamentals and Applications for Behavior Based Robotics and Reactive Control
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Backpropagation - Fundamentals and Applications for Preparing Data for Training in Deep Learning
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Hybrid Neural Networks - Fundamentals and Applications for Interacting Biological Neural Networks with Artificial Neuronal Models
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