Artificial Intelligence: Principles and Practice
portes grátis
Artificial Intelligence: Principles and Practice
Luger, George F.
Springer International Publishing AG
12/2024
637
Dura
9783031574368
Pré-lançamento - envio 15 a 20 dias após a sua edição
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The Pre-History of Artificial Intelligence.- Computing, Representations, and Definitions of Artificial Intelligence.- The State Space, Finite State Machines, and Artificial Life.- Searching the State Space.- Heuristic Search.- Heuristics: 2-Person Games and Theoretical Constraints.- Introduction to the Propositional and Predicate Calculi.- The Predicate Calculus and Unification.- Resolution: Reasoning with the Propositional and Predicate Calculi.- The Production System Representation and Search Engine.- Advanced Applications of Symbol-Based Reasoning.- Uncertain Reasoning: Symbol-Based.- Introduction to Association-Based Knowledge Representations.- Association-Based Representations: Frames, Conceptual Graphs, WordNet, and FrameNet.- An Introduction to Neural Networks.- The Delta Rule, Backpropagation, and Matrix Representations.- Deep Learning: Introduction and Representations.- Building Language Models and Transformers.- Alternative Network Architectures: Prototypes and Classifiers.- Alternative Network Architectures: Attractor Networks and Memories.- Counting, the Foundation of Probabilities.- Bayes' Theorem.- Bayesian Belief Networks and Observable Markov Models.- Hidden Markov and Alternative Probabilistic Models.- Artificial Intelligence: User-Focused Ethical Issues.- AI Ethical Issues: From the Developers' Perspective.- Artificial Intelligence: Current Limitations and Future Promise.
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Symbol-Based AI;Neural or Connectionist Networks;Probabilistic Reasoning;Genetic Algorithms;Emergent Computation;Ethical Issues in Artificial Intelligence;Philosophical Foundations of AI
The Pre-History of Artificial Intelligence.- Computing, Representations, and Definitions of Artificial Intelligence.- The State Space, Finite State Machines, and Artificial Life.- Searching the State Space.- Heuristic Search.- Heuristics: 2-Person Games and Theoretical Constraints.- Introduction to the Propositional and Predicate Calculi.- The Predicate Calculus and Unification.- Resolution: Reasoning with the Propositional and Predicate Calculi.- The Production System Representation and Search Engine.- Advanced Applications of Symbol-Based Reasoning.- Uncertain Reasoning: Symbol-Based.- Introduction to Association-Based Knowledge Representations.- Association-Based Representations: Frames, Conceptual Graphs, WordNet, and FrameNet.- An Introduction to Neural Networks.- The Delta Rule, Backpropagation, and Matrix Representations.- Deep Learning: Introduction and Representations.- Building Language Models and Transformers.- Alternative Network Architectures: Prototypes and Classifiers.- Alternative Network Architectures: Attractor Networks and Memories.- Counting, the Foundation of Probabilities.- Bayes' Theorem.- Bayesian Belief Networks and Observable Markov Models.- Hidden Markov and Alternative Probabilistic Models.- Artificial Intelligence: User-Focused Ethical Issues.- AI Ethical Issues: From the Developers' Perspective.- Artificial Intelligence: Current Limitations and Future Promise.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
