
Algorithms and Architectures of Artificial Intelligence
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Title page
- Contents
- Introduction
- Language of algorithms
- Knowledge Handling
- Knowledge and knowledge systems
- Abstract representation of knowledge systems
- Examples of deductive systems
- Brute force deduction and value propagation
- Clausal calculi and resolution
- Language
- Inference rule - resolution
- Resolution strategies
- Pure Prolog
- Nonmonotonic theories
- Production rules
- Decision tables
- Rete algorithm
- Semantic networks
- Frames
- Knowledge architecture
- Hierarchical connection
- Semantic connection
- Union
- Operational connection
- Examples of knowledge architectures
- Ontologies and knowledge systems
- Summary
- Exercises
- Search
- Search problem
- Exhaustive search methods
- Breadth-first search
- Depth-first search
- Search on binary trees
- Heuristic search methods
- Best-first search
- Beam search
- Hill-climbing
- Constrained hill-climbing
- Search with backtracking
- Search on and-or trees
- Search with dependency-directed backtracing
- Branch-and-bound search
- Stochastic branch and bound search
- Minimax search
- Alpha-beta pruning
- Specific search methods
- A* algorithm
- Unification
- Dictionary search
- Simulated annealing
- Discrete dynamic programming
- Viterby algorithms
- Forward search and backward search
- Hierarchy of search methods
- Exercises
- Learning and Decision Making
- Learning for adaptation
- Parametric learning
- Adaptive automata
- Symbolic learning
- Concept learning as search in a hypothesis space
- Specific to general concept learning
- General to specific concept learning
- Inductive inference
- Learning with an oracle
- Inductive logic programming
- Learning by inverting resolution
- Massively parallel learning in genetic algorithms
- Learning in neural nets
- Perceptrons
- Hopfield nets
- Hamming nets
- Comparator
- Carpenter-Grossberg classifier
- Kohonen's feature maps
- Bayesian networks
- Taxonomy of neural nets
- Data clustering
- Sequential leader clustering
- K-means clustering
- Specific learning algorithms
- Learning decision trees from examples
- Learning productions from examples
- Discovering regularities in monotonous systems
- Discovering relations and structure
- Summary
- Exercises
- Problem Solving and Planning
- Constraint satisfaction problem
- Consistency algorithms
- Binary consistency
- Path consistency
- Propagation algorithms
- Functional constraint networks
- Computational problems and value propagation
- Equational problem-solver
- Minimizing an algorithm
- Lattice of problems on functional constraint network
- Higher-order constraint propagation
- Special algorithms of constraint solving
- Clustering of equations
- Interval propagation
- Program synthesis
- Deductive synthesis of programs
- Inductive synthesis of programs
- Transformational synthesis of programs
- Structural synthesis of programs
- Planning
- Scheduling
- Intelligent agents
- Agent architectures
- Agent communication languages
- Implementation of agents
- Reflection
- Exercises
- References
- Subject Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.