An Introduction to Knowledge Engineering by Simon Kendal, Malcolm Creen

By Simon Kendal, Malcolm Creen

The authors use a fresh and novel 'workbook' writing sort which supplies the ebook a truly sensible and simple to exploit believe. It comprises methodologies for the advance of hybrid details platforms, covers neural networks, case established reasoning and genetic algorithms in addition to specialist platforms. a number of tips to net established assets and present study also are incorporated. The content material of the ebook has been effectively utilized by undergraduates worldwide. it truly is aimed toward undergraduates and a powerful maths history isn't required.

Show description

Read or Download An Introduction to Knowledge Engineering PDF

Best artificial intelligence books

Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition)

Data Mining: useful desktop studying instruments and methods bargains an intensive grounding in laptop studying strategies in addition to useful recommendation on using computing device studying instruments and methods in real-world info mining occasions. This hugely expected 3rd version of the main acclaimed paintings on information mining and laptop studying will educate you every thing you want to find out about getting ready inputs, studying outputs, comparing effects, and the algorithmic tools on the center of winning info mining.

Thorough updates mirror the technical alterations and modernizations that experience taken position within the box because the final version, together with new fabric on facts differences, Ensemble studying, substantial information units, Multi-instance studying, plus a brand new model of the preferred Weka desktop studying software program constructed through the authors. Witten, Frank, and corridor contain either tried-and-true recommendations of this present day in addition to tools on the cutting edge of latest learn.

*Provides a radical grounding in computing device studying innovations in addition to functional recommendation on utilizing the instruments and strategies in your info mining initiatives *Offers concrete guidance and strategies for functionality development that paintings through remodeling the enter or output in computing device studying equipment *Includes downloadable Weka software program toolkit, a suite of desktop studying algorithms for info mining tasks-in an up to date, interactive interface. Algorithms in toolkit disguise: information pre-processing, category, regression, clustering, organization ideas, visualization

Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications)

This quantity introduces computing device studying recommendations which are rather strong and potent for modeling multimedia info and customary projects of multimedia content material research. It systematically covers key computer studying concepts in an intuitive style and demonstrates their functions via case stories. assurance contains examples of unsupervised studying, generative types and discriminative versions. furthermore, the publication examines greatest Margin Markov (M3) networks, which attempt to mix the benefits of either the graphical types and help Vector Machines (SVM).

Superintelligence: Paths, Dangers, Strategies

Superintelligence asks the questions: What occurs whilst machines surpass people regularly intelligence? Will man made brokers keep or break us? Nick Bostrom lays the root for figuring out the way forward for humanity and clever life.

The human mind has a few functions that the brains of different animals lack. it truly is to those particular features that our species owes its dominant place. If laptop brains exceeded human brains in most cases intelligence, then this new superintelligence might develop into tremendous robust - in all probability past our regulate. because the destiny of the gorillas now relies extra on people than at the species itself, so might the destiny of humankind rely on the activities of the computing device superintelligence.

But we've got one virtue: we get to make the 1st circulate. Will or not it's attainable to build a seed synthetic Intelligence, to engineer preliminary stipulations in an effort to make an intelligence explosion survivable? How might one in achieving a managed detonation?

This profoundly bold and unique ebook breaks down an unlimited song of adverse highbrow terrain. After an completely engrossing trip that takes us to the frontiers of pondering the human and the way forward for clever existence, we discover in Nick Bostrom's paintings not anything under a reconceptualization of the fundamental activity of our time.

Bayesian Reasoning and Machine Learning

Desktop studying tools extract price from large info units speedy and with modest assets.

They are verified instruments in a variety of commercial purposes, together with se's, DNA sequencing, inventory industry research, and robotic locomotion, and their use is spreading swiftly. those that recognize the equipment have their number of profitable jobs. This hands-on textual content opens those possibilities to laptop technology scholars with modest mathematical backgrounds. it really is designed for final-year undergraduates and master's scholars with restricted history in linear algebra and calculus.

Comprehensive and coherent, it develops every thing from easy reasoning to complex strategies in the framework of graphical versions. scholars research greater than a menu of innovations, they enhance analytical and problem-solving talents that equip them for the true international. various examples and routines, either desktop established and theoretical, are incorporated in each bankruptcy.

Resources for college students and teachers, together with a MATLAB toolbox, can be found on-line.

Additional resources for An Introduction to Knowledge Engineering

Sample text

Efforts that followed gave rise to various models of biological NN structures and learning algorithms. 3. Humans are very good at inferring conclusions from limited amounts of data while computers tend to excel at problems where a large number of repetitive or similar operations are required. Computers are built with many millions of individual switches within a single processor. They can perform millions of operations per second and, assuming that there is no hardware failure, they can carry out these operations with absolute mathematical precision.

For example, all values could be increased by 15% or decreased by 10%. Activity 8 Here are the inputs to a neuron that is being used to predict whether or not a driving test will be passed. Criteria Hours driving experience > 40 Age > 22 Power steering in car? Qualified instructor? 7. Richard is 23 years old and has just taken his driving test for the first time. He was taught by his father in the family car without power steering (Richard’s father is a solicitor). So far he has had 55 hours driving experience.

2. 3. 4. 5. 6. Expert systems Neural networks (NNs) Case-based reasoning (CBR) Genetic algorithms Intelligent agents Data mining. Objectives By the end of the chapter you will be able to: r describe the characteristics of a knowledge-based system r explain the main elements of knowledge-based systems and how they work r evaluate the advantages and limitations of knowledge-based systems r identify appropriate contexts for the use of particular types of knowledge-based systems. 26 Types of Knowledge-Based Systems 27 SECTION 1: EXPERT SYSTEMS Introduction This section provides you with an introduction to expert systems and their use within knowledge engineering.

Download PDF sample

Rated 4.16 of 5 – based on 8 votes