Jeff Heaton

Nature can be a great source of inspiration for artificial intelligence algorithms because its technology is considerably more advanced than our own. Among its wonders are strong AI, nanotechnology, and advanced robotics. Nature can therefore serve as a guide for real-life problem solving. In this book, you will encounter algorithms influenced by ants, bees, genomes, birds, and cells that provide practical methods for many types of AI situations. Although nature is the muse behind the methods, we are not duplicating its exact processes. The complex behaviors in nature merely provide inspiration in our quest to gain new insights about data. Artificial Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background. The reader only needs knowledge of basic college algebra and computer programming. Additional topics are thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, and Python. Other languages are planned. No knowledge of biology is needed to read this book. With a forward by Dave Snell.

Nature-Inspired Algorithms

Artificial Intelligence for Humans, Volume 2

Introduction to the Math of Neural Networks

The content and services available on the web continue to be accessed mostly through direct human control. But this is changing. Increasingly, users rely on automated agents that save them time and effort by programmatically retrieving content, performing complex interactions, and aggregating data from diverse sources. Programming Spiders, Bots, and Aggregators in Java teaches you how to build and deploy a wide variety of these agents-from single-purpose bots to exploratory spiders to aggregators that present a unified view of information from multiple user accounts. You will quickly build on your basic knowledge of Java to quickly master the techniques that are essential to this specialized world of programming, including parsing HTML, interpreting data, working with cookies, reading and writing XML, and managing high-volume workloads. You'll also learn about the ethical issues associated with bot use--and the limitations imposed by some websites. This book offers two levels of instruction, both of which are focused on the library of routines provided on the companion CD. If your main concern is adding ready-made functionality to an application, you'll achieve your goals quickly thanks to step-by-step instructions and sample programs that illustrate effective implementations. If you're interested in the technologies underlying these routines, you'll find in-depth explanations of how they work and the techniques required for customization.

Programming Spiders, Bots, and Aggregators in Java

The "JSP Standard Tag Library" is a collection of commonly used functions and tools invaluable to JSP developers to avoid recreating the same functions on site after site. This book starts with an in-depth discussion of the JSP STL, then goes beyond the standard library to teach developers to create their own tags to further encapsulate the most common features of their specific applications.

JSP Standard Tag Library Kick Start

JSTL

Build a Computer from Scratch

HTTP Programming Recipes for Java Bots

Provides an introduction to J2EE using the WebLogic platform, which claims the largest market share-about forty percent-of the Java application server market Features the most comprehensive coverage of the component types of WebLogic in the friendly For Dummies style Covers static resources, JSPs, taglibs and servlets, EJBs, and WebLogic's Web service development and deployment capabilities and tools Teaches readers the basic administration and monitoring capabilities built into WebLogic, using a conversational and example-driven approach Uses real-world analogies all programmers will recognize to introduce the major topics of J2EE Examples will include not only coding, but also step-by-step deployment and troubleshooting tips

BEA WebLogic Server 8 For Dummies

Introduction to Neural Networks in Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward, Hopfield, and Self Organizing Map networks are discussed. Training techniques such as Backpropagation, Genetic Algorithms and Simulated Annealing are also introduced. Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, financial prediction, game strategy, learning mathematical functions and special application to Internet bots. All Java source code can be downloaded online.

Jeff Heaton

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