Kategoria BISAC: Computers >> Artificial Intelligence - General

• Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised...

This book provides an introduction to the emerging field of planning and decision making for aerial robots. An aerial robot is the ultimate form of Unmanned Aerial Vehicle, an aircraft endowed with built-in intelligence, requiring no direct human control and able to perform a specific task. It must be able to fly within a partially structured environment, to react and adapt to changing environmental conditions and to accommodate for the uncertainty that exists in the physical world. An aerial robot can be termed as a physical agent that exists and flies in the real 3D world, can sense its...

The essays in this book, written by researchers from both humanities and science, describe various theoretical and experimental approaches to adding medical ethics to a machine, what design features are necessary in order to achieve this, philosophical and practical questions concerning justice, rights, decision-making and responsibility in medical contexts, and accurately modeling essential physician-machine-patient relationships.

In medical settings, machines are in close proximity with human beings: with patients who are in vulnerable states of health, who have disabilities of...

This book constitutes the refereed proceedings of the 17th International Symposium, KSS 2016, held in Kobe, Japan, in November 2016.

The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers cover topics such as: Algorithms for Big Data; Big Data and education; Big Data and healthcare; Big Data and tourism; Big Data and social media oriented knowledge discovery and data mining, text mining, recommendation system, etc; Big Data, social media and societal management; creation of agent-based social systems sciences; collective...

Full of robust algorithms and evaluation tools suitable for a wide range of application scenarios, this self-contained text explains the fundamental concepts underlying adaptive signal processing and combines rigor with accessible mathematical language.

This book proposes an applied epistemological framework for investigating science, social cognition and religious thinking based on inferential patterns that recur in the different domains. It presents human rationality as a tool that allows us to make sense of our (physical or social) surroundings. It shows that the resulting cognitive activity produces a broad spectrum of outputs, such as scientific models and experimentation, gossip and social networks, but also ancient and contemporary deities. The book consists of three parts, the first of which addresses scientific modeling and...

Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn't this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process?

This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of...

Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments.

Part I develops Bayes nets' foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain...

While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice.

Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or...

This book constitutes the refereed proceedings of the 10th Asia-Pacific Services Computing Conference, APSCC 2016, held in Zhangjiajie, China, in November 2016.

The 38 revised full papers presented in this book were carefully reviewed and selected from 107 submissions. The papers cover a wide range of topics in the fields of cloud/utility/Web computing/big data; foundations of services computing; social/peer-to-peer/mobile/ubiquitous/pervasive computing; service-centric computing models; integration of telecommunication SOA and Web services; business process integration and...

Build an automated currency trading bot from scratch with java. In this book, you will learn about the nitty-gritty of automated trading and have a closer look at Java, the Spring Framework, event-driven programming, and other open source APIs, notably Google's Guava API. And of course, development will all be test-driven with unit testing coverage.

The central theme of Building Trading Bots Using Java is to create a framework that can facilitate automated trading on most of the brokerage platforms, with minimum changes. At the end of the journey, you will have a working...