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Digital Outcasts: Moving Technology Forward without Leaving People Behind
Digital Outcasts: Moving Technology Forward without Leaving People Behind

The blind person who tries to make an online purchase. The young girl who cannot speak due to a cognitive disability. The man confined to his home due to permanent injury. The single mother with a long-term illness who struggles to feed her family.

With one in seven people worldwide currently living with a disability, the term...

Approaches to Literary Readings of Ancient Jewish Writings (Studia Semitica Neerlandica)
Approaches to Literary Readings of Ancient Jewish Writings (Studia Semitica Neerlandica)

In this volume twelve contributions discuss the relevance, accuracy, potential, and possible alternatives to a literary reading of ancient Jewish writings, especially the Hebrew Bible. Drawing on different academic fields (biblical studies, rabbinic studies, and literary studies) and on various methodologies (literary criticism, rhetorical...

SemProM: Foundations of Semantic Product Memories for the Internet of Things (Cognitive Technologies)
SemProM: Foundations of Semantic Product Memories for the Internet of Things (Cognitive Technologies)

The development of low-cost, compact digital storage, sensors and radio modules allows us to embed digital memories into products to record key events. Such computationally enhanced products can perceive and control their environment, analyze their observations, and communicate with other smart objects and human users. Digital product...

The Languages of Western Tonality (Computational Music Science)
The Languages of Western Tonality (Computational Music Science)

Tonal music, from a historical perspective, is far from homogenous; yet an enduring feature is a background "diatonic" system of exactly seven notes orderable cyclically by fifth. What is the source of the durability of the diatonic system, the octave of which is representable in terms of two particular integers, namely 12 and 7?...

Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

The Architecture of Cognition: Rethinking Fodor and Pylyshyn's Systematicity Challenge (MIT Press)
The Architecture of Cognition: Rethinking Fodor and Pylyshyn's Systematicity Challenge (MIT Press)

In 1988, Jerry Fodor and Zenon Pylyshyn challenged connectionist theorists to explain the systematicity of cognition. In a highly influential critical analysis of connectionism, they argued that connectionist explanations, at best, can only inform us about details of the neural substrate; explanations at the cognitive level must be classical...

Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems
Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems

Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT).  The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making...

Abstraction in Artificial Intelligence and Complex Systems
Abstraction in Artificial Intelligence and Complex Systems

Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive...

Machine Learning with Spark - Tackle Big Data with Powerful Spark Machine Learning Algorithms
Machine Learning with Spark - Tackle Big Data with Powerful Spark Machine Learning Algorithms

Key Features

  • Follow real-world examples to learn how to develop your own machine learning systems with Spark
  • A practical tutorial with real-world use cases allowing you to develop your own machine learning systems with Spark
  • Combine various techniques and models into an intelligent machine...
Advances in Autonomous Mini Robots: Proceedings of the 6-th AMiRE Symposium
Advances in Autonomous Mini Robots: Proceedings of the 6-th AMiRE Symposium

Autonomous robots must carry out useful tasks all by themselves relying entirely on their own perceptions of their environment. The cognitive abilities required for autonomous action are largely independent of robot size, which makes mini robots attractive as artefacts for research, education and entertainment. Autonomous mini robots must be...

Handbook of School Mental Health: Research, Training, Practice, and Policy (Issues in Clinical Child Psychology)
Handbook of School Mental Health: Research, Training, Practice, and Policy (Issues in Clinical Child Psychology)

With so few therapeutic outlets readily available to young people, schools have evolved into mental health centers for many students. Yet schools are hampered by limited access to resources needed to provide mental health promotion, prevention, and intervention services.

Like its acclaimed predecessor, the Second Edition of the...

Build iOS Games with Sprite Kit: Unleash Your Imagination in Two Dimensions
Build iOS Games with Sprite Kit: Unleash Your Imagination in Two Dimensions

For beginning iOS developers who want to write games and interactive applications.

Take your game ideas from paper to pixels using Sprite Kit, Apple's 2D game development engine. Build two exciting games using Sprite Kit and learn real-world, workshop-tested insights about game design, including cognitive
...

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