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Tackling some central problems in the philosophy of action, Mele constructs an explanatory model for intentional behavior, locating the place and significance of such mental phenomena as beliefs, desires, reason, and intentions in the etiology of intentional action. Part One comprises a comprehensive examination of the standard treatments of the relations between desires, beliefs, and actions. In Part Two, Mele goes on to develop a subtle and well-defended view that the motivational role of intentions is of a different sort from that of beliefs and desires. Mele, also offers a provocative explanation of how we come to have intentions and elaborates on his earlier work concerning akratic failures of will.
The human ability to effortlessly understand the actions of other people has been the focus of research in cognitive neuroscience for decades. What have we learned about this ability, and what open questions remain? In this Element the authors address these questions by considering the kinds of information an observer may gain when viewing an action. A 'what, how, and why' framing organises evidence and theories about the representations that support classifying an action; how the way an action is performed supports observational learning and inferences about other people; and how an actor's intentions are inferred from her actions. Further evidence shows how brain systems support action understanding, from research inspired by 'mirror neurons' and related concepts. Understanding actions from vision is a multi-faceted process that serves many behavioural goals, and is served by diverse mechanisms and brain systems.
As much as adult learners can absorb in a classroom, they learn and retain a lot more on the job. Action Learning, or AL, can be based on any of several different schools of thought, and there is much debate as to which is ideal. The authors advocate tailoring the best attributes of each approach to the specific purpose and the learning environment. Drawing on theory from Self-Directed Learning, Learning from Experience, and Transformative Learning, Understanding Action Learning enables the reader to make an informed decision about which approach or combination to use in his or her organization, and provides: * a theoretical model that explains the different approaches to AL, and a framework for identifying which approach to use * a focus on co-design in creating Action Learning programs * practical tools, assessments, and exercises * illuminating stories and case studies from the field Combining top-shelf research with real-world experience, Understanding Action Learning is a crucial resource for adult educators everywhere.
We effortlessly recognize all sorts of events--from simple events like people walking to complex events like leaves blowing in the wind. We can also remember and describe these events, and in general, react appropriately to them, for example, in avoiding an approaching object. Our phenomenal ease interacting with events belies the complexity of the underlying processes we use to deal with them. Driven by an interest in these complex processes, research on event perception has been growing rapidly. Events are the basis of all experience, so understanding how humans perceive, represent, and act on them will have a significant impact on many areas of psychology. Unfortunately, much of the research on event perception--in visual perception, motor control, linguistics, and computer science--has progressed without much interaction. This volume is the first to bring together computational, neurological, and psychological research on how humans detect, classify, remember, and act on events. The book will provide professional and student researchers with a comprehensive collection of the latest research in these diverse fields.
Summary Gnuplot in Action, Second Edition is a major revision of this popular and authoritative guide for developers, engineers, and scientists who want to learn and use gnuplot effectively. Fully updated for gnuplot version 5, the book includes four pages of color illustrations and four bonus appendixes available in the eBook. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Gnuplot is an open-source graphics program that helps you analyze, interpret, and present numerical data. Available for Unix, Mac, and Windows, it is well-maintained, mature, and totally free. About the Book Gnuplot in Action, Second Edition is a major revision of this authoritative guide for developers, engineers, and scientists. The book starts with a tutorial introduction, followed by a systematic overview of gnuplot's core features and full coverage of gnuplot's advanced capabilities. Experienced readers will appreciate the discussion of gnuplot 5's features, including new plot types, improved text and color handling, and support for interactive, web-based display formats. The book concludes with chapters on graphical effects and general techniques for understanding data with graphs. It includes four pages of color illustrations. 3D graphics, false-color plots, heatmaps, and multivariate visualizations are covered in chapter-length appendixes available in the eBook. What's Inside Creating different types of graphs in detail Animations, scripting, batch operations Extensive discussion of terminals Updated to cover gnuplot version 5 About the Reader No prior experience with gnuplot is required. This book concentrates on practical applications of gnuplot relevant to users of all levels. About the Author Philipp K. Janert, PhD, is a programmer and scientist. He is the author of several books on data analysis and applied math and has been a gnuplot power user and developer for over 20 years. Table of Contents PART 1 GETTING STARTED Prelude: understanding data with gnuplot Tutorial: essential gnuplot The heart of the matter: the plot command PART 2 CREATING GRAPHS Managing data sets and files Practical matters: strings, loops, and history A catalog of styles Decorations: labels, arrows, and explanations All about axes PART 3 MASTERING TECHNICALITIES Color, style, and appearance Terminals and output formats Automation, scripting, and animation Beyond the defaults: workflow and styles PART 4 UNDERSTANDING DATA Basic techniques of graphical analysis Topics in graphical analysis Coda: understanding data with graphs
Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)
Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.
By taking account of people's understanding (along with their beliefs and desires) of their situations, options and prospects, this text is able to expand the current theory of decision and action.
The first book in the Understanding Photography series, Understanding Exposure, was a runaway best-seller, with more than 250,000 copies sold. Now author Bryan Peterson brings his signature style to another important photography topic: shutter speed. With clear, jargon-free explanations of terms and techniques, plus compelling “before-and-after” photos that pair a mediocre image (created using the wrong shutter speed) with a great image (created using the right shutter speed), this is the definitive practical guide to mastering an often-confusing subject. Topics include freezing and implying motion, panning, zooming, exposure, Bogen Super Clamps, and rendering motion effects with Photoshop, all with helpful guidance for both digital and film formats. Great for beginners and serious amateurs, Understanding Shutter Speed is the definitive handy guide to mastering shutter speed for superb results.