This book explores an understudied area of language development in autism – namely, how children with autism learn the meaning of verbs. The key feature is a profile of verb acquisition in autism derived from qualitative analysis of the conversational language of ten children with autism. Douglas examines whether this profile is typical or atypical compared with verb learning in neurotypical children. Verb use is central to linguistic development, and the ability of children with autism to develop and use verb categories is of interest, because verbs also encode information about the number and type of participants and the temporal location of the activity/event. Moreover, the acquisition of verb meanings is often dependent on other cognitive skills, such as the recognition that human beings have beliefs and desires which motivate their actions. All these are areas which are widely considered problematic for children with autism and continue to generate much discussion among researchers and clinicians. This investigation is among the first studies of its type, offering new insights into the process of language acquisition in autism.

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.

Unlike traditional information systems which work by issuing requests and waiting for responses, event-driven systems are designed to process events as they occur, allowing the system to observe, react dynamically, and issue personalized data depending on the recipient and situation. Event Processing in Action introduces the major concepts of event-driven architectures and shows how to use, design, and build event processing systems and applications. Written for working software architects and developers, the book looks at practical examples and provides an in-depth explanation of their architecture and implementation. Since patterns connect the events that occur in any system, the book also presents common event-driven patterns and explains how to detect and implement them. Throughout the book, readers follow a comprehensive use case that incorporates all event processing programming styles in practice today. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

This book presents a unified and systematic philosophical account of human actions and their explanation, and it does it in the spirit of scientific realism. In addition, various other related topics, such as psychological concept formation and the nature of mental events and states, are dis cussed. This is due to the fact that the key problems in the philosophy of psychology are interconnected to a high degree. This interwovenness has affected the discussion of these problems in that often the same topic is discussed in several contexts in the book. I hope the reader does not find this too frustrating. The theory of action developed in this book, especially in its latter half, is a causalist one. In a sense it can be regarded as an explication and refin~ment of a typical common sense view of actions and the mental episodes causally responsible for them. It has, of course, not been possible to discuss all the relevant philosophical problems in great detail, even if I have regarded it as necessary to give a brief treatment of relatively many problems. Rather, I have concentrated on some key issues and hope that future research will help to clarify the rest.

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.

What can we learn from spontaneously occurring brain and other physiological signals about an individual’s cognitive and affective state and how can we make use of this information? One line of research that is actively involved with this question is Passive Brain-Computer-Interfaces (BCI). To date most BCIs are aimed at assisting patients for whom brain signals could form an alternative output channel as opposed to more common human output channels, like speech and moving the hands. However, brain signals (possibly in combination with other physiological signals) also form an output channel above and beyond the more usual ones: they can potentially provide continuous, online information about an individual’s cognitive and affective state without the need of conscious or effortful communication. The provided information could be used in a number of ways. Examples include monitoring cognitive workload through EEG and skin conductance for adaptive automation or using ERPs in response to errors to correct for a behavioral response. While Passive BCIs make use of online (neuro)physiological responses and close the interaction cycle between a user and a computer system, (neuro)physiological responses can also be used in an offline fashion. Examples of this include detecting amygdala responses for neuromarketing, and measuring EEG and pupil dilation as indicators of mental effort for optimizing information systems. The described field of applied (neuro)physiology can strongly benefit from high quality scientific studies that control for confounding factors and use proper comparison conditions. Another area of relevance is ethics, ranging from dubious product claims, acceptance of the technology by the general public, privacy of users, to possible effects that these kinds of applications may have on society as a whole. In this Research Topic we aimed to publish studies of the highest scientific quality that are directed towards applications that utilize spontaneously, effortlessly generated neurophysiological signals (brain and/or other physiological signals) reflecting cognitive or affective state. We especially welcomed studies that describe specific real world applications demonstrating a significant benefit compared to standard applications. We also invited original, new kinds of (proposed) applications in this area as well as comprehensive review articles that point out what is and what is not possible (according to scientific standards) in this field. Finally, we welcomed manuscripts on the ethical issues that are involved. Connected to the Research Topic was a workshop (held on June 6, during the Fifth International Brain-Computer Interface Meeting, June 3-7, 2013, Asilomar, California) that brought together a diverse group of people who were working in this field. We discussed the state of the art and formulated major challenges, as reflected in the first paper of the Research Topic.