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7,119 result(s) for "Distributed artificial intelligence"
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Distributed artificial intelligence : a modern approach
\"Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts\"-- Provided by publisher.
Human-Assisted Intelligent Computing
This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today.
Cooperative control of distributed multi-agent systems
The paradigm of 'multi-agent' cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the \"dimensions\" of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.
Crowdsourcing
Ever since the term \"crowdsourcing\" was coined in 2006 byWiredwriter Jeff Howe, group activities ranging from the creation of the Oxford English Dictionary to the choosing of new colors for M&Ms have been labeled with this most buzz-generating of media buzzwords. In this accessible but authoritative account, grounded in the empirical literature, Daren Brabham explains what crowdsourcing is, what it is not, and how it works. Crowdsourcing, Brabham tells us, is an online, distributed problem solving and production model that leverages the collective intelligence of online communities for specific purposes set forth by a crowdsourcing organization -- corporate, government, or volunteer. Uniquely, it combines a bottom-up, open, creative process with top-down organizational goals. Crowdsourcing is not open source production, which lacks the top-down component; it is not a market research survey that offers participants a short list of choices; and it is qualitatively different from predigital open innovation and collaborative production processes, which lacked the speed, reach, rich capability, and lowered barriers to entry enabled by the Internet. Brabham describes the intellectual roots of the idea of crowdsourcing in such concepts as collective intelligence, the wisdom of crowds, and distributed computing. He surveys the major issues in crowdsourcing, including crowd motivation, the misconception of the amateur participant, crowdfunding, and the danger of \"crowdsploitation\" of volunteer labor, citing real-world examples from Threadless, InnoCentive, and other organizations. And he considers the future of crowdsourcing in both theory and practice, describing its possible roles in journalism, governance, national security, and science and health.
Distributed Artificial Intelligence
Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some metaheuristic methods in which problem solving may resemble operation research, but it is not exactly related to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This book looks at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics include plan verification, generation and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The book also discusses negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. This book will attract researchers and practitioners who are working in management and computer science as well as people looking for a book that explains basic and advanced concepts.
Digital Libraries and Crowdsourcing
Instead of outsourcing tasks to providers using labor-intensive countries, libraries around the world increasingly appeal to the crowds of Internet users, making their relationship with users more collaborative. These internet users can be volunteers or paid, work consciously, unconsciously or in the form of games. They can provide the workforce, skills, knowledge or financial resources that libraries need in order to achieve unimaginable goals.
Crowdsourcing for Speech Processing
The concept of crowdsourcing is based on the observation that if a crowd of non-experts is asked an opinion, the aggregation of their individual opinions will be very close to the true value. Tasks such as collecting speech, labelling it, assessing systems and carrying out studies on the speech data are natural candidates for crowdsourcing. This book is a detailed and hands-on comprehensive reference for those who want to use crowdsourcing for speech applications. From the reader who has already used crowdsourcing and wants to refine their methods to the novice who has never used this technique before; this book will provide a practical introduction to crowdsourcing as a means of rapidly processing speech data with contributions from leading researchers in the field. Informs readers about how to collect and label speech using crowdsourcing; how to assess speech applications and run perception studies using crowdsourcing. Explains to readers about how to choose crowdsourcing platforms. Considers the ethical and legal implications of performing crowdsourcing for speech processing. Includes numerous real-life examples of how to implement crowdsourcing for various types of speech processing. Offers several options for each type of task enabling readers to choose which option best fits their individual needs. Provides an extensive overview of the literature on crowdsourcing for speech processing.
Swarm intelligence and bio-inspired computation : theory and applications
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades.Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase.
Crowd Design
Die digitale Revolution ist mit dem Versprechen verknüpft, die Selbstständigkeit des einzelnen Nutzers zu stärken. Der Aufstieg von kommerziellen Plattformen zur Koordination von Crowdarbeit stellt die Gültigkeit dieses Narrativs jedoch in Frage. In Crowd-Design analysiert Florian Alexander Schmidt die Entstehungsgeschichte, Funktionsweise und Rhetorik solcher Plattformen. Der Vergleich von historischen Crowd-Diskursen und Visionen der Online-Kollaboration bildet den Ausgangspunkt für eine kritische Betrachtung aktueller Ausprägungen von Crowdarbeit: Der Fokus der Studie liegt auf der Auslagerung von Designaufgaben unter Verwendung dieser Crowdsourcing-Plattformen. Grundlegenden Mechanismen, welche den Plattformbetreibern zur Motivation und Kontrolle der Crowds dienen, werden offengelegt. The digital revolution is interwoven with the promise to empower the user. Yet, the rise of centralised, commercial platforms for crowdsourced work questions the validity of this narrative. In Crowd-Design, Florian Alexander Schmidt analyses the workings and the rhetoric of crowdsourced work platforms by comparing the way they address the masses today with historic notions of the crowd. The utopian concepts of early online collaboration are taken as a vantage point from which to view and critique current and, at times, dystopian applications of crowdsourced work. The study is focused on the crowdsourcing of design tasks, but these specific applications are used to examine the design of the more general mechanisms employed by the platform providers to motivate and control the crowds. Crowd-Design is as much about the crowdsourcing of design as it is about the design of crowdsourcing.
Crowdsourcing and online collaborative translations : expanding the limits of translation studies
This book is of special interest to translation researchers, translation students, industry experts or anyone with an interest on how crowdsourcing and online collaborative translations relate to past, present and future research and theorizations in translation studies.