Human-Machine Shared Contexts
Language: English
Published by Elsevier Science, 2020
- Softcover
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Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and w.
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- Title
- Human-Machine Shared Contexts
- Author
- Lawless, William
- Publisher
- Elsevier Science
- Publication year
- 2020
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 0128205431
- ISBN 13
- 9780128205433
Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines.
This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines.
This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers.
- Discusses the foundations, metrics, and applications of human-machine systems
- Considers advances and challenges in the performance of autonomous machines and teams of humans
- Debates theoretical human-machine ecosystem models and what happens when machines malfunction
"Synopsis" may belong to another edition of this title.
About the Author
Ranjeev Mittu is the Branch Head for the Information and Decision Sciences Branch within the Information Technology Division at the U.S. Naval Research Laboratory (NRL). He leads a multidisciplinary group of scientists and engineers conducting research and advanced development in visual analytics, human performance assessment, decision support systems, and enterprise systems. Mr. Mittu’s research expertise is in multi-agent systems, human-systems integration, artificial intelligence (AI), machine learning, data mining and pattern recognition; and he has authored and/or coedited eleven books on the topic of AI in collaboration with the national and international scientific communities spanning academia and defense. Mr. Mittu received a Master of Science Degree in Electrical Engineering in 1995 from The Johns Hopkins University in Baltimore, MD.
The views expressed in this Work do not necessarily represent the views of the Department of the Navy, the Department of Defense, or the United States.
Don Sofge is a computer scientist and roboticist at the Naval Research Laboratory (NRL) with 36 years of experience in artificial intelligence, machine learning, and control systems R&D, the last 23 years at NRL. He leads the Distributed Autonomous Systems Section in the Navy Center for Applied Research in Artificial Intelligence (NCARAI), where he develops nature-inspired computing paradigms to challenging problems in sensing, artificial intelligence, and control of autonomous robotic systems. He has more than 200 refereed publications including 12 edited books in robotics, artificial intelligence, machine learning, planning, sensing, control, and related disciplines.
The views expressed in this Work do not necessarily represent the views of the Department of the Navy, the Department of Defense, or the United States.
"About the title" may belong to another edition of this title.
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Greven, Germany 48268
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Instructions for revocation
Revocation right
You have the right to revoke this contract within one month without specifying any reasons.
The revocation period is one month with effect from the day,
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on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
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In order to exercise your revocation right, you must inform us (Moluna GmbH, Engberdingdamm 27, 48268 Greven, Telephone number: 02571/5 69 89 33, Fax number: 02571/5 69 89 30, E-Mail address: abe@moluna.de) of your decision to revoke this contract by means of a clear declaration (e.g. a letter sent via post, fax or email). You can use the enclosed specimen revocation form for this, which however is not mandatory.
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Specimen - revocation form
(If you wish to revoke the contract, please fill up this form and send it back to us.)
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To Moluna GmbH, Münsterstr. 105, 48268 Greven, Fax number: 02571/5 69 89 30, Email address: abe@moluna.de :
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I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
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§ 1 Basic provisions
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Insofar as you are an entrepreneur, the following shall apply in deviation from the above warranty provisions:
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b) In the event of defects, we shall, at our discretion, provide warranty by rectification of the defect or subsequent delivery. If the rectification of defects fails, you may, at your option, demand a reduction in price or withdraw from the contract. The rectification of defects shall be deemed to have failed after a second unsuccessful attempt, unless the nature of the goods or the defect or other circumstances indicate otherwise. In the event of rectification of defects, we shall not be obliged to bear the increased costs arising from the transport of the goods to a place other than the place of performance, unless such transport is in accordance with the intended use of the goods.
c) The warranty period shall be one year from delivery of the goods. The shortening of the period shall not apply
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(3) The provisions of the UN Convention on Contracts for the International Sale of Goods are explicitly inapplicable.
II. Customer information
- Identity of the seller
Moluna GmbH
Engberdingdamm 27
48268 Greven
Germany
Telephone: 02571/5698933
E-Mail: abe@moluna.de
- Information regarding the conclusion of the contract
The technical steps associated with the conclusion of the contract, the contract conclusion itself and the correction options are executed in accordance to the regulations "conclusion of the contract" in our standard business terms (part I.).
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6.2 If you are a consumer, the following is statutorily regulated: The risk of the sold item accidentally being destroyed or degraded during shipping only passes over to you when the item in question is delivered, regardless of whether or not the shipping operation is insured. This condition does not apply if you have independently commissioned a transport company that has not been specified by us or a person who has otherwise been appointed to execute the shipping operation.
If you are a businessman, the delivery and shipping operations take place at your own risk.
- Statutory warranty right
Liability for defects is governed by the “Warranty” provisions in our General Terms and Conditions of Business (Part I).
last update: 01.01.2022
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last update: 10.01.2022