Coordination, Organizations, Institutions, and Norms in Agent Systems IX

Coordination, Organizations, Institutions, and Norms in Agent Systems IX

Author: Tina Balke

Publisher: Springer

Published: 2014-06-03

Total Pages: 384

ISBN-13: 3319073141

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This book constitutes the thoroughly refereed proceedings of the 9th International Workshops on Coordination, Organizations, Institutions and Norms in Agent Systems, COIN 2013. The workshops were co-located with AAMAS 2013, held in St. Paul, MN, USA in May 2013, and with PRIMA 2013, held in Dunedin, New Zealand, in December 2013. The 18 full papers were carefully reviewed and selected from 28 submissions and are presented together with two invited papers. The papers are organized in topical sections such as coordination, organizations, institutions, norms, norm conflict, and norm-aware agents.


Autonomous Horizons

Autonomous Horizons

Author: Greg Zacharias

Publisher: Independently Published

Published: 2019-04-05

Total Pages: 420

ISBN-13: 9781092834346

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Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.


Multi-Agent Systems and Agreement Technologies

Multi-Agent Systems and Agreement Technologies

Author: Nick Bassiliades

Publisher: Springer Nature

Published: 2021-01-04

Total Pages: 612

ISBN-13: 3030664120

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This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems.


A RAND Analysis Tool for Intelligence, Surveillance, and Reconnaissance

A RAND Analysis Tool for Intelligence, Surveillance, and Reconnaissance

Author: Lance Menthe

Publisher: Rand Corporation

Published: 2008

Total Pages: 20

ISBN-13: 083304494X

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The RAND Corporation's Collection Operations Model (COM) is a stochastic, agent-based simulation tool designed to support the analysis of command, control, communications, intelligence, surveillance, and reconnaissance (C3ISR) processes and scenarios. Written for the System Effectiveness Analysis Simulation modeling environment, the COM is used to study processes that require the real-time interaction of many players and to answer questions about force mix, system effectiveness, concepts of operations, basing and logistics, and capability-based assessment. It can represent thousands of autonomous, interacting platforms and explore the capabilities of a wide range of intelligence, surveillance, and reconnaissance assets. Through its flexible and friendly text-based input tables, the model represents a wide array of sensor capabilities, target properties, terrain and weather effects, and resource limitations. Its final output is a minute-by-minute account of each agent's changing operational picture. Since 2005, the COM has been used to model counterinsurgency, counterpiracy, and maritime surveillance scenarios and two major combat operations, and to study ad hoc collections, sensor cueing, dynamic retasking, and resource allocation. RAND has planned a number of upgrades to the COM, including the addition of space-based assets; a more robust model of sensor data fusion; communications modules that more accurately represent the advantages of a networked force; a more realistic representation of C3ISR workflow; sensor capability to generate false positives; and agent capability to practice deception. These extensions and enhancements are intended to result in a COM that can represent the entire C3ISR process specifically and network-centric operations in general.


Governing Lethal Behavior in Autonomous Robots

Governing Lethal Behavior in Autonomous Robots

Author: Ronald Arkin

Publisher: CRC Press

Published: 2009-05-27

Total Pages: 280

ISBN-13: 1420085956

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Expounding on the results of the author's work with the US Army Research Office, DARPA, the Office of Naval Research, and various defense industry contractors, Governing Lethal Behavior in Autonomous Robots explores how to produce an "artificial conscience" in a new class of robots, humane-oids, which are robots that can potentially perform more et


THE 4TH WAVE

THE 4TH WAVE

Author: Honghyun JUNG (정홍현)

Publisher: 정 홍현 (Honghyun JUNG)

Published: 2024-11-08

Total Pages: 176

ISBN-13:

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This book is a comprehensive exploration of the transformative impact of artificial intelligence on our world. Divided into key sections, it begins by detailing the history and evolution of AI, tracing its journey from early concepts to the pivotal Fourth Wave, where AI emerges as a game-changing force across all industries. The second part examines AI’s extensive influence, covering its effects on economics, society, culture, politics, and education, while also addressing the ethical and environmental challenges it introduces. Through examples and analysis, readers will understand the shifts in labor markets, the evolution of social interactions, and the changing landscape of international relations in an AI-driven age. In its final section, the book offers strategies for navigating this fast-evolving AI era, focusing on the need for workforce reskilling, lifelong learning, and the development of ethical, inclusive AI practices. It also emphasizes the importance of AI governance, regulation, and collaborative innovation, positioning humanity at the heart of AI’s future. Whether you're an AI professional, a student, or simply curious about the future, this book provides insightful perspectives on the opportunities and responsibilities that come with AI’s rapid rise.


Industrial Agents

Industrial Agents

Author: Paulo Leitão

Publisher: Morgan Kaufmann

Published: 2015-03-13

Total Pages: 476

ISBN-13: 0128004118

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Industrial Agents explains how multi-agent systems improve collaborative networks to offer dynamic service changes, customization, improved quality and reliability, and flexible infrastructure. Learn how these platforms can offer distributed intelligent management and control functions with communication, cooperation and synchronization capabilities, and also provide for the behavior specifications of the smart components of the system. The book offers not only an introduction to industrial agents, but also clarifies and positions the vision, on-going efforts, example applications, assessment and roadmap applicable to multiple industries. This edited work is guided and co-authored by leaders of the IEEE Technical Committee on Industrial Agents who represent both academic and industry perspectives and share the latest research along with their hands-on experiences prototyping and deploying industrial agents in industrial scenarios. - Learn how new scientific approaches and technologies aggregate resources such next generation intelligent systems, manual workplaces and information and material flow system - Gain insight from experts presenting the latest academic and industry research on multi-agent systems - Explore multiple case studies and example applications showing industrial agents in a variety of scenarios - Understand implementations across the enterprise, from low-level control systems to autonomous and collaborative management units


Autonomous Vehicles in Support of Naval Operations

Autonomous Vehicles in Support of Naval Operations

Author: National Research Council

Publisher: National Academies Press

Published: 2005-08-05

Total Pages: 256

ISBN-13: 0309181232

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Autonomous vehicles (AVs) have been used in military operations for more than 60 years, with torpedoes, cruise missiles, satellites, and target drones being early examples.1 They have also been widely used in the civilian sector-for example, in the disposal of explosives, for work and measurement in radioactive environments, by various offshore industries for both creating and maintaining undersea facilities, for atmospheric and undersea research, and by industry in automated and robotic manufacturing. Recent military experiences with AVs have consistently demonstrated their value in a wide range of missions, and anticipated developments of AVs hold promise for increasingly significant roles in future naval operations. Advances in AV capabilities are enabled (and limited) by progress in the technologies of computing and robotics, navigation, communications and networking, power sources and propulsion, and materials. Autonomous Vehicles in Support of Naval Operations is a forward-looking discussion of the naval operational environment and vision for the Navy and Marine Corps and of naval mission needs and potential applications and limitations of AVs. This report considers the potential of AVs for naval operations, operational needs and technology issues, and opportunities for improved operations.


Machine Learning and Data Mining

Machine Learning and Data Mining

Author: Igor Kononenko

Publisher: Horwood Publishing

Published: 2007-04-30

Total Pages: 484

ISBN-13: 9781904275213

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Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of computer science and technology, as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to libraries and bookshelves of the many companies who are using the principles of data mining to effectively deliver solid business and industry solutions.