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Integrating Artificial and Human Intelligence through Agent Oriented Systems Design

2024-08-28 Computers
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Release : 2024-08-28
Genre : Computers
Kind : eBook
Book Rating : 750/5 ( reviews)

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Book Synopsis Integrating Artificial and Human Intelligence through Agent Oriented Systems Design by : Michael E. Miller

Download or read book Integrating Artificial and Human Intelligence through Agent Oriented Systems Design written by Michael E. Miller. This book was released on 2024-08-28. Available in PDF, EPUB and Kindle. Book excerpt: This book departs from the assumption that Artificial Intelligence (AI) systems will provide a maximum advantage by replacing human cognitive processing. Instead, this book subscribes to the assumption that AI systems will provide a maximal advantage when the system is specifically designed to augment human intelligence. It provides methods for designing effective systems that include one or more humans and one or more AI entities and uses the approach that assumes automation does not replace human activity but fundamentally changes the structure of human work when AI is added to existing systems. Integrating Artificial and Human Intelligence through Agent Oriented Systems Design discusses the potential impact of AI on human work and life and explores why teamwork is necessary today for complex work environments. The book explains the processes and methods humans employ to effectively team with one another and presents the elements of artificial agents that permit them to function as team members in joint human and artificial teams. It discusses design goals and illustrates how the methods that have been used to model the complex interactions among human and artificial agents can be expanded to enable the design of interaction between them to make possible the attainment of the shared goals. Model-Based Systems Engineering (MBSE) tools that provide logical designs of human–agent teams, the AI within these teams, training to be deployed for human and artificial agent team members, and the interfaces between human and artificial agent team members are all covered. MBSE files containing profiles and examples for building MBSE models used in the design approach are featured on the author’s website (https://lodesterresci.com/hat). This book is an ideal read for students, professors, engineers, and project managers associated with designing and developing AI systems or systems that seek to incorporate AI.

Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing

2019-09-17 Technology & Engineering
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Release : 2019-09-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 366/5 ( reviews)

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Book Synopsis Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing by : Weiming Shen

Download or read book Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing written by Weiming Shen. This book was released on 2019-09-17. Available in PDF, EPUB and Kindle. Book excerpt: Agent Technology, or Agent-Based Approaches, is a new paradigm for developing software applications. It has been hailed as 'the next significant breakthrough in software development', and 'the new revolution in software' after object technology or object-oriented programming. In this context, an agent is a computer system which is capable of act

Design of Intelligent Multi-Agent Systems

2013-07-25 Computers
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Release : 2013-07-25
Genre : Computers
Kind : eBook
Book Rating : 161/5 ( reviews)

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Book Synopsis Design of Intelligent Multi-Agent Systems by : Rajiv Khosla

Download or read book Design of Intelligent Multi-Agent Systems written by Rajiv Khosla. This book was released on 2013-07-25. Available in PDF, EPUB and Kindle. Book excerpt: There is a tremendous interest in the design and applications of agents in virtually every area including avionics, business, internet, engineering, health sciences and management. There is no agreed one definition of an agent but we can define an agent as a computer program that autonomously or semi-autonomously acts on behalf of the user. In the last five years transition of intelligent systems research in general and agent based research in particular from a laboratory environment into the real world has resulted in the emergence of several phenomenon. These trends can be placed in three catego ries, namely, humanization, architectures and learning and adapta tion. These phenomena are distinct from the traditional logic centered approach associated with the agent paradigm. Humaniza tion of agents can be understood among other aspects, in terms of the semantics quality of design of agents. The need to humanize agents is to allow practitioners and users to make more effective use of this technology. It relates to the semantic quality of the agent design. Further, context-awareness is another aspect which has as sumed importance in the light of ubiquitous computing and ambi ent intelligence. The widespread and varied use of agents on the other hand has cre ated a need for agent-based software development frameworks and design patterns as well architectures for situated interaction, nego tiation, e-commerce, e-business and informational retrieval. Fi- vi Preface nally, traditional agent designs did not incorporate human-like abilities of learning and adaptation.

Intelligent Human Systems Integration

2017-12-30 Technology & Engineering
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Release : 2017-12-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 887/5 ( reviews)

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Book Synopsis Intelligent Human Systems Integration by : Waldemar Karwowski

Download or read book Intelligent Human Systems Integration written by Waldemar Karwowski. This book was released on 2017-12-30. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on research on innovative human systems integration and human-machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the area of design, construction and operation of products, systems and services, including lifecycle development and human-technology interaction. The book describes advanced methodologies and tools for evaluating and improving interface usability, new models, as well as case studies and best practices in virtual, augmented and mixed reality systems, with a special focus on dynamic environments. It also discusses different factors concerning the human, hardware, and artificial intelligence software. Based on the proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018), held on January 7-9, 2018, in Dubai, United Arab Emirates, the book also examines the forces that are currently shaping the nature of computing and cognitive systems, such as the need for decreasing hardware costs; the importance of infusing intelligence and automation, and the related trend toward hardware miniaturization and power reduction; the necessity for a better assimilation of computation in the environment; and the social concerns regarding access to computers and systems for people with special needs. It offers a timely survey and a practice-oriented reference guide to policy- and decision-makers, human factors engineers, systems developers and users alike.

Systems Engineering and Artificial Intelligence

2021-11-02 Computers
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Release : 2021-11-02
Genre : Computers
Kind : eBook
Book Rating : 837/5 ( reviews)

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Book Synopsis Systems Engineering and Artificial Intelligence by : William F. Lawless

Download or read book Systems Engineering and Artificial Intelligence written by William F. Lawless. This book was released on 2021-11-02. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

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