Advanced Systems-Level Problem Solving, Volume 2
Advanced Systems-Level Problem Solving, Volume 2

Author: Otto Laske

Publisher: Springer Nature

Published: 2023-11-14

Total Pages: 228

ISBN-13: 303140985X

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This three-volume set introduces the practice of advanced, ‘dialectical’ systems-level problem solving in both the social and natural sciences. In social science, it opens new vistas regarding organizational, strategy, and work design. In the natural sciences, it provides heretofore missing conceptions of physical systems in peril due to the climate crisis. In addition, the author draws conclusions that are important for advancing generative AI. The monograph presents novel conceptual tools that directly impact the internal structure of a systems analyst’s mental processing in real time. While the first volume lays the theoretical groundwork for dialectical systems analysis, the second, focusing on the nature of work, lays bare the structure of complex thinking in terms of the ‘thought forms’ it requires. In order to facilitate better understanding of the principles taught in the first two volumes, the third volume provides a Manual of Dialectical Thought Forms, which is the only one in existence today.

Advanced Systems-Level Problem Solving, Volume 1
Advanced Systems-Level Problem Solving, Volume 1

Author: Otto Laske

Publisher: Springer Nature

Published: 2023-11-14

Total Pages: 215

ISBN-13: 3031403320

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This three-volume set introduces the practice of advanced, ‘dialectical’ systems-level problem solving in both the social and natural sciences. In social science, it opens new vistas regarding organizational, strategy, and work design. In the natural sciences, it provides heretofore missing conceptions of physical systems in peril due to the climate crisis. In addition, the author draws conclusions that are important for advancing generative AI. The monograph presents novel conceptual tools that directly impact the internal structure of a systems analyst’s mental processing in real time. While the first volume lays the theoretical groundwork for dialectical systems analysis, the second, focusing on the nature of work, lays bare the structure of complex thinking in terms of the ‘thought forms’ it requires. In order to facilitate better understanding of the principles taught in the first two volumes, the third volume provides a Manual of Dialectical Thought Forms, which is the only one in existence today.

Advanced Systems-Level Problem Solving, Volume 3
Advanced Systems-Level Problem Solving, Volume 3

Author: Otto Laske

Publisher: Springer Nature

Published: 2023-11-14

Total Pages: 254

ISBN-13: 3031403398

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This three-volume set introduces the practice of advanced, ‘dialectical’ systems-level problem solving in both the social and natural sciences. In social science, it opens new vistas regarding organizational, strategy, and work design. In the natural sciences, it provides heretofore missing conceptions of physical systems in peril due to the climate crisis. In addition, the author draws conclusions that are important for advancing generative AI. The monograph presents novel conceptual tools that directly impact the internal structure of a systems analyst’s mental processing in real time. While the first volume lays the theoretical groundwork for dialectical systems analysis, the second, focusing on the nature of work, lays bare the structure of complex thinking in terms of the ‘thought forms’ it requires. In order to facilitate better understanding of the principles taught in the first two volumes, the third volume provides a Manual of Dialectical Thought Forms, which is the only one in existence today.

Readings in Distributed Artificial Intelligence
Readings in Distributed Artificial Intelligence

Author: Alan H. Bond

Publisher: Morgan Kaufmann

Published: 2014-06-05

Total Pages: 668

ISBN-13: 1483214443

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Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.