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YSEC Yearbook of Socio-Economic Constitutions 2020
This book presents the very first, interdisciplinarily grounded, comprehensive appraisal of a future “Common European Law on Investment Screening”. Thereby, it provides a foundation for a European administrative law framework for investment screening by setting out viable solutions and evaluating their pros and cons. Daimler, the harbour terminal in Zeebrugge, or Saxo Bank are only three recent examples of controversially discussed company takeovers in Europe. The “elephant in the room” is China and its “Belt and Road Initiative”. The political will in Europe is growing to more actively control investments flowing into the EU. The current regulatory initiatives raise several fund...
Contemplating Minds
One place where the scientific debate has been written for a broad audience is in the book review column of the international journal Artificial Intelligence, which has evolved from simple reviews to a multidisciplinary forum where reviewers and authors debate the latest, often competing, theories of human and artificial intelligence.
The Cambridge Handbook of Privatization
This volume explores the questions of what makes some goods and services fundamentally public and why.
Do the Right Thing
Like Mooki, the hero of Spike Lee's film Do the Right Thing artificially, intelligent systems have a hard time knowing what to do in all circumstances. Classical theories of perfect rationality prescribe the right thing for any occasion, but no finite agent can compute their prescriptions fast enough. In Do the Right Thing, the authors argue that a new theoretical foundation for artificial intelligence can be constructed in which rationality is a property of programs within a finite architecture, and their behaviour over time in the task environment, rather than a property of individual decisions.
Coordination of Distributed Problem Solvers
As artificial intelligence (AI) is applied to more complex problems and a wider set of applications, the ability to take advantage of the computational power of distributed and parallel hardware architectures and to match these architec tures with the inherent distributed aspects of applications (spatial, functional, or temporal) has become an important research issue. Out of these research concerns, an AI subdiscipline called distributed problem solving has emerged. Distributed problem-solving systems are broadly defined as loosely-coupled, distributed networks of semi-autonomous problem-solving agents that perform sophisticated problem solving and cooperatively interact to solve problems. ...
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The OKRs Field Book
Take your OKRs coaching skills to the next level with this practical handbook. In The OKRs Field Book: A Step-by-Step Guide for Objectives and Key Results Coaches, Ben Lamorte, a seasoned coach and management science expert, provides a structured approach for implementing objectives and key results. This book provides tips and tools that enable you to coach your OKRs clients with confidence. Lamorte analyzes foundational questions that must be answered prior to deploying OKRs and the roles required to sustain an OKRs program. Packed with excerpts from actual OKRs coaching sessions, this step-by-step guide shines a light on the OKRs coaching process. You learn how to help your client refine k...
Foundations of Rational Agency
This volume represents an advanced, comprehensive state-of-the-art survey of the field of rational agency as it stands today. It covers the philosophical foundations of rational agency, logical and decision-theoretic approaches to rational agency, multi-agent aspects of rational agency and a number of approaches to programming rational agents. It will be of interest to researchers in logic, mainstream computer science, the philosophy of rational action and agency, and economics.
Distributed Artificial Intelligence
Distributed Artificial Intelligence presents a collection of papers describing the state of research in distributed artificial intelligence (DAI). DAI is concerned with the cooperative solution of problems by a decentralized group of agents. The agents may range from simple processing elements to complex entities exhibiting rational behavior. The book is organized into three parts. Part I addresses ways to develop control abstractions that efficiently guide problem-solving; communication abstractions that yield cooperation; and description abstractions that result in effective organizational structure. Part II describes architectures for developing and testing DAI systems. Part III discusses applications of DAI in manufacturing, office automation, and man-machine interactions. This book is intended for researchers, system developers, and students in artificial intelligence and related disciplines. It can also be used as a reference for students and researchers in other disciplines, such as psychology, philosophy, robotics, and distributed computing, who wish to understand the issues of DAI.
Artificial Intelligence in Perspective
This major collection of short essays reviews the scope and progress of research in artificial intelligence over the past two decades. Seminal and most-cited papers from the journal Artificial Intelligence are revisited by the authors who describe how their research has been developed, both by themselves and by others, since the journals first publication.The twenty-eight papers span a wide variety of domains, including truth maintainance systems and qualitative process theory, chemical structure analysis, diagnosis of faulty circuits, and understanding visual scenes; they also span a broad range of methodologies, from AI's mathematical foundations to systems architecture.The volume is dedic...
