In Beyond Constraint, Shona N. Jackson offers a new approach to labour and its analysis by demonstrating the fundamental relation between black and Indigenous People’s sovereign, free, and coerced labour in the Americas. Through the writings of Cedric Robinson, Walter Rodney, C. L. R. James, and Sylvia Wynter, Jackson confronts the elision of Indigenous People’s labour in the black radical tradition. She argues that this elision is an effect of the structural relation of antiblackness to anti-indigeneity through which native and black bodies are arranged on either side of a split between unproductive labour and productive work necessary for capital accumulation and for how we read capital in political economic critique. This division between labour and work forces the radical tradition to sustain the break between black and Indigenous peoples as part of its critical strategies of liberation. To address this impasse, Jackson reads the tradition against the grain for openings to indigeneity and a method for recovering lost labours.

The basic principle of the Theory of Constraints (TOC) is the impossibility of running a balanced factory at 100 percent capacity. Variation in processing and material transfer times is the root cause of longer cycle times and higher inventories, which can hinder the ability to run a factory at full capacity. In Beyond the Theory of Constraints, William Levinson challenges this basic principle by stating that variation in processing and material transfer times comes from special or assignable causes that can be eliminated through traditional quality management techniques. Even random or common-cause variation can be suppressed through lean manufacturing methods. This compelling book: Gives a complete overview of the Theory of Constraints and its impact on engineering and managerial economics Illustrates the effect of variation in processing and material transfer times, and shows why this variation prevents achievement of 100 percent utilization Describes methods for reducing variation in processing and material transfer times Discusses methods for increasing productivity and reducing cycle times - these are useful for elevating the constraint (increasing its capacity) and reduce variation This book will teach business executives, managers, and technical professionals, including quality and manufacturing engineers, how to identify and remove variations and maximize capacity to achieve bottom-line results.

This book constitutes the proceedings of the 12th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2015, held in Barcelona, Spain, in May 2015. The 29 papers presented together with 8 short papers in this volume were carefully reviewed and selected from 90 submissions. The purpose of the conference series is to bring together researchers in the fields of Constraint Programming, Artificial Intelligence and Operations Research to explore ways of solving hard and large scale combinatorial optimization problems that emerge in various industrial domains. Pooling the skills and strengths of this diverse group of researchers has proved extremely effective and valuable during the past decade leading to improvements and cross-fertilization between the three fields as well as breakthrough for actual applications.

This is my best gift to humanity, moving closer to its calamity, being blinded by its vanity which turns out into insanity, geared by greedy rationality lacking far sighted serenity... Advanced, evolving wisdom! It means above all, farsighted, sustainable, socially just and ever evolving thinking and praxis of future humanity. It means evolved humans beyond sapiens limits, who will open for new vistas and horizons for exploring and challenging our physical and mental limitations and space.... It means, that by practicing it properly it will bring about global sustainability, reduce markedly human folly, mediocrity, pretense, self- deception and greed in future generations? lives. BOOKS IN ENGLISH WRITTEN BY THE AUTHOR( Benjamin Katz) A new global survival faith(2021) Stupid Sapiens: Evolve or get extinct(2019) 365 Years of Solitude, Sufferings and the Rise of the Creators: 2020–2384 (2018) A Survival Kit for the Upcoming Creators (2017) A Portrait of a Visionary Trans Human and His Work (2015) The Inevitable Human and Godless Faith (2015) A Paradigm for a New Civilization (2013) I, the Reluctant Creator (2012) Global Psychology: Solving Eddie’s Dilemma (2008) The Fifth Narrative: The Wiser Ascent of Icarus (2004) A journey of Enhancement (1999)

This is the first comprehensive survey of the field of constraint databases, written by leading researchers. Constraint databases are a fairly new and active area of database research. Their ability to deal with infinite sets makes them particularly promising as a technology for integrating spatial and temporal data with standard relational databases. Constraint databases bring techniques from a variety of fields, such as logic and model theory, algebraic and computational geometry, as well as symbolic computation, to the design and analysis of data models and query languages.

This volume contains 15 thoroughly refereed full research papers selected from the presentations given during two workshops on constraint processing; these workshops were held in conjunction with the International Congress on Computer Systems and Applied Mathematics (St. Petersburg, Russia, July 1993) and the European Conference on Artificial Intelligence (Amsterdam, The Netherlands, August 1994). This volume essentially contributes to integrating the different approaches to the young and very active field of constraint processing by offering papers from logic programming, knowledge representation, expert systems, theoretical computer science, operations research, and other fields. Among contributions are two surveys, by Podelski and van Roy and by Freuder.

Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware. Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages. Contents Introduction, E. C. Freuder, A. K. Mackworth * The Logic of Constraint Satisfaction, A. K. Mackworth * Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace * Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen * Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas * Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird * Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain * Structure Identification in Relational Data, R. Dechter, J. Pearl * Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey * Reasoning about Qualitative Temporal Information, P. van Beek * A Geometric Constraint Engine, G. A. Kramer * A Theory of Conflict Resolution in Planning, Q. Yang A Bradford Book.

The Boolean satisfiability problem (SAT) and its generalization to variables of higher arities - constraint satisfaction problems (CSP) - can arguably be called the most "natural" of all NP-complete problems. The present work is concerned with their algorithmic treatment. It consists of two parts. The first part investigates CSPs for which satisfiability follows from the famous Lovasz Local Lemma. Since its discovery in 1975 by Paul Erdos and Laszlo Lovasz, it has been known that CSPs without dense spots of interdependent constraints always admit a satisfying assignment. However, an iterative procedure to discover such an assignment was not available. We refine earlier attempts at making the Local Lemma algorithmic and present a polynomial time algorithm which is able to make almost all known applications constructive. In the second part, we leave behind the class of polynomial time tractable problems and instead investigate the randomized exponential time algorithm devised and analyzed by Uwe Schoning in 1999, which solves arbitrary clause satisfaction problems. Besides some new interesting perspectives on the algorithm, the main contribution of this part consists of a refinement of earlier approaches at derandomizing Schoning's algorithm. We present a deterministic variant which losslessly reaches the performance of the randomized original.

This book constitutes the refereed proceedings of the 15th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2019, held in Ustroń, Poland, in May 2019. It consists of 26 carefully reviewed papers selected from 69 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing and analysis; artificial intelligence, data mining and knowledge discovery; image analysis and multimedia mining; bioinformatics and biomedical data analysis; industrial applications; networks and security.