Cause-Effect Structures


Book Description

This book presents a new algebraic system whose interpretation coincides with the behaviour of Petri nets, enhanced with an inhibitory mechanism and four time models. Its goal is to provide a formal means of modelling dynamic tasks, and of testing and verifying properties, in contexts characterised by the parallel execution of actions. However, the task description differs from that of Petri nets. The algebra is a quasi-semiring, “quasi” because of its somewhat restricted distributivity axiom. Expressions of this algebra, the cause–effect structures, have a graphic presentation as nets, but with one kind of named nodes, each annotated by two expressions that specify the type of signal reception from predecessors and transmission to successors. Many structural and behavioural properties are stated with proofs, and illustrative sample tasks are included. The book is intended for all those interested or involved in parallel and distributed computing – students, researchers and practitioners alike.







Computing in Cause-Effect Structures


Book Description

This book focuses on numerous examples of tasks represented by c-e structure. Cause–effect (c-e) structures are dynamic objects devised for algebraic and graphic description of realistic tasks. They constitute a formal system providing means to specify or implement (depending on degree of description generality) the tasks. They can be transformed, thus come under simplification, in accordance with rules-axioms of their algebra. Also, their properties can be inferred from the axioms. One objective of this book is presentation, by many realistic examples, of computing capability of c-e structures, without entering into mathematical details of their algebra. In particular, how computing with natural numbers and in propositional calculus can be performed by c-e structures and how to specify behavior of data structures. But also demonstration of many other tasks taken from the area of parallel processing, specified as c-e structures. Another objective is modelling or simulation by means of c-e structures, of other descriptive systems, devised for tasks from various fields. Also without formalizing by usage of functions between the systems. This concerns formalisms such as reaction systems, rough sets, Petri nets and CSP-like languages. Also on such, where temporal interdependence between actions matters. The presentation of examples is prevalently graphic, in the form of peculiar nets, but accompanied by their algebraic and set-theoretic expressions. A fairly complete exposition of concepts and properties of the algebra of cause-effect structures is in the previous book appeared in the Lecture Notes in Networks and Systems series. But basic notions of c-e structures are here provided for understanding the examples.







Cause Effect Pairs in Machine Learning


Book Description

This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a “causal mechanism”, in the sense that the values of one variable may have been generated from the values of the other. This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website. Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.




The Comprehension Toolkit (Ages 5-8)


Book Description

Teacher reference resource containing comprehension lessons for teachers of children in the early years of school.




Puzzle Paragraphs


Book Description

"Puzzle Paragraphs will show you how to: construct and deconstruct the most common nonfiction text types, seamlessly integrate these activities into readers' and writers workshops, and use the sample texts and BLMs provided in this comprehensive resource book."--back cover.




The Listeners


Book Description

"Before the plague, and the quarantine, fourteen-year-old Daniel Raymond had only heard of the Listeners. They were a gang, or at least that's what his best friend Katie's police officer father had said. They were criminals, thieves, monsters--deadly men clearly identifiable by the removal of their right ears.That's what Daniel had heard. But he didn't know.He didn't know much in those early days. He didn't know how the plague began, but then, no one did. The doctors and emergency medical personnel said it was airborne, and highly contagious. They said those infected became distorted both inside and out, and very, very dangerous.Then the helicopters came and took the doctors away, and no one said much of anything after that.Except the police officers. They said they'd provide food and order, in exchange for guns and, ultimately, anything else they felt like taking.Daniel's mother went out for toilet paper. She never came back. He hasn't heard from Katie since the phones went dead. And with his real family gone and surrogate family unreachable, Daniel, scared and alone, has nothing except the walls of his apartment, the window shattered, the poisonous air seeping in.That's when the Listeners arrive. Derek, the one-eared man with the big, soulful eyes, promises protection, and hope, and the choice not to sit alone and wait to die in some horrific way. He offers a brotherhood under the watch of their leader, the prophet Adam. He offers a place in the world to come.A harrowing work of literary horror, The Listeners, Harrison Demchick's electrifying debut, is a dark and terrifying journey into loneliness, desperation, and the devastating experience of one young boy in a world gone mad."




The Effect


Book Description

Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences




The Great Fire


Book Description

The Great Fire of 1871 was one of most colossal disasters in American history. Overnight, the flourshing city of Chicago was transformed into a smoldering wasteland. The damage was so profound that few people believed the city could ever rise again.By weaving personal accounts of actual survivors together with the carefully researched history of Chicago and the disaster, Jim Murphy constructs a riveting narrative that recreates the event with drama and immediacy. And finally, he reveals how, even in a time of deepest dispair, the human spirit triumphed, as the people of Chicago found the courage and strength to build their city once again.