Operations Research Methods

Mathematical analysis is key to the modeling and management of natural resources. By presenting required mathematical methods, classic dynamic models for non-renewable and renewable resources, and by exploring several contemporary problems, this text provides a foundation for advanced research. Topics include seminal models in fishery, forestry and non-renewable resource management, as well as an extensive collection of contemporary applications that include the optimal transition from fossil fuels to clean energy, the optimal timing of interventions to save endangered species, pest control and the optimal management of antibiotic resistance. Deterministic and stochastic models in both discrete and continuous time are covered. The book encourages students to pursue a deeper understanding of the analytics of resource problems and to deploy numerical methods when analytical results prove intractable. The combination of analysis, theory and applications will launch the next generation of

In the context of recent challenges to long-standing assumptions about the nature of Ennius' Annals and the editorial methods appropriate to the poem's fragmentary remains, this volume seeks to move Ennian studies forward on three axes. First, a re-evaluation of the literary and historical precedents for and building blocks of Ennius' poem in order to revise the history of early Latin literature. Second, a cross-fertilization of recent critical approaches to the fields of poetry and historiography. Third, reflection on the tools and methods that will best serve future literary and historical research on the Annals and its reception. Adopting different approaches to these broad topics, the fourteen papers in this volume illustrate how much can be said about Ennius' poem and its place in literary history independent of any commitment to inevitably speculative totalizing interpretations.

Mathematical analysis is key to the modeling and management of natural resources. By presenting required mathematical methods, classic dynamic models for non-renewable and renewable resources, and by exploring several contemporary problems, this text provides a foundation for advanced research. Topics include seminal models in fishery, forestry and non-renewable resource management, as well as an extensive collection of contemporary applications that include the optimal transition from fossil fuels to clean energy, the optimal timing of interventions to save endangered species, pest control and the optimal management of antibiotic resistance. Deterministic and stochastic models in both discrete and continuous time are covered. The book encourages students to pursue a deeper understanding of the analytics of resource problems and to deploy numerical methods when analytical results prove intractable. The combination of analysis, theory and applications will launch the next generation of

The power of national and transnational constitutional courts to issue binding rulings in interpreting the constitution or an international treaty has been endlessly discussed. What does it mean for democratic governance that non-elected judges influence politics and policies? The authors of Judicial Power - legal scholars, political scientists, and judges - take a fresh look at this problem. To date, research has concentrated on the legitimacy, or the effectiveness, or specific decision-making methods of constitutional courts. By contrast, the authors here explore the relationship among these three factors. This book presents the hypothesis that judicial review allows for a method of reflecting on social integration that differs from political methods, and, precisely because of the difference between judicial and political decision-making, strengthens democratic governance. This hypothesis is tested in case studies on the role of constitutional courts in political transformations, on

Discover a modern approach to the analysis, modeling and design of high sensitivity phased arrays. Network theory, numerical methods and computational electromagnetic simulation techniques are uniquely combined to enable full system analysis and design optimization. Beamforming and array signal processing theory are integrated into the treatment from the start. Digital signal processing methods such as polyphase filtering and RFI mitigation are described, along with technologies for real-time hardware implementation. Key concepts from interferometric imaging used in radio telescopes are also considered. A basic development of theory and modeling techniques is accompanied by problem sets that guide readers in developing modeling codes that retain the simplicity of the classical array factor method while incorporating mutual coupling effects and interactions between elements. Combining current research trends with pedagogical material suitable for a first-year graduate course, this is an

Bone is the tissue most frequently recovered archaeologically and is the material most commonly studied by biological anthropologists, who are interested in how skeletons change shape during growth and across evolutionary time. This volume brings together a range of contemporary studies of bone growth and development to highlight how cross-disciplinary research and new methods can enhance our anthropological understanding of skeletal variation. The novel use of imaging techniques from developmental biology, advanced sequencing methods from genetics, and perspectives from evolutionary developmental biology improve our ability to understand the bases of modern human and primate variation. Animal models can also be used to provide a broad biological perspective to the systematic study of humans. This volume is a testament to the drive of anthropologists to understand biological and evolutionary processes that underlie changes in bone morphology and illustrates the continued value of incor

Intelligent technical systems, which combine mechanical, electrical and software engineering with methods from control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. The Collaborative Research Center 614 "Self-optimizing concepts and structures in mechanical engineering" pursued the long-term aim to enable others to develop dependable self-optimizing systems. Assuring their dependability poses new challenges. However, self-optimization also offers the possibility to adapt the system's behavior to improve dependability during operation. The aim of this book is to provide methods and techniques to master the challenges and to exploit the possibilities given by self-optimization. The reader will be able to develop self-optimizing systems that fulfill and

Classical computable model theory is most naturally concerned with countable domains. There are, however, several methods – some old, some new – that have extended its basic concepts to uncountable structures. Unlike in the classical case, however, no single dominant approach has emerged, and different methods reveal different aspects of the computable content of uncountable mathematics. This book contains introductions to eight major approaches to computable uncountable mathematics: descriptive set theory; infinite time Turing machines; Blum-Shub-Smale computability; Sigma-definability; computability theory on admissible ordinals; E-recursion theory; local computability; and uncountable reverse mathematics. This book provides an authoritative and multifaceted introduction to this exciting new area of research that is still in its early stages. It is ideal as both an introductory text for graduate and advanced undergraduate students and a source of interesting new approaches for resear

Many research problems in cryospheric science, such as global warming-induced permafrost degradation, require information about the subsurface, which can be imaged using geophysical methods. This book is a practical guide to the application of geophysical techniques in mountainous and polar terrain, where the harsh environment and nature of the subsurface pose particular challenges. It starts with an introduction to the main geophysical methods and then demonstrates their application in periglacial environments through various case studies - written by a team of international experts. The final part of the book presents a series of reference tables with typical values of geophysical parameters for periglacial environments. This handbook is a valuable resource for glaciologists, geomorphologists and geologists requiring an introduction to geophysical techniques, as well as for geophysicists lacking experience of planning and conducting field surveys in cold regions.

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applicat

Indispensable for students, invaluable for researchers, this comprehensive treatment of contemporary quasi–Monte Carlo methods, digital nets and sequences, and discrepancy theory starts from scratch with detailed explanations of the basic concepts and then advances to current methods used in research. As deterministic versions of the Monte Carlo method, quasi–Monte Carlo rules have increased in popularity, with many fruitful applications in mathematical practice. These rules require nodes with good uniform distribution properties, and digital nets and sequences in the sense of Niederreiter are known to be excellent candidates. Besides the classical theory, the book contains chapters on reproducing kernel Hilbert spaces and weighted integration, duality theory for digital nets, polynomial lattice rules, the newest constructions by Niederreiter and Xing and many more. The authors present an accessible introduction to the subject based mainly on material taught in undergraduate courses wi

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

Many research problems in cryospheric science, such as global warming-induced permafrost degradation, require information about the subsurface, which can be imaged using geophysical methods. This book is a practical guide to the application of geophysical techniques in mountainous and polar terrain, where the harsh environment and nature of the subsurface pose particular challenges. It starts with an introduction to the main geophysical methods and then demonstrates their application in periglacial environments through various case studies - written by a team of international experts. The final part of the book presents a series of reference tables with typical values of geophysical parameters for periglacial environments. This handbook is a valuable resource for glaciologists, geomorphologists and geologists requiring an introduction to geophysical techniques, as well as for geophysicists lacking experience of planning and conducting field surveys in cold regions.

This definitive introduction to finite element methods was thoroughly updated for this 2007 third edition, which features important material for both research and application of the finite element method. The discussion of saddle-point problems is a highlight of the book and has been elaborated to include many more nonstandard applications. The chapter on applications in elasticity now contains a complete discussion of locking phenomena. The numerical solution of elliptic partial differential equations is an important application of finite elements and the author discusses this subject comprehensively. These equations are treated as variational problems for which the Sobolev spaces are the right framework. Graduate students who do not necessarily have any particular background in differential equations, but require an introduction to finite element methods will find this text invaluable. Specifically, the chapter on finite elements in solid mechanics provides a bridge between mathemati

As the analysis of social networks, or networks of interpersonal and social relationships among social groups, has become an increasingly important method of research in several of the social and behavioural sciences, the gathering of network data has outpaced the development of new methods for its analysis. Addressing the need for analytical tools, Philippa Pattison presents a number of algebraic models for the analysis of network data, explaining in the process the rationale for an algebraic approach. Models are developed for both complete networks, meaning those representing the social ties between all pairs of members in a given group, and local networks, meaning those structured around the social ties of one particular group member. Many applications are presented and the ways that these methods can address a number of important issues confronting network analysis are explained.

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the last five decades. Within this framework this is the first book to discuss the principles of the nonparametric approach to the topics covered in a first year graduate course in econometrics, e.g. regression function, heteroskedasticity, simultaneous equations models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers, owing to the methods' ability to adapt to many unknown features of the data. Professors Pagan and Ullah provide intuitive explanations of difficult concepts, heuristic developments of theory, and empirical examples emphasizing the usefulness of the modern nonparametric approach. The book should provide a new perspective on teaching and research in applied subjects in general and econometrics and statistics in particular.

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the last five decades. Within this framework this is the first book to discuss the principles of the nonparametric approach to the topics covered in a first year graduate course in econometrics, e.g. regression function, heteroskedasticity, simultaneous equations models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers, owing to the methods' ability to adapt to many unknown features of the data. Professors Pagan and Ullah provide intuitive explanations of difficult concepts, heuristic developments of theory, and empirical examples emphasizing the usefulness of the modern nonparametric approach. The book should provide a new perspective on teaching and research in applied subjects in general and econometrics and statistics in particular.

As the analysis of social networks, or networks of interpersonal and social relationships among social groups, has become an increasingly important method of research in several of the social and behavioural sciences, the gathering of network data has outpaced the development of new methods for its analysis. Addressing the need for analytical tools, Philippa Pattison presents a number of algebraic models for the analysis of network data, explaining in the process the rationale for an algebraic approach. Models are developed for both complete networks, meaning those representing the social ties between all pairs of members in a given group, and local networks, meaning those structured around the social ties of one particular group member. Many applications are presented and the ways that these methods can address a number of important issues confronting network analysis are explained.

Operations on the heart and the prevalence of coronary thrombosis are widely discussed in newspapers and magazines; the importance of this book is that by simple and accurate information it enables the layman as well as doctors to understand the disturbances produced by disease and how they may be corrected or avoided. By discussing our methods against the background of their gradual evolution throughout history the reader is enabled to view the advances of the day in their proper perspective and to appreciate our indebtedness to the work of doctors and scientists in past centuries. It is stressed that the magnificent achievements of present-day surgeons must not be allowed to detract from the very important though less spectacular advances which have been made both in the medical treatment and prevention of heart disease. This book describes, in historical sequence, the progress in understanding the heart's action, the diagnosis of its disorders and their treatment from the time of Hi

Morphological structures interact dynamically with lexical processing and storage, with the parameters of morphological typology being partly dependent on cognitive pathways for processing, storage and generalization of word structure, and vice versa. Bringing together a team of well-known scholars, this book examines the relationship between linguistic cognition and the morphological diversity found in the world's languages. It includes research from across linguistic and cognitive science sub-disciplines that looks at the nature of typological diversity and its relationship to cognition, touching on concepts such as complexity, interconnectedness within systems, and emergent organization. Chapters employ experimental, computational, corpus-based and theoretical methods to examine specific morphological phenomena, and an overview chapter provides a synthesis of major research trends, contextualizing work from different methodological and philosophical perspectives. Offering a novel pe

Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social e

Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social e

Written by leaders in the addictions field, 100 authors from six countries, this handbook is a thoroughly comprehensive resource. Philosophical and legal issues are addressed, while conceptual underpinnings are provided through explanations of appetitive motivation, incentive sensitization, reward deficiency, and behavioral economics theories. Major clinical and research methods are clearly mapped out (e.g. MRI, behavioral economics, interview assessments, and qualitative approaches), outlining their strengths and weaknesses, giving the reader the tools needed to guide their research and practice aims. The etiology of addiction at various levels of analysis is discussed, including neurobiology, cognition, groups, culture, and environment, which simultaneously lays out the foundations and high-level discourse to serve both novice and expert researchers and clinicians. Importantly, the volume explores the prevention and treatment of such addictions as alcohol, tobacco, novel drugs, food,

Written by leaders in the addictions field, 100 authors from six countries, this handbook is a thoroughly comprehensive resource. Philosophical and legal issues are addressed, while conceptual underpinnings are provided through explanations of appetitive motivation, incentive sensitization, reward deficiency, and behavioral economics theories. Major clinical and research methods are clearly mapped out (e.g. MRI, behavioral economics, interview assessments, and qualitative approaches), outlining their strengths and weaknesses, giving the reader the tools needed to guide their research and practice aims. The etiology of addiction at various levels of analysis is discussed, including neurobiology, cognition, groups, culture, and environment, which simultaneously lays out the foundations and high-level discourse to serve both novice and expert researchers and clinicians. Importantly, the volume explores the prevention and treatment of such addictions as alcohol, tobacco, novel drugs, food,

The primary aim of this book is to provide a synthesis of our current understanding of hemoglobin function and evolution, and to illustrate how research on one particular family of proteins has provided general insights into mechanisms of protein evolution and biochemical adaptation. In doing so, it will also promote an appreciation of how mechanistic insights into protein function can enrich our understanding of how evolution works. Reciprocally, it highlights how approaches in evolutionary genetics (such as phylogenetic comparative methods and ancestral sequence reconstruction) can be brought to bear on questions about the functional evolution of proteins. This treatise on the functional evolution of hemoglobin illustrates how research on a single, well-chosen model system can enhance our investigative acuity and bring key conceptual questions into especially sharp focus.

The widespread use of mouse models in developmental, behavioural and genetic studies has sparked wider interest in rodent biology as a whole. This book brings together the latest research on rodents to better understand the evolution of both living and extinct members of this fascinating group. Topics analysed include the role of molecular techniques in the determination of robust phylogenetic frameworks; how geometric morphometric methods help quantify and analyse variation in shape; and the role of developmental biology in elucidating the origins of skeletal elements and the teeth. The editors unite these disciplines to present the current state of knowledge in rodent biology, whilst setting the landscape for future research. This book highlights interdisciplinary links across palaeontology, developmental biology, functional morphology, phylogenetics and biomechanics, making it a valuable resource for evolutionary biologists in all fields.

First published in 1984, this volume comprised a broad synthesis of contemporary research on sheep reproduction conducted in Australia. Australia is internationally recognized for the excellence of its research in this field, and heads the world in areas of the neuro-endocrine control of reproduction, reproductive behaviour, artificial insemination and manipulation of reproductive performance, to name just a few. The book comprises some 23 review papers and short communications, all refereed by experts in the field, covering such topics as neuro-endocrinology, sexual behaviour, testicular and ovular function, pregnancy and foetal growth, parturition, lamb survival, nutrition and genetics. Advanced methods, developed in the seventies and early eighties to control reproductive function, gene manipulation and intra-uterine insemination are also considered, together with the managerial and economic values of such developments.

In his Mattioli Lectures, Nobel Laureate Professor Herbert A. Simon directs attention to the kinds of empirical research that are necessary for progress in microeconomics. He traces the development of neoclassical economic theory and its gradual retreat from empiricism to abstraction. He then discusses the importance of business firms to the economic system, and the need for a thoroughly empirical understanding of how organisations work and reach their decisions. Finally, he examines innovative approaches to empirical research, including experimental economics, observational methods for studying economic behaviour, and the kinds of simulation models that are needed to interpret decision process. A round-table discussion of these issues follows; the participants, in addition to Professor Simon, are Professors Claudio Dematte, Massimo Egidi, Richard M. Goodwin, Robert Marris, Aldo Montesano and Riccardo Viale.

Currency crises in Europe and Mexico during the 1990s provided stark reminders of the importance and the fragility of international financial markets. These experiences led some commentators to conclude that open international capital markets are incompatible with financial stability. But the pre-1914 gold standard is an obvious challenge to the notion that open capital markets are sources of instability. To deepen our understanding of how this system worked, this volume draws together recent research on the gold standard. Theoretical models are used to guide qualitative discussions of historical experience, while econometric methods are used to help the historical data speak clearly. The result is an overview of the gold standard, a survey of the relevant applied research in international macroeconomics, and a demonstration of how the past can help to inform the present.

The theory of polycyclic groups is a branch of infinite group theory which has a rather different flavour from the rest of that subject. This book is a comprehensive account of the present state of this theory. As well as providing a connected and self-contained account of the group-theoretical background, it explains in detail how deep methods of number theory and algebraic group theory have been used to achieve some very recent and rather spectacular advances in the subject. Up to now, most of this material has only been available in scattered research journals, and some of it is new. This book is the only unified account of these developments, and will be of interest to mathematicians doing research in algebra, and to postgraduate students studying that subject.

In the clinical neurosciences, decision-making becomes ever more complicated because of rapidly emerging new diagnostic tests and treatments and increasing demands from patients to participate in their management. This concise but wide-ranging handbook reviews the epidemiology of neurological disease and the treatment and prognosis of all major diseases of the nervous system. Part one offers essential guidance for clinicians to quantitative methods in research, including genetic epidemiology, decision analysis, meta-analysis, outcomes research and survival analysis, and thus provides a good understanding of the evidence underlying clinical management. The second part is devoted to individual neurological diseases, covering etiology, diagnosis, prognosis, interventions, and implications for clinical practice. With contributions from leading international authorities, this book is an invaluable guide to clinical decision-making for neurologists and others involved in the management of ne

Currency crises in Europe and Mexico during the 1990s provided stark reminders of the importance and the fragility of international financial markets. These experiences led some commentators to conclude that open international capital markets are incompatible with financial stability. But the pre-1914 gold standard is an obvious challenge to the notion that open capital markets are sources of instability. To deepen our understanding of how this system worked, this volume draws together recent research on the gold standard. Theoretical models are used to guide qualitative discussions of historical experience, while econometric methods are used to help the historical data speak clearly. The result is an overview of the gold standard, a survey of the relevant applied research in international macroeconomics, and a demonstration of how the past can help to inform the present.

Fluid flow turbulence is a phenomenon of great importance in many fields of engineering and science. Turbulence and related areas have continued to be subjects of intensive research over the last century. In this second edition of their successful textbook Professors Landahl and Mollo-Christensen have taken the opportunity to include recent developments in the field of chaos and its applications to turbulent flow. This timely update continues the original theme of the book: presenting the fundamental concepts and basic methods of fluid flow turbulence which enable the reader to follow the literature and understand current research. The emphasis upon the dynamic processes that create and maintain turbulent flows gives this book an original approach. This book should be useful to graduate students and researchers in fluid dynamics and, in particular, turbulence and related fields.

Since the classification of finite simple groups was announced in 1980 the subject has continued to expand opening many new areas of research. This volume contains a collection of papers, both survey and research, arising from the 1990 Durham conference in which the excellent progress of the decade was surveyed and new goals considered. The material is divided into eight sections: sporadic groups; moonshine; local and geometric methods in group theory; geometries and related groups; finite and algebraic groups of Lie type; finite permutation groups; further aspects of Lie groups; related topics. The list of contributors is impressive and the subjects covered include many of the fascinating developments in group theory that have occurred in recent years. It will be an invaluable document for mathematicians working in group theory, combinatorics and geometry.

This is the first book devoted to the role of chemical synthetic techniques in the development of advanced ceramic materials. It bridges the gap between existing volumes dealing with the properties of ceramic materials, for example their mechanical properties, and those on chemistry. The author describes the variety of advanced ceramics and their conventional synthesis and fabrication. This is followed by a description of the range of non-conventional synthetic methods. The basic chemistry of the synthesis is described and well-illustrated by reference to ceramics made on both laboratory and industrial scales. This resource book will be of value to anyone working with advanced ceramics in research laboratories, and to postgraduate students and research workers in chemistry, material science, physics, metallurgy and mechanical engineering departments involved with ceramic materials.

Transform your research into commercial biomedical products with this revised and updated second edition. Covering drugs, devices and diagnostics, this book provides a step-by-step introduction to the process of commercialization, and will allow you to create a realistic business plan to develop your ideas into approved biomedical technologies. This new edition includes: Over 25% new material, including practical tips on startup creation from experienced entrepreneurs. Tools for starting, growing and managing a new venture, including business planning and commercial strategy, pitching investors, and managing operations. Global real-world case studies, including emerging technologies such as regulated medical software and Artificial Intelligence (AI), offer insights into key challenges and help illustrate complex points. Tips and operational tools from established industry insiders, suitable for graduate students and new biomedical entrepreneurs.

This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations.

While little recognized in international law scholarship, multilateral treaties in diverse fields have begun to apply strategic management techniques to make them more effective and responsive. This examination of those practices and their interplay with associated international organizations considers the application of strategic management across treaties' planning, financing, implementation, and evaluation activities. The study leads to a new appreciation of the intricacies of multilateral treaty activities and a better understanding of their operations within complex webs of networked international institutions. In considering different approaches to steering treaties through this dispersed global governance landscape, Thomas F. McInerney draws on current strategic management literature to explore the utility of nonlinear, emergent models of strategy and gain insights from strategy as practice research. While recognizing strategic management's potential value in facilitating more f

This book explores how the creations of great authors result from the same operations as our everyday counterfactual and hypothetical imaginations, which cognitive scientists refer to as 'simulations'. Drawing on detailed literary analyses as well as recent research in neuroscience and related fields, Patrick Colm Hogan develops a rigorous theory of the principles governing simulation that goes beyond any existing framework. He examines the functions and mechanisms of narrative imagination, with particular attention to the role of theory of mind, and relates this analysis to narrative universals. In the course of this theoretical discussion, Hogan explores works by Austen, Faulkner, Shakespeare, Racine, Brecht, Kafka and Calvino. He pays particular attention to the principles and parameters defining an author's narrative idiolect, examining the cognitive and emotional continuities that span an individual author's body of work.

This book explores how the creations of great authors result from the same operations as our everyday counterfactual and hypothetical imaginations, which cognitive scientists refer to as 'simulations'. Drawing on detailed literary analyses as well as recent research in neuroscience and related fields, Patrick Colm Hogan develops a rigorous theory of the principles governing simulation that goes beyond any existing framework. He examines the functions and mechanisms of narrative imagination, with particular attention to the role of theory of mind, and relates this analysis to narrative universals. In the course of this theoretical discussion, Hogan explores works by Austen, Faulkner, Shakespeare, Racine, Brecht, Kafka and Calvino. He pays particular attention to the principles and parameters defining an author's narrative idiolect, examining the cognitive and emotional continuities that span an individual author's body of work.