This third volume in the Routledge Focus on Women Writers in Organization Studies series challenges us to think again about the implications of gender, embodiment and fluidity for organizing and managing. The themes of this book disrupt our understanding of dualisms between sex (men and women), gender (masculinity and femininity) and mind / body, and in so doing analyze the ways in which dominant power relations constitute heteronormativity throughout organizational history, thereby reinforcing mainstream management research and teaching. By centring the work of women writers, this book gives recognition to their thinking and praxis; each writer making political inroads into changing the lived experiences of those who have suffered discrimination, exclusion and marginalization as they consider the ways in which organizational knowledge has tended to privilege rather than problematize masculinity, fixity, control, normativity, violence and discrimination. The themes and authors (Acker, de Beauvoir, Halberstam, Kosofsky Sedgwick, Kristeva, Yourcenar) covered in this book are important precisely because they are not generally encountered in mainstream writing on management and organization studies. They are significant to the study and analysis of organizations because they demonstrate how our understanding of managing and organizing can be transformed when other voices/bodies/genders write on what it is work, live, lead and relate to self and others. All the writers turn to the ways in which individuals matter organizationally, acknowledging that lived experiences are a source of political and ethical practice. Each Woman Writer is introduced and analyzed by experts in organization studies. Further reading and accessible resources are also identified for those interested in knowing more. This book will be relevant to students, researchers and practitioners with an interest in business and management, organizational studies, critical management studies, gender studies and sociology. Like all the books in this series, it will also be of interest to anyone who wants to see, think and act differently.

There have been two critical leadership approaches. First Generation Leadership (command and control) was the dominant model until the 1940s. Second Generation Leadership (compliance coupled with rewards and punishments) is still dominant today. This approach is being rejected by 'Generation Y ', threatening the longevity of traditional organisations. In Third Generation Leadership and the Locus of Control, Douglas Long acknowledges the need for a leadership approach that elicits engagement, commitment, and enhanced personal, group, and organisational accountability. This is Third Generation Leadership. At its core lies the issue of where we centre our brain's locus of control and how this impacts on our understanding of and approach to leadership. With examples from everyday situations, underpinned by research, this book is about understanding and applying aspects of neuroscience critical for tomorrow's world. It provides a framework for addressing problems through insights into how the way we use our brains affects values, worldviews and behaviours. The author introduces the concept of 'red zone - blue zone' to explain the differences between a brain controlled by its stem-limbic areas (red zone) and the limbic-cortical cortex areas (blue zone). This becomes a short hand for describing and applying knowledge from neuroscience to encourage practitioners in leadership and management roles to achieve desired outcomes through becoming acquainted with different areas of their brain. Anyone grappling with what is required to deal with Generation Y people in a networked and mobile age will welcome this introduction to the world of third generation leadership.

Decision makers in the Renewable Energy sector face an increasingly complex social, economic, technological, and environmental scenario in their decision process. Different groups of decision-makers become involved in the process, each group bringing along different criteria therefore, policy formulation for fossil fuel substitution by Renewable Energies must be addressed in a multi-criteria context. Multi Criteria Analysis in the Renewable Energy Industry is a direct response to the increasing interest in the Renewable Energy industry which can be seen as an important remedy to many environmental problems that the world faces today. The multiplicity of criteria and the increasingly complex social, economic, technological, and environmental scenario makes multi-criteria analysis a valuable tool in the decision-making process for fossil fuel substitution. The detailed chapters explore the use of the Multi-criteria decision-making methods and how they provide valuable assistance in reaching equitable and acceptable solutions in the selection of renewable energy projects. Common multi-criteria decision-making methods including Analytical Hierarchy Process, PROMETHEE, ELECTRE, TOPSIS and VIKOR are explored in detail with an application case of each method included at the end of each chapter. As such, Multi Criteria Analysis in the Renewable Energy Industry is an ideal resource for those groups of individuals, institutions and administration such as local authorities, academic institutions, environmental groups, and governments that, through their priorities and evaluation systems, have interests at stake and directly or indirectly influence the decision-making process.

There are some events in life that are inevitable, and the emergence of problems in the workplace is one. Solutions sets out to provide remedies that are accessible, practical, meaningful, and final. Well organized, and referenced to specific operations, this book provides troubleshooting and other assistance, and serves as an encyclopedic reference for answers to organizational problems for managers and practitioners. All the functional activities and operations of organizations are included, so that almost any problem or issue that may occur will be addressed in one or more chapters. Readers will be able to quickly locate, understand and use a specific tool or technique to solve a problem. The different tools available are described, or a single most useful tool indicated. The tool is then explained in depth with an example of how it can be used. The strengths and weaknesses of individual tools are identified and there are suggestions for further help. Solutions is essential for anyone wanting to learn the basics of business problem solving and those who might know the basics but want to expand their understanding.

Architects and engineers can build models to test their ideas - why not managers? In Game Theory in Management: Modelling Business Decisions and Their Consequences, author Michael Hatfield presents a series of mathematically structured analogies to real-life business and economic interaction scenarios, and then, using modern game theory, he shows how to test common managerial technical approaches for their effectiveness. His results are astonishing: if game theory is correct then many commonly-held and taught management approaches and techniques are not only less effective than thought, they are actually detrimental in many areas where they are held to be beneficial. Game Theory in Management also examines managerial implications from network theory, cartage schemes, risk management theory, management information system epistemology, and other areas where the quantification and testing of business decisions can be employed to identify winning and losing stratagems.

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical concepts and practical tools for both defining and determining similarity between intuitionistic fuzzy sets. It describes an automatic algorithm for deriving intuitionistic fuzzy sets from data, which can aid in the analysis of information in large databases. The book also discusses other important applications, e.g. the use of similarity measures to evaluate the extent of agreement between experts in the context of decision making.

This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies.

Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following:

Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains
Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene
Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs
Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies.

This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society.

Previous editions of Action Learning in Practice established this authoritative overview of action learning around the world. Over the last decade the move towards action-based organizational learning and development has accelerated, and action learning is now an established part of the education and development mainstream in large and small organizations. Fully revised and updated, this fourth edition covers the origins of action learning with Reg Revans' ideas, and looks at their development and application today. Action learning is self-directed learning through tackling business and work problems with the support of peers and colleagues. A professional and diverse workforce, attracted, influenced and developed in this way is more able to deal effectively with the growing complexity and pressures of working life. As the limits of conventional training and development become more obvious, leaders are increasingly attracted to action-based approaches to learning when seeking better outcomes and returns on investment.

This book provides an overview of, and practical guidance on, the range of human factors (HF) methods that can be used for the purposes of accident analysis and investigation in complex sociotechnical systems. Human Factors Methods and Accident Analysis begins with an overview of different accident causation models and an introduction to the concepts of accident analysis and investigation. It then presents a discussion focussing on the importance of, and difficulties associated with, collecting appropriate data for accident analysis purposes. Following this, a range of HF-based accident analysis methods are described, as well as step-by-step guidance on how to apply them. To demonstrate how the different methods are applied, and what the outputs are, the book presents a series of case study applications across a range of safety critical domains. It concludes with a chapter focussing on the data challenges faced when collecting, coding and analysing accident data, along with future directions in the area. Human Factors Methods and Accident Analysis is the first book to offer a practical guide for investigators, practitioners and researchers wishing to apply accident analysis methods. It is also unique in presenting a series of novel applications of accident analysis methods, including HF methods not previously used for these purposes (e.g. EAST, critical path analysis), as well as applications of methods in new domains.

"Optimal Design of Complex Mechanical Systems" presents the foundations and practical application of multi-objective optimization methods to Vehicle Design Problems with an extensive overview of examples. The first part provides an introduction and a general theoretical information about the optimization of complex mechanical systems and multi-objective optimization methods. Several presented applications such as the global approximation approach are brand new in literature and extensively exposed the first time in this book. The second Part of the book shows some examples of the application of the proposed methods to the solution of real vehicle design problems.

This book presents some of the most important papers published in Palgrave's Journal of Operational Research relating to the use of System Dynamics (SD) in the context of Operational Research (OR). Giving the reader an in-depth understanding of significant features of the research area which have grown over the last 20 years: applications in the management field; methodologies; policies at industry level; and healthcare, this book is an invaluable read for those who do not have any prior expertise in the field. Split into four parts, the collection covers the broad use of SD in the field of management, focuses on the use of modelling in supply chains and at industry level, and presents an analysis of the use of SD in its most promising area, healthcare. Not only does this work provide a detailed overview of the field of SD, but it will also offer vital insights into potential research avenues for the future considering the use of SD as a soft OR and hard OR method.

Society heavily depends on infrastructure systems, such as road-traffic networks, water networks, electricity networks, etc. Infrastructure systems are hereby considered to be large-scale, networked systems, that almost everybody uses on a daily basis, and that are so vital that their incapacity or destruction would have a debilitating impact on the defense or economic security and functioning of society. The operation and control of existing infrastructures such as road-traffic networks, water networks, electricity networks, etc. are failing: too often we are confronted with capacity problems, unsafety, unreliability and inefficiency. This book concentrates on a wide range of problems concerning the way infrastructures are functioning today and discuss novel advanced, intelligent, methods and tools for the operation and control of existing and future infrastructures.

When a venture seems to be faltering, do you persist and hope that things will get better or do you cut your losses? This may be one of the most important decisions business or project owners may ever have to make. Persistence involves the risk of throwing good money (or resources) after bad, but owners may feel they have too much invested to quit now. Escalation in Decision-Making reveals why social scientists believe that owners may not respond rationally to such predicaments. Instead of exiting when the odds are clearly stacked against them, they re-invest and end up compounding their losses - a phenomenon known as escalation of commitment. The authors, Helga Drummond and Julia Hodgson, also introduce the concept of entrapment, a variation whereby decision-makers passively drift towards insolvency as the cost of changing direction becomes too high. So: A* what drives escalation? A* why do some owners quit whilst others persist until the bailiffs arrive? A* what can we learn from owners' mistakes? A* what makes newcomers believe they can succeed where others are conspicuously failing? These questions of behavioural economics are answered using a narrative that analyses decisions made by market traders facing economic extinction. Many highly successful entrepreneurs started their careers in markets - it was once an almost guaranteed route to prosperity - now market traders are struggling to survive. Although the market traders featured are small entrepreneurs, the ubiquitous phenomenon of escalation at the heart of these stories is widely relevant to practitioners such as project managers in large organizations and to those responsible for managing risk in many situations. Rich in case studies involving real business decisions and dilemmas, Escalation in Decision-Making provides an accessible introduction to the application of theory against a background of growing interest in behavioural economics, now being researched and taught in univ

The book shows readers exactly how to use Lean tools to design healthcare work that is smooth, efficient, error free and focused on patients and patient outcomes. It includes in-depth discussions of every important Lean tool, including value stream maps, takt time, spaghetti diagrams, workcell design, 5S, SMED, A3, Kanban, Kaizen and many more, all presented in the context of healthcare. For example, the book explains the importance of quick operating room or exam room changeovers and shows the reader specific methods for drastically reducing changeover time. Readers will learn to create healthcare value streams where workflows are based on the pull of customer/patient demand. The book also presents a variety of ways to continue improving after initial Lean successes. Methods for finding the root causes of problems and implementing effective solutions are described and demonstrated. The approach taught here is based on the Toyota Production System, which has been adopted worldwide by healthcare organizations for use in clinical, non-clinical and administrative areas.

Following careers in the military and in industry, Robert Grattan has devoted himself to the subject of strategy and its related theory through his research into the strategy implementation employed by business, governments and the military. Strategy process is widely studied and taught but, argues Robert Grattan, comprehensive prescriptive theories have yet to be developed. This book is based on analysis of the strategic defence review (SDR) conducted by the UK Ministry of Defence, the methodology for which has been employed in other countries. The study focuses on how the review was managed through the twin lenses of strategic business management theory and the 'Essence of Decision' theory of governmental decision-making closely associated with the John F. Kennedy School of Government in the USA. The author has been fortunate in being granted interviews with the leading figures in Government, the Civil Service and the Military who participated in the SDR process and in having gained access to information in Ministry of Defence files under Freedom of Information legislation. The result is Strategic Review, a book that provides vivid insights into what happened in a large complex organisation during a major strategic review and highlights the problems likely to be encountered during the process of formulating strategy in business, in government, in sport and any other human endeavour. It will appeal to many in business intrigued by the similarities between the issues facing business and military strategists; to those involved in public policy-making; to the defence community; and to academics and higher level students with an interest in this rich field of study.

The 'MisLeadership' of this book's title is a description of the phenomenon the authors have uncovered through their analysis of the validity, or otherwise, of current leadership styles and achievements, in the light of the challenges leaders face, and particularly of the urgent global issues with which business leaders are now confronted. John Rayment and Jonathan Smith examine existing approaches to leadership with a focus on their shortcomings, categorized according to the four main types of misLeadership the authors have identified - Missing, Misguided, Misinformed and Machiavellian leadership. Each of these forms of misleadership has a corollary in one of the four elements of the kind of holistic leadership that the authors advocate - the capacity for effective decision making, the adoption of a global perspective, the move to a new business paradigm to replace the current economic and social one, and commitment to a contemporary mission. From Rayment and Smith's passionately argued, but well reasoned perspective, leaders, the led and those responsible for leadership development will gain an insight into the prevalence and causes of misleadership and into ways in which it can be identified and overcome. A range of examples and case studies is provided to enable the concepts presented here to be related to practice. As well as illustrating instances of 'misleadership' these also demonstrate that the emphasis in relation to the decision making models currently available to leaders may not be the most important stages of the processes involved. The global perspective emphasized by the authors is not just about globality in the geographical sense. An important part of the way forward suggested here involves considering all aspects of humanity - the physical, mental and spiritual strength, stamina and fitness of individuals, groups and societies, in the context of a 'Global Fitness Framework'. All this is presented in a practical and approachable style that enables these authors to introduce a new approach to a key element of management thinking, in a way that will encourage and empower individuals to think on a different scale, challenge assumptions and exercise effective leadership.

Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques. This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

Russell Ackoff is a very special management thinker. As an architect, city planner, doctor of philosophy, behavioral scientist, trailblazer in the fields of organizational, operations, and systems theory, bestselling author, distinguished Wharton School professor, and head of his own management education and consulting firm, he qualifies, as do few others in this century, for the title of "Renaissance Man." Fortunately, he makes up for this grievous shortcoming by also being an outrageously funny observer of homo commercium. Now, Ackoff's Best offers you an opportunity to become acquainted with this irreverent genius who, over the past forty years, has done so much to shape our understanding of the modern business organization.

Compiled by the author, Ackoff's Best encapsulates the author's most controversial, influential, and wittiest work to appear since the 1970s. Ackoff's groundbreaking exploration of systems theory and its effect on business provides the backbone of this collection. Also included are his most lasting and thought-provoking writings on an array of topics in business, society, and human behavior that well reflect the sweeping scope of Ackoff's intellect and expertise. From managing teams, maximizing the effectiveness of information systems, and problem solving, to creativity, crime, and the role of the corporation in a democratic society, these writings are a cornucopia of insights, observations, and powerful lessons that will help you maximize your personal development and the effectiveness of your organization.

An excellent introduction for newcomers to Russell Ackoff, and a welcome compendium of Ackoff's pithiest writings for those already familiar with his ideas from such classic works as Creating the Corporate Future and The Art of Problem Solving, Ackoff's Best is required reading for every intelligent businessperson.

"The range, depth, and perspectives of these essays on management illustrate, once again, Russ Ackoff's unique genius."—Warren Bennis, University Professor, University of Southern California, and Co-author, Co-Leaders

"Russ Ackoff uses words that cut through the familiar and open doors in one's brain."—Arie P. de Geus, Author, The Living Company

"Ackoff's Best captures the lucid and compelling explorations of one of the most profound and influential thinkers of our time."—Ray Stata, Chairman of the Board, Analog Devices

"This collection reminds me that I have learned my most valuable lessons from Russ Ackoff."—Vince Barabba, General Manager, Corporate Strategy and Knowledge Development, General Motors Corporation

No matter how many resources we consume we never seem to have enough. The Economics of Abundance is a balanced book in which Wolfgang Hoeschele challenges why this is so. He claims that our current capitalist economy can exist only on the basis of manufactured scarcity created by 'scarcity-generating institutions', and these institutions manipulate both demand and supply of commodities. Therefore demand consistently exceeds supply, and profits and economic growth can continue - at the cost of individual freedom, social equity, and ecological sustainability. The fact that continual increases in demand are so vital to our economy leads to an impasse: many people see no alternative to the generation of ever more demand, but at the same time recognize that it is clearly unsustainable ecologically and socially. So, can demand only be reduced by curtailing freedom and is this acceptable? This book argues that, by analyzing how scarcity-generating institutions work and then reforming or dismantling them, we can enhance individual freedom and support entrepreneurial initiative, and at the same time make progress toward social justice and environmental sustainability by reducing demands on vital resources. This vision would enable activists in many fields (social justice, civil liberties, and environmental protection), as well as many entrepreneurs and other members of civil society to work together much more effectively, make it more difficult to portray all these groups as contradictory special interests, and thereby help generate momentum for positive change. Meanwhile, for academics in many fields of study, the concept of the creation of scarcity or abundance may be a highly useful analytical tool.

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.

This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects. An appendix summarizes some of the basics of optimization needed to interpret the material in the book. In detail, the topics the book covers in its three parts are as follows: Stop location - Does it make sense to open new stations along existing bus or railway lines? If yes, in which locations? The problem is modeled as a continuous covering problem. To solve it, the author develops a finite dominating set and shows that efficient methods are possible if the special structure of the covering matrix is used; Delay management - Should a train wait for delayed feeder trains or should it depart in time?

Intellectual property has rapidly become one of the most important, as well as most controversial, subjects in recent years amongst productive thinkers of many kinds all over the world. Scientific work and technological progress now depend largely on questions of who owns what, as do the success and profits of countless authors, artists, inventors, researchers and industrialists. Economic, legal and ethical issues play a central role in the increasingly complex balance between unilateral gains and universal benefits from the "knowledge society." Economics, Law and Intellectual Property explores the field in both depth and breadth through the latest views of leading experts in Europe and the United States. It provides a fundamental understanding of the problems and potential solutions, not only in doing practical business with ideas and innovations, but also on the level of institutions that influence such business. Addressing a range of readers from individual scholars to company managers and policy makers, it gives a unique perspective on current developments.

This research monograph summarizes a line of research that maps certain classical problems of discrete mathematics and operations research - such as the Hamiltonian Cycle and the Travelling Salesman Problems - into convex domains where continuum analysis can be carried out. Arguably, the inherent difficulty of these, now classical, problems stems precisely from the discrete nature of domains in which these problems are posed. The convexification of domains underpinning these results is achieved by assigning probabilistic interpretation to key elements of the original deterministic problems. In particular, the approaches summarized here build on a technique that embeds Hamiltonian Cycle and Travelling Salesman Problems in a structured singularly perturbed Markov decision process. The unifying idea is to interpret subgraphs traced out by deterministic policies (including Hamiltonian cycles, if any) as extreme points of a convex polyhedron in a space filled with randomized policies. The above innovative approach has now evolved to the point where there are many, both theoretical and algorithmic, results that exploit the nexus between graph theoretic structures and both probabilistic and algebraic entities of related Markov chains. The latter include moments of first return times, limiting frequencies of visits to nodes, or the spectra of certain matrices traditionally associated with the analysis of Markov chains. However, these results and algorithms are dispersed over many research papers appearing in journals catering to disparate audiences. As a result, the published manuscripts are often written in a very terse manner and use disparate notation, thereby making it difficult for new researchers to make use of the many reported advances. Hence the main purpose of this book is to present a concise and yet easily accessible synthesis of the majority of the theoretical and algorithmic results obtained so far. In addition, the book discusses numerous open questions and problems that arise from this body of work and which are yet to be fully solved. The approach casts the Hamiltonian Cycle Problem in a mathematical framework that permits analytical concepts and techniques, not used hitherto in this context, to be brought to bear to further clarify both the underlying difficulty of NP-completeness of this problem and the relative exceptionality of truly difficult instances. Finally, the material is arranged in such a manner that the introductory chapters require very little mathematical background and discuss instances of graphs with interesting structures that motivated a lot of the research in this topic. More difficult results are introduced later and are illustrated with numerous examples.

Sociological theories of crime include: theories of strain blame crime on personal stressors; theories of social learning blame crime on its social rewards, and see crime more as an institution in conflict with other institutions rather than as in- vidual deviance; and theories of control look at crime as natural and rewarding, and explore the formation of institutions that control crime. Theorists of corruption generally agree that corruption is an expression of the Patron-Client relationship in which a person with access to resources trades resources with kin and members of the community in exchange for loyalty. Some approaches to modeling crime and corruption do not involve an explicit simulation: rule based systems; Bayesian networks; game theoretic approaches, often based on rational choice theory; and Neoclassical Econometrics, a rational choice-based approach. Simulation-based approaches take into account greater complexities of interacting parts of social phenomena. These include fuzzy cognitive maps and fuzzy rule sets that may incorporate feedback; and agent-based simulation, which can go a step farther by computing new social structures not previously identified in theory. The latter include cognitive agent models, in which agents learn how to perceive their en- ronment and act upon the perceptions of their individual experiences; and reactive agent simulation, which, while less capable than cognitive-agent simulation, is adequate for testing a policy's effects with existing societal structures. For example, NNL is a cognitive agent model based on the REPAST Simphony toolkit.