These twelve essays explore the nature of south Asian agrarian society and examine the extent to which it changed during the period of British rule. The central focus of the book is directed to peasant agitation and violence and four of the studies look at the agrarian explosion that formed the background to the 1857 Mutiny. The essays give a coherent historical treatment of the Indian peasant world, and the paperback edition of this successful book will be of interest to the student of peasant studies and to the sociologist as well as to development economists and agronomists generally.

This up-to-date new textbook provides a thorough treatment of all the central topics in public economics. Aimed at senior undergraduate and graduate students, it will also be invaluable to professional economists and to those teaching in the field. The book is entirely self-contained, giving all the equilibrium theory and welfare economics needed to understand the analyses. The author covers the Arrow-Debreu economy, welfare economics and the measurement of inequality and povery which lay the foundations and emphasize the important role played by information. Within the competitive economy, he examines commodity taxation, income taxation and tax reform in a certain environment. He goes on to study the public economics of uncertainty, and then treats public goods, externalities, imperfect competition and tax evasion as departures from the standard competitive assumptions and looks at their implication for public economics derived. Finally, after treatment of the overlapping generations economy, he addresses intertemporal issues concerning social security and debts.

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.
"An excellent text for both students and experts in answer-set programming and knowledge representation."
Chitta Baral, Arizona State University
"Michael Gelfond is one of the creators of answer-set programming, a new programming methodology based on artificial intelligence that has already found several important applications. I am extremely impressed by the clarity of thought and examples provided. The authors are to be congratulated on this excellent addition to the literature."
Vladimir Lifschitz, University of Texas, Austin
This in-depth introduction to knowledge representation and reasoning and their use in designing agents for answering logical and probabilistic queries, planning, diagnostics, and other intelligent tasks is based on answer set programming, a powerful knowledge-representation paradigm. It is intended as a textbook for courses in Artificial Intelligence and will also interest researchers wanting to learn more about recent developments.

This book has brought together some of the foremost scholars of South Asian and global history, who were colleagues and associates of Professor John F. Richards, to discuss themes that marked his work as a historian in an academic career of almost forty years. It encapsulates discussions under the rubric of 'frontiers' in multiple contexts. Frontier has often been conceived as a space of transformation marking new forms of economic organization, commodity trade, land settlement and state authority. The essays here underline the range of interests and approaches that marked Professor Richards' illustrious career - frontiers and state building; frontiers and environmental change; cultural frontiers; frontiers, trade and drugs; and frontiers and world history. The volume discusses issues from medieval to early modern South Asian history. It also reflects a concern for large-scale global processes and for the detailed specificities of each historical case as evident in Professor Richards' work.

Multiagent systems combine multiple autonomous entities, each having diverging interests or different information. This overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming.

Ernest Gellner (1925-1995) has been described as "one of the last great central European polymath intellectuals." In this, his last book, he throws new light on two key figures of the twentieth century: the philosopher Wittgenstein, and Malinowski, founder of modern British social anthropology. Gellner shows how the thought of both men grew from a common background of assumptions about human nature, society, and language. He ties together themes that preoccupied him, epitomizing his belief that philosophy--far from "leaving everything as it is"--is about important historical, social and personal issues

Description Contents Resources Courses About the Authors
Why are some African countries trapped in vicious cycles of ethnic exclusion and civil war, while others experience relative peace? In this groundbreaking book, Philip Roessler addresses this question. Roessler models Africa's weak, ethnically-divided states as confronting rulers with a coup-civil war trap - sharing power with ethnic rivals is necessary to underwrite societal peace and prevent civil war, but increases rivals' capabilities to seize sovereign power in a coup d'état. How rulers respond to this strategic trade-off is shown to be a function of their country's ethnic geography and the distribution of threat capabilities it produces. Moving between in-depth case studies of Sudan and the Democratic Republic of the Congo based on years of field work and statistical analyses of powersharing, coups and civil war across sub-Saharan Africa, the book serves as an exemplar of the benefits of mixed methods research for theory-building and testing in comparative politics.
Fills the gap in civil war literature on the strategic logic of why rulers choose policies that lead to large-scale political violence
Serves as an exemplar of how to combine qualitative and quantitative research methods for theory building and testing in comparative politics
Provides new insights into the origins of two of Africa's deadliest conflicts - the civil war in Darfur, Sudan and Africa's Great War in the Democratic Republic of the Congo

Conventional wisdom portrays war zones as chaotic and anarchic. In reality, however, they are often orderly. This work introduces a new phenomenon in the study of civil war: wartime social order. It investigates theoretically and empirically the emergence and functioning of social order in conflict zones. By theorizing the interaction between combatants and civilians and how they impact wartime institutions, the study delves into rebel behavior, civilian agency and their impact on the conduct of war. Based on years of fieldwork in Colombia, the theory is tested with qualitative and quantitative evidence on communities, armed groups, and individuals in conflict zones. The study shows how armed groups strive to rule civilians, and how the latter influence the terms of that rule. The theory and empirical results illuminate our understanding of civil war, institutions, local governance, non-violent resistance and the emergence of political order.

In everyday life we must often reach decisions while knowing that the outcome will not only depend on our own choice, but also on the choices of others. These situations are the focus of epistemic game theory. Unlike classical game theory, it explores how people may reason about their opponents before they make their final choice in a game. Packed with examples and practical problems based on stories from everyday life, this is the first textbook to explain the principles of epistemic game theory. Each chapter is dedicated to one particular, natural way of reasoning. The book then shows how each of these ways of reasoning will affect the final choices that can rationally be made and how these choices can be found by iterative procedures. Moreover, it does so in a way that uses elementary mathematics and does not presuppose any previous knowledge of game theory.

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Morocco is notable for its stable and durable monarchy, its close ties with the West, its vibrant cultural life, and its centrality to regional politics. This book, by distinguished historian, Susan Gilson Miller, offers a richly documented survey of modern Moroccan history. The author's original and astute interpretations of the events, ideas, and personalities that inform contemporary political life are testimony to her scholarship and long association with the country. Arguing that pragmatism rather than ideology has shaped the monarchy's response to crisis, the book begins with the French invasion of Algeria in 1830 and Morocco's abortive efforts at reform, the duel with colonial powers and the loss of independence in 1912, the burdens and benefits of France's forty-four year dominion, and the stunning success of the nationalist movement leading to independence in 1956. In the post-independence era, the book traces the monarchy's gradual monopolization of power and the resulting political paralysis, ending with the last years of Hassan II's reign, when Moroccan society experienced a sudden and radical opening. A postscript brings events up to 2012, covering topics such as Morocco's "war on terror," the détente between the monarchy and the Islamists, and the impact of the Arab Spring. This concise, readable book will inform and enthrall students coming to the history of North Africa for the first time, and also those in other disciplines searching for the background to present-day events in the region.

More Heat Than Light is a history of how physics has drawn some inspiration from economics and also how economics has sought to emulate physics, especially with regard to the theory of value. It traces the development of the energy concept in Western physics and its subsequent effect upon the invention and promulgation of neoclassical economics. Any discussion of the standing of economics as a science must include the historical symbiosis between the two disciplines. Starting with the philosopher Emile Meyerson's discussion of the relationship between notions of invariance and causality in the history of science, the book surveys the history of conservation principles in the Western discussion of motion. Recourse to the metaphors of the economy are frequent in physics, and the concepts of value, motion, and body reinforced each other throughout the development of both disciplines, especially with regard to practices of mathematical formalisation. However, in economics subsequent misuse of conservation principles led to serious blunders in the mathematical formalisation of economic theory. The book attempts to provide the reader with sufficient background in the history of physics in order to appreciate its theses. The discussion is technically detailed and complex, and familiarity with calculus is required.

Now in paperback: the most reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: www.stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists.

Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social scientists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/family schedules, communication scholars and micro-sociologists who study conversation, interaction structures and small-group dynamics, as well as social epidemiologists.

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 applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Understanding and predicting the behavior of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the past thirty years. An understanding of individual consumer behavior can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy selection, as well as public welfare analysis. This book is a reference work dealing with the study and prediction of consumer choice behavior, concentrating on stated preference (SP) methods. It shows how SP methods can be implemented, from experimental design to econometric modeling. The book also presents an update of econometric approaches to choice modeling.

Drawing on Chinese cultural and philosophical traditions, this book offers a ground breaking reinterpretation of world politics from Yaqing Qin, one of China's leading scholars of international relations. Qin has pioneered the study of constructivism in China and developed a variant of this approach, arguing that culture defined in terms of background knowledge nurtures social theory and enables theoretical innovation. Building upon this argument, this book presents the concept of 'relationality', shifting the focus from individual actors to the relations amongst actors. This ontology of relations examines the unfolding processes whereby relations create the identities of actors and provide motivations for their actions. Appealing to scholars of international relations theory, social theory and Chinese political thought, this exciting new concept will be of particular interest to those who are seeking to bridge Eastern and Western approaches for a truly global international relations project.