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This book includes many cases that provide new perspectives in developing agent-based modeling and simulation. The real problems are complex, and sophisticated methodology is needed to handle them. Agent-based modeling and simulation is one methodology that provides a bottom-up experimental approach applicable to social sciences such as economics, management, sociology, and politics as well as some engineering fields dealing with social activities. However, to improve the applicability of agent-based modeling and simulation methods, a new perspective is needed. In this book, that new perspective is developed and utilized to deal with many cases of real-world problems such as the supply chain, land use and land cover, transportation, health, services, economics, and social problems. The cases are selected from papers presented at the Ninth International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Bali, Indonesia, in 2015. At the workshop, 29 reviewed full papers were presented, and of those, 16 were selected to be included in this volume.

Business. --- Knowledge management. --- Management. --- Industrial management. --- Operations research. --- Decision making. --- Engineering economics. --- Engineering economy. --- Economic policy. --- Economics. --- Business and Management. --- Innovation/Technology Management. --- Knowledge Management. --- R & D/Technology Policy. --- Economic Systems. --- Operation Research/Decision Theory. --- Engineering Economics, Organization, Logistics, Marketing. --- Social sciences --- Economics --- Computer simulation --- Mathematical models --- Economic theory --- Political economy --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Economic man --- Political Economy/Economic Systems. --- Operations Research/Decision Theory. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Economic nationalism --- Economic planning --- National planning --- State planning --- Planning --- National security --- Social policy --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Administration --- Industrial relations --- Organization --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business --- Industrial organization --- Decision making

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This volume applies a systems science perspective to complex policy making dynamics, using the case of Indonesia to illustrate the concepts. Indonesia is an archipelago with a high heterogeneity. Her people consist of 1,340 tribes who are scattered over 17,508 islands. Every region has different natural strengths and conditions. In the national development process all regions depend on one another other while optimizing their own conditions. In addition to this diversity, Indonesia also employs a democratic system of government with high regional autonomy. A democratic government puts a high value on individual freedom, but on the other hand, conflicts of interest also occur frequently. High regional autonomy also often causes problems in coordination among agencies and regional governments. This uniqueness creates a kind of complexity that is rarely found in other countries.These daily complexities requires intensive interaction, negotiation processes, and coordination. Such necessities should be considered in public policy making and in managing the implementation of national development programs. In this context, common theories and best practices generated on the basis of more simplified assumptions often fail. Systems science offer a way of thinking that can take into account and potentially overcome these complexities. However, efforts to apply systems science massively and continuously in real policy making by involving many stakeholders are still rarely carried out. The first part of the book discusses the gap between the existing public policy-making approach and needs in the real world. After that, the characteristics of the appropriate policy-making process in a complex environment and how this process can be carried are described. In later sections, important systems science concepts that can be applied in managing these complexities are discussed. Finally, the efforts to apply these concepts in real cases in Indonesia are described.

Social policy. --- Social structure. --- Social inequality. --- Economic sociology. --- Communication. --- Economics. --- Social Policy. --- Communication Studies. --- Social Structure, Social Inequality. --- Organizational Studies, Economic Sociology. --- Equality. --- Egalitarianism --- Inequality --- Social equality --- Social inequality --- Organization, Social --- Social organization --- National planning --- State planning --- Economic policy --- Family policy --- Social history --- Political science --- Sociology --- Democracy --- Liberty --- Anthropology --- Social institutions --- Economic sociology --- Economics --- Socio-economics --- Socioeconomics --- Sociology of economics --- Communication, Primitive --- Mass communication --- Social aspects

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