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Reputation in Artificial Societies
Reputation In Artificial Societies discusses the role of reputation in the achievement of social order. The book proposes that reputation is an agent property that results from transmission of beliefs about how the agents are evaluated with regard to a socially desirable conduct. This desirable conduct represents one or another of the solutions to the problem of social order and may consist of cooperation or altruism, reciprocity, or norm obedience. Reputation In Artificial Societies distinguishes between image (direct evaluation of others) and reputation (propagating metabelief, indirectly acquired) and investigates their effects with regard to both natural and electronic societies. The interplay between image and reputation, the processes leading to them and the set of decisions that agents make on their basis are demonstrated with supporting data from agentbased simulations.
Cognitive and Social Action
This monograph addresses the worlds of social science theory and artificial intelligence AI. The book examines the interaction of individual cognitive factors and social influence on human action and discusses the implications for developments in artificial intelligence.; This book is intended for graduate and research level artificial intelligence and social science theory including sociology, economics, psychology.
Artificial Societies
An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
Social Emergence
This book argues that societies are complex dynamical systems that can be understood through the concept of emergence.
Agent Autonomy
Autonomy is a characterizing notion of agents, and intuitively it is rather unambiguous. The quality of autonomy is recognized when it is perceived or experienced, yet it is difficult to limit autonomy in a definition. The desire to build agents that exhibit a satisfactory quality of autonomy includes agents that have a long life, are highly independent, can harmonize their goals and actions with humans and other agents, and are generally socially adept. Agent Autonomy is a collection of papers from leading international researchers that approximate human intuition, dispel false attributions, and point the way to scholarly thinking about autonomy. A wide array of issues about sharing control and initiative between humans and machines, as well as issues about peer level agent interaction, are addressed.
Multi-Agent Programming
Multi-Agent Programming is an essential reference for anyone interested in the most up-to-date developments in MAS programming. While previous research has focused on the development of formal and informal approaches to analyze and specify Multi-Agent Systems, this book focuses on the development of programming languages and tools which not only support MAS programming, but also implement key concepts of MAS in a unified framework. Part I describes approaches that rely on computational logic or process algebra – Jason, 3APL, IMPACT, and CLAIM/SyMPA. Part II presents languages and platforms that extend or are based on Java – JADE, Jadex and JACKTM. Part III provides two significant industry specific applications – The DEFACTO System for coordinating human-agent teams for disaster response, and the ARTIMIS rational dialogue agent technology. Also featured are seven appendices for quick reference and comparison.
Formal Models of Agents
This volume provides a selection of strictly refereed papers first presented during a workshop held within the context of the ESPRIT ModelAge Project in Certosa di Pertignano, Italy, in 1997. The 15 revised full papers presented together with an introductory survey by the volume editors were carefully reviewed for inclusion in the book. The book is devoted to the interdisciplinary study of formal models of agency and intelligent agents from the points of view of artificial intelligence, software engineering, applied logic, databases, and organization theory. Among the topics addressed are various types of agents and multi-agent systems, cooperation, communication, specification, verification, deontic logic, diagnosis, and decision making.
Multi-Agent-Based Simulation III
This volume presents revised versions of the papers presented at the 4th International Workshop on Multi-agent Based Simulation (MABS 2003), a workshop federated with the2ndInternationalJointConferenceonAutonomousAgentsandMulti-agentSystems (AAMAS 2003), which was held in Melbourne, Australia, in July 2003. In addition to the papers presented at the workshop, three additional papers have been included in this volume (Robertson, Noto et al., and Marietto et al.). Multiagent Based Simulation (MABS) is a vibrant interdisciplinary area which brings together researchers active within the agent-based social simulation community (ABSS) and the multiagent systems community (MAS). These two communities have different, indeed somewhat divergent, goals. The focus of ABSS is on simulating and synthesizing social behaviors in order to understand observed social systems (human, animal and even electronic) via the development and testing of new models and c- cepts. MAS focuses instead on the solution of hard engineering problems related to the construction, deployment and ef?cient operation of multiagent-based systems.
Selective Incapacitation and Public Policy
From the 1970s to the new millennium, the prison population in the United States has quadrupled while an unprecedented amount of sentencing reform has taken place, largely intended to protect the public from dangerous criminals. This book details the California experience, including the history and politics of criminal sentencing policy reform, as well as the consequences of this activity to the criminal justice system. Using cutting-edge computer simulation modeling, Kathleen Auerhahn explores the impact that sentencing reforms dating back to the 1970s have had on the composition and structure of the criminal justice system, with specific focus on prison populations. She illustrates how dynamic systems simulation modeling is used to both examine "possible futures" under a variety of sentencing structures and sentencing policy alternatives, including narrowing "strike zones" and the early release of elderly offenders, in order to more effectively target the dangerous criminals these policies promise to remove from society via incarceration.
Social dilemmas, institutions, and the evolution of cooperation
The question of how cooperation and social order can evolve from a Hobbesian state of nature of a “war of all against all” has always been at the core of social scientific inquiry. Social dilemmas are the main analytical paradigm used by social scientists to explain competition, cooperation, and conflict in human groups. The formal analysis of social dilemmas allows for identifying the conditions under which cooperation evolves or unravels. This knowledge informs the design of institutions that promote cooperative behavior. Yet to gain practical relevance in policymaking and institutional design, predictions derived from the analysis of social dilemmas must be put to an empirical test. T...
