Download Free Regulated Agent Based Social Systems Book in PDF and EPUB Free Download. You can read online Regulated Agent Based Social Systems and write the review.

This book presents selected extended and reviewed versions of the papers accepted for the First International Workshop on Regulated Agent Systems: Theory and Applications, RASTA 2002, held in Bologna, Italy, in July 2002, as part of AAMAS 2002. In addition, several new papers on the workshop theme are included as well; these were submitted and reviewed in response to a further call for contributions. The construction of artificial agent societies deals with questions and problems that are already known from human societies. The 16 papers in this book establish an interdisciplinary community of social scientists and computer scientists devoting their research interests to exploiting social theories for the construction and regulation of multi-agent systems.
"It is not the consciousness of men that defines their existence, but, on the contrary, their social existence determines their consciousness." Karl Marx In recent years, several researchers have argued that the design of multi-agent sys tems (MAS) in complex, open environments can benefit from social abstractions in order to cope with problems in coordination, cooperation and trust among agents, problems which are also present in human societies. The agent-mediated electronic institutions (e-institutions for short) is a new and promising field which focuses in the concepts of norms and institutions in order to pro vide normative frameworks to restrict or guide the behaviour of (software) agents. The main idea is that the interactions among a group of (software) agents are ruled by a set of explicit norms expressed in a computational language representation that agents can interpret. Such norms should not be considered as a negative constraining factor but as an aid that guides the agents' choices and reduces the complexity ofthe environment making the behaviour of other agents more predictable.
Tobacco consumption continues to be the leading cause of preventable disease and death in the United States. The Food and Drug Administration (FDA) regulates the manufacture, distribution, and marketing of tobacco products - specifically cigarettes, cigarette tobacco, roll-your-own tobacco, and smokeless tobacco - to protect public health and reduce tobacco use in the United States. Given the strong social component inherent to tobacco use onset, cessation, and relapse, and given the heterogeneity of those social interactions, agent-based models have the potential to be an essential tool in assessing the effects of policies to control tobacco. Assessing the Use of Agent-Based Models for Tobacco Regulation describes the complex tobacco environment; discusses the usefulness of agent-based models to inform tobacco policy and regulation; presents an evaluation framework for policy-relevant agent-based models; examines the role and type of data needed to develop agent-based models for tobacco regulation; provides an assessment of the agent-based model developed for FDA; and offers strategies for using agent-based models to inform decision making in the future.