Modeling Rational Agents
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Author | : Nicola Giocoli |
Publisher | : Edward Elgar Publishing |
Total Pages | : 482 |
Release | : 2003-01-01 |
Genre | : Political Science |
ISBN | : 9781781956472 |
"This book explores the evolution, through the first half of the 20th century, of the key neoclassical concept of rationality. The analysis begins with the development of modern decision theory, covers the interwar debates over the role of perfect foresight and analyzes the first game-theoretic solution concepts of von Neumann and Nash. The author's proposition is that the notion of rationality suffered a profound transformation that reduced it to a formal property of consistency. Such a transformation paralleled that of neoclassical economics as a whole from a discipline dealing with real economic processes to one investigating issues of logical consistency between mathematical relationships."
Author | : Nicola Giocoli |
Publisher | : Edward Elgar Publishing |
Total Pages | : 0 |
Release | : 2003 |
Genre | : Economics |
ISBN | : 9781840648683 |
This text explores the evolution of the neoclassical concept of rationality during the first half of the 20th century, starting from the development of modern decision theory, through the interwar debates on the role of perfect foresight to the 'game theoretic' concepts of von Neumann and Nash.
Author | : Michael Wooldridge |
Publisher | : MIT Press |
Total Pages | : 256 |
Release | : 2003-01-01 |
Genre | : Computers |
ISBN | : 9780262265027 |
This book focuses on the belief-desire-intention (BDI) model of rational agents, which recognizes the primacy of beliefs, desires, and intentions in rational action. One goal of modern computer science is to engineer computer programs that can act as autonomous, rational agents; software that can independently make good decisions about what actions to perform on our behalf and execute those actions. Applications range from small programs that intelligently search the Web buying and selling goods via electronic commerce, to autonomous space probes. This book focuses on the belief-desire-intention (BDI) model of rational agents, which recognizes the primacy of beliefs, desires, and intentions in rational action. The BDI model has three distinct strengths: an underlying philosophy based on practical reasoning in humans, a software architecture that is implementable in real systems, and a family of logics that support a formal theory of rational agency.The book introduces a BDI logic called LORA (Logic of Rational Agents). In addition to the BDI component, LORA contains a temporal component, which allows one to represent the dynamics of how agents and their environments change over time, and an action component, which allows one to represent the actions that agents perform and the effects of the actions. The book shows how LORA can be used to capture many components of a theory of rational agency, including such notions as communication and cooperation.
Author | : Peter Danielson |
Publisher | : New York : Oxford University Press |
Total Pages | : 474 |
Release | : 1998 |
Genre | : Ethics |
ISBN | : 0195125495 |
These essays focus on questions that arise when morality is considered from the perspective of rational choice and evolution. It links questions like ""is it rational to be moral?"" to the evolution of co-operation, and uses models from game theory, evolutionary biology and cognitive science.
Author | : Michael N. Huhns |
Publisher | : Morgan Kaufmann |
Total Pages | : 552 |
Release | : 1998 |
Genre | : Computers |
ISBN | : 9781558604957 |
This book collects the most significant literature on agents in an attempt top forge a broad foundation for the field. Includes papers from the perspectives of AI, databases, distributed computing, and programming languages. The book will be of interest to programmers and developers, especially in Internet areas.
Author | : John-Jules C. Meyer |
Publisher | : Springer |
Total Pages | : 260 |
Release | : 2003-07-31 |
Genre | : Computers |
ISBN | : 3540465812 |
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.
Author | : Soe-Tsyr Yuan |
Publisher | : Springer |
Total Pages | : 247 |
Release | : 2003-06-30 |
Genre | : Computers |
ISBN | : 3540446370 |
The increasing importance of intelligent agents and their impact on industry/business worldwide is well documented through academic research papers and industrial reports. There is a strong affinity between the Web a worldwide distributed computing environment and the capability of intelligent agents to act on and through software. The ultimate goal of intelligent agents is to accelerate the evolution of the Web from a passive, static medium to a tuned, highly valued environment. This volume contains selected papers from PRIMA 2001, the fourth Pacific Rim International Workshop on Multi-Agents, held in Taipei, Taiwan, July 28-29, 2001. In this volume, the papers cover specification, modeling, and applications of intelligent agents. PRIMA is a series of workshops on autonomous agents and multi-agent systems, integrating the activities in Asia and the Pacific Rim countries. PRIMA 2001 built on the great success of its predecessors, PRIMA98 i n Singapore, PRIMA99 i n Kyoto, Japan, and PRIMA 2000 in Melbourne, Australia. The aim of PRIMA 2001 was to bring together researchers from Asia and the Pacific Rim and developers from academia and industry to report on the latest technical advances or domain applications and to discuss and explore scientific and practical problems as raised by the participants.
Author | : Alberto H. F. Laender |
Publisher | : Springer Nature |
Total Pages | : 575 |
Release | : 2019-10-28 |
Genre | : Computers |
ISBN | : 3030332233 |
This book constitutes the refereed proceedings of the 38th International Conference on Conceptual Modeling, ER 2019, held in Salvador, Brazil, in November 2019. The 22 full and 22 short papers presented together with 4 keynotes were carefully reviewed and selected from 142 submissions. This events covers a wide range of topics, covered in the following sessions: conceptual modeling, big data technology I, process modeling and analysis, query approaches, big data technology II, domain specific models I, domain specific models II, decision making, complex systems modeling, model unification, big data technology III, and requirements modeling.
Author | : Adamatti, Diana Francisca |
Publisher | : IGI Global |
Total Pages | : 402 |
Release | : 2014-04-30 |
Genre | : Computers |
ISBN | : 1466659556 |
Social simulation can be a difficult discipline to encompass fully. There are many methods, models, directions, and theories that can be discussed and applied to various social sciences. Anthropology, sociology, political science, economy, government, and management can all benefit from social simulation. Interdisciplinary Applications of Agent-Based Social Simulation and Modeling aims to bring a different perspective to this interdisciplinary topic. This book presents current discussions and new insights on social simulation as a whole, focusing on its dangers, pitfalls, deceits, and challenges. This book is an essential reference for researchers in this field, professionals using social simulation, and even students studying this discipline.
Author | : Peter S.C. Heuberger |
Publisher | : Springer Science & Business Media |
Total Pages | : 432 |
Release | : 2005-06-30 |
Genre | : Technology & Engineering |
ISBN | : 9781852339562 |
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing. Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.