Adaptive Trust Modeling in Multi-agent Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Adaptive Trust Modeling in Multi-agent Systems PDF full book. Access full book title Adaptive Trust Modeling in Multi-agent Systems by Karen Katherine Fullam. Download full books in PDF and EPUB format.
Author: Karen Katherine Fullam
Publisher:
ISBN:
Category : Intelligent agents (Computer software)
Languages : en
Pages : 428
Get Book Here
Book Description
Trust among individuals is essential for transactions. A human or software agent in need of resources may reduce transaction risk by modeling the trustworthiness of potential partners. Experience- and reputation-based trust models have unique advantages and disadvantages depending on environment factors, including availability of experience opportunities, trustee trustworthiness dynamics, reputation accuracy, and reputation cost. This research identifies how trusters may utilize both experience- and reputation-based trust modeling to achieve more accurate decision-making tools than using either modeling technique alone. The research produces: 1) the Adaptive Trust Modeling technique for combining experience- vs. reputation-based models to produce the most accurate aggregated model possible, 2) a quantitative analysis of the tradeoffs between experience- and reputation-based models to determine conditions under which each type of model is favorable, and 3) an Adaptive Cost Selection algorithm for assessing the value of trust information given acquisition costs. Experiments show that Adaptive Trust Modeling yields an aggregate trust model more accurate than either experience- or reputation-based modeling alone, and Adaptive Cost Selection acquires the optimal combination of trust information, maximizing a truster's transaction payoff while minimizing trust information costs. These tools enable humans and software agents to make effective trust-based decisions given dynamic system conditions.
Author: Karen Katherine Fullam
Publisher:
ISBN:
Category : Intelligent agents (Computer software)
Languages : en
Pages : 428
Get Book Here
Book Description
Trust among individuals is essential for transactions. A human or software agent in need of resources may reduce transaction risk by modeling the trustworthiness of potential partners. Experience- and reputation-based trust models have unique advantages and disadvantages depending on environment factors, including availability of experience opportunities, trustee trustworthiness dynamics, reputation accuracy, and reputation cost. This research identifies how trusters may utilize both experience- and reputation-based trust modeling to achieve more accurate decision-making tools than using either modeling technique alone. The research produces: 1) the Adaptive Trust Modeling technique for combining experience- vs. reputation-based models to produce the most accurate aggregated model possible, 2) a quantitative analysis of the tradeoffs between experience- and reputation-based models to determine conditions under which each type of model is favorable, and 3) an Adaptive Cost Selection algorithm for assessing the value of trust information given acquisition costs. Experiments show that Adaptive Trust Modeling yields an aggregate trust model more accurate than either experience- or reputation-based modeling alone, and Adaptive Cost Selection acquires the optimal combination of trust information, maximizing a truster's transaction payoff while minimizing trust information costs. These tools enable humans and software agents to make effective trust-based decisions given dynamic system conditions.
Author: Karl Tuyls
Publisher: Springer Science & Business Media
ISBN: 3540779477
Category : Computers
Languages : en
Pages : 263
Get Book Here
Book Description
This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts, softwareengineeringexperts,mathematicians,biologistsandphysicists,andgive a representative overviewof current state of a?airs in this area. It is an inclusive forum where researchers can present recent work and discuss their newest ideas for a ?rst time with their peers. Thesymposiaseriesfocusesonallaspectsofadaptiveandlearningagentsand multi-agent systems, with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. These symposia were a great success and provided a forum for the pres- tation of new ideas and results bearing on the conception of adaptation and learning for single agents and multi-agent systems. Over these three editions we received 51 submissions, of which 17 were carefully selected, including one invited paper of this year’s invited speaker Simon Parsons. This is a very c- petitive acceptance rate of approximately 31%, which, together with two review cycles, has led to a high-quality LNAI volume. We hope that our readers will be inspired by the papers included in this volume.
Author: Karl Tuyls
Publisher: Springer
ISBN: 3540779493
Category : Computers
Languages : en
Pages : 263
Get Book Here
Book Description
This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts, softwareengineeringexperts,mathematicians,biologistsandphysicists,andgive a representative overviewof current state of a?airs in this area. It is an inclusive forum where researchers can present recent work and discuss their newest ideas for a ?rst time with their peers. Thesymposiaseriesfocusesonallaspectsofadaptiveandlearningagentsand multi-agent systems, with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. These symposia were a great success and provided a forum for the pres- tation of new ideas and results bearing on the conception of adaptation and learning for single agents and multi-agent systems. Over these three editions we received 51 submissions, of which 17 were carefully selected, including one invited paper of this year’s invited speaker Simon Parsons. This is a very c- petitive acceptance rate of approximately 31%, which, together with two review cycles, has led to a high-quality LNAI volume. We hope that our readers will be inspired by the papers included in this volume.
Author: Fernando De La Prieta
Publisher: Springer Nature
ISBN: 3030519996
Category : Computers
Languages : en
Pages : 422
Get Book Here
Book Description
This book constitutes the refereed proceedings of the workshops co-located with the 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020, held in L’Aquila, Italy, in October 2020. The total of 21 full and 13 short papers presented in this volume were carefully reviewed and selected from 57 submissions. The papers in this volume stem from the following meetings: Workshop on Agent-Based Artificial Markets Computational Economics (ABAM); Workshop on Agents and Edge-AI (AgEdAI); Workshop on Character Computing (C2); Workshop on MAS for Complex Networks and Social Computation (CNSC); Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI); Workshop on Multi-Agent Systems and Simulation (MAS&S); Workshop on Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems (MASGES); Workshop on Smart Cities and Intelligent Agents (SCIA).
Author: Liangjun You
Publisher: ProQuest
ISBN: 9780549319719
Category : Artificial intelligence
Languages : en
Pages :
Get Book Here
Book Description
In the emerging Electronic Marketplace, intelligent agents that are reactive, proactive and social will become the major players. These intelligent agents will search for good deals, evaluate trading partners and eventually provide advice on or even make decisions on transactions for their principals. To this end, it is vitally important for the agents to be able to precisely estimate the trust of the business partners to make successful deals. This dissertation proposes an adaptive reputation-based trust model which can be utilized by intelligent agents in an open Electronic Marketplace, where the seller agents and buyer agents can enter and leave the market freely and the service quality and price of goods vary. The trust model is based on an agent's reputation history, witness testimony, and other weighting factors. Learning is integrated to make the trust model adaptive and robust in a dynamic environment. To verify the proposed adaptive reputation-based trust model and the significance of the constructs and factors of the model and to compare the performance of the proposed model with other models, a multi-agent system is built to simulate the interactions among these agents.
Author: Dignum, Virginia
Publisher: IGI Global
ISBN: 1605662577
Category : Technology & Engineering
Languages : en
Pages : 630
Get Book Here
Book Description
"This book provide a comprehensive view of current developments in agent organizations as a paradigm for both the modeling of human organizations, and for designing effective artificial organizations"--Provided by publisher.
Author: Yves Demazeau
Publisher: Springer Science & Business Media
ISBN: 3642004873
Category : Computers
Languages : en
Pages : 603
Get Book Here
Book Description
PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2009 edition. These articles capture the most innovative results and this year’s trends: Assisted Cognition, E-Commerce, Grid Computing, Human Modelling, Information Systems, Knowledge Management, Agent-Based Simulation, Software Development, Transports, Trust and Security. Each paper has been reviewed by three different reviewers, from an international committee composed of 64 members from 20 different countries. From the 92 submissions received, 35 were selected for full presentation at the conference, and 26 were accepted as posters.
Author: Vimala Balakrishnan
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Jiming Liu
Publisher: World Scientific
ISBN: 9810242824
Category : Computers
Languages : en
Pages : 302
Get Book Here
Book Description
An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems. The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system.
Author: George Vouros
Publisher: Springer
ISBN: 3642023770
Category : Computers
Languages : en
Pages : 156
Get Book Here
Book Description
Adaptation, for purposes of self-healing, self-protection, self-management, or self-regulation, is currently considered to be one of the most challenging pr- erties of distributed systems that operate in dynamic, unpredictable, and - tentially hostile environments. Engineering for adaptation is particularly c- plicated when the distributed system itself is composed of autonomous entities that, on one hand, may act collaboratively and with benevolence, and, on the other,maybehavesel?shlywhilepursuingtheirowninterests.Still,theseentities have to coordinate themselves in order to adapt appropriately to the prevailing environmental conditions, and furthermore, to deliberate upon their own and the system’s con?guration, and to be transparent to their users yet consistent with any human requirements. The question, therefore, of “how to organize the envisagedadaptationforsuchautonomousentitiesinasystematicway”becomes of paramount importance. The ?rst international workshop on “Organized Adaptation in Multi-Agent Systems” (OAMAS) was a one-day event held as part of the workshop p- gram arranged by the international conference on Autonomous Agents and Multi-Agent Systems (AAMAS). It was hosted in Estoril during May, 2008, and was attended by more than 30 researchers. OAMAS was the steady convergence of a number of lines of research which suggested that such a workshop would be timely and opportune. This includes the areas of autonomic computing, swarm intelligence, agent societies, self-organizing complex systems, and ‘emergence’ in general.
