Enhanced Reputation Model with Forgiveness for E-Business Agents

2011 ◽  
Vol 3 (1) ◽  
pp. 11-26 ◽  
Author(s):  
Radu Burete ◽  
Amelia Badica ◽  
Costin Badica ◽  
Florin Moraru
Keyword(s):  
Computational Models ◽  
Business Environment ◽  
Quality Attribute ◽  
Agent Based ◽  
Agent Platform ◽  
Business Transactions ◽  
Multi Agent ◽  
Important Quality ◽  
Reputation Model ◽  
Sample Set

Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

Enhanced Reputation Model with Forgiveness for E-Business Agents

2012 ◽  
pp. 147-163
Author(s):  
Radu Burete ◽  
Amelia Badica ◽  
Costin Badica ◽  
Florin Moraru
Keyword(s):  
Computational Models ◽  
Business Environment ◽  
Quality Attribute ◽  
Agent Based ◽  
Agent Platform ◽  
Design And Implementation ◽  
Multi Agent ◽  
Important Quality ◽  
Reputation Model ◽  
Sample Set

Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

Agent-Based Modelling in Multicellular Systems Biology

2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini
Keyword(s):  
Developmental Biology ◽  
Drosophila Melanogaster ◽  
Systems Biology ◽  
Computational Models ◽  
The Self ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

scholarly journals Cooperation Design System Based on Mobile-C Agent Platform

2011 ◽  
Vol 1 ◽  
pp. 16-20
Author(s):  
Bo Yu ◽  
Zi Xian Zhang ◽  
Yi Xiong Feng ◽  
Luis Ariel Diago ◽  
Ichiro Hagiwara
Keyword(s):  
Distributed Systems ◽  
Industrial Applications ◽  
Self Organization ◽  
Design System ◽  
Multi Agent System ◽  
Effective Mechanism ◽  
Agent Based ◽  
Agent Platform ◽  
The Past ◽  
Multi Agent

Over the past decades, Distributed Systems (DS) have been adopted for industrial applications to improve the system efficiency because distributed architecture has advantages in resource utilization, fault toleration .etc. Multi-Agent System (MAS) arises from combination of the theories of artificial intelligence and distributed systems. One character of MAS is their self-organization, so how to implement an effective mechanism for self-organization of agents is important to a MAS system, this paper describes the design and implementation of a Mobile-C based agent management system, in which Mobile-C was adopted as the implementation platform, and this paper also described an agent-based cooperative design application using this system to manage all the agents involved.

An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

2015 ◽  
pp. 482-502
Author(s):  
Masoomeh Moradi ◽  
Abdollah Aghaie ◽  
Monireh Hosseini
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Environment ◽  
Marketing Mix ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Management Framework ◽  
Agent Based ◽  
Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

Agent-Based Modelling in Multicellular Systems Biology

2017 ◽  
pp. 159-178 ◽  
Author(s):  
Sara Montagna ◽  
Andrea Omicini
Keyword(s):  
Developmental Biology ◽  
Drosophila Melanogaster ◽  
Systems Biology ◽  
Computational Models ◽  
The Self ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models

2012 ◽  
Vol 43 (3) ◽  
pp. 921-953 ◽  
Author(s):  
Amanda Catherine Dickes ◽  
Pratim Sengupta
Keyword(s):  
Natural Selection ◽  
Computational Models ◽  
Agent Based ◽  
Multi Agent

Formalizing and Leveraging Domain Knowledge in the K4CARE Home Care Platform

2011 ◽  
pp. 279-302 ◽  
Author(s):  
Ákos Hajnal ◽  
Antonio Moreno ◽  
Gianfranco Pedone ◽  
David Riaño ◽  
László Zsolt Varga
Keyword(s):  
Health Care ◽  
Knowledge Management ◽  
Home Care ◽  
Domain Knowledge ◽  
A Priori ◽  
Medical Knowledge ◽  
Implicit Knowledge ◽  
Agent Based ◽  
Agent Platform ◽  
Multi Agent

This chapter proposes an agent-based architecture for home care support, whose main capability is to continuously admit and apply new medical knowledge entered into the system, capturing and codifying implicit knowledge deriving from the medical staff. Knowledge is the fundamental catalyst in all application domains, and this is particularly true especially for the medical context. Knowledge formalization, representation, exploitation, creation, and sharing are some of the most complex issues related to Knowledge Management. Moreover, Artificial Intelligence techniques and MAS (Multi-Agent System) in health care are increasingly justifying the large demand for their application, since traditional techniques are often not suitable to manage complex tasks or to adapt to unexpected events. The chapter presents also a methodology for approaching medical knowledge management from its representation symbolism to the implementation details. The codification of health care treatments, as well as the formalization of domain knowledge, serves as an explicit, a priori asset for the agent platform implementation. The system has the capability of applying new, implicit knowledge emerging from physicians.

An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

2013 ◽  
Vol 4 (3) ◽  
pp. 109-128 ◽  
Author(s):  
Masoomeh Moradi ◽  
Abdollah Aghaie ◽  
Monireh Hosseini
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Environment ◽  
Marketing Mix ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Management Framework ◽  
Agent Based ◽  
Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

Generic framework for enriching services: a multiagent approach

2015 ◽  
Vol 11 (2) ◽  
pp. 246-268
Author(s):  
Angela Carrillo-Ramos ◽  
Luis Guillermo Torres-Ribero ◽  
María Paula Arias-Báez ◽  
Alexandra Pomares Quimbaya ◽  
Enrique González ◽  
...  
Keyword(s):  
User Preferences ◽  
Adaptation Mechanism ◽  
Content Type ◽  
Agent Based ◽  
Agent Platform ◽  
Starting Point ◽  
Multi Agent ◽  
Definition Of ◽  
Implicit And Explicit ◽  
Context Features

Purpose – This paper aims to present a detailed description of Agents for Enriching Services (AES), an agent-oriented framework that allows adapting a service in an information system. AES provides an adaptation logic that can be instantiated and extended to be useful in different domains. In previous works, we presented the adaptation mechanism of AES, which considers context aspects such as location, infrastructure; user aspects such as preferences and interests; and device aspects such as hardware and software features. Design/methodology/approach – The first step was the definition of different profiles, mainly user and context profiles. Then the adaptation mechanism was defined, which considers these profiles. With this mechanism, the adaptation filters to apply them to the initial queries was specified. Finally, feedback was provided, which included implicit and explicit information from the user and the system. AES is an agent-based framework implemented in Java, using the multi-agent platform BESA and a rule-based engine Drools. Findings – AES can be used as the starting point to adapt services by enriching them considering different stimulus whether they come from the environment, devices or user preferences. Research limitations/implications – This work was tested in an academic environment and was only applied to enhance queries by using keywords. AES uses the query mechanism implemented in the system that invokes it. Originality/value – This paper focuses on: an integrated view of AES including its formal description and details about its implementation. Particularly, it includes an exhaustive and formal definition of the filters used to create the adaptation rules and three different scenarios of the application of AES to adapt content according to user and context features. Finally, a comparison analysis is presented to highlight the strengths of our framework, specially its capacity of integration with systems that require providing user- and context-oriented services.

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