Reputation Model with Forgiveness Factor for Semi-Competitive E-Business Agent Societies

In this paper we introduce a new reputation model for agents engaged in e-business transactions. Our model enhances classic reputation models by adding forgiveness factor and new sources of reputation information based on agents groups. The model was implemented using JADE multi-agent platform and initially evaluated for e-business scenarios comprising societies of buyer and seller agents.

Ontology Reuse: the Real Test of Ontological Design

Reusing ontologies in practice is still very challenging, especially when multiple ontologies are (jointly) involved. Moreover, despite recent advances, the realization of systematic ontology quality assurance remains a difficult problem. In this work, the quality of thirty biomedical ontologies, and the Computer Science Ontology are investigated, from the perspective of a practical use case. Special scrutiny is given to cross-ontology references, which are vital for combining ontologies. Diverse methods to detect potential issues are proposed, including natural language processing and network analysis. Moreover, several suggestions for improving ontologies and their quality assurance processes are presented. It is argued that while the advancing automatic tools for ontology quality assurance are crucial for ontology improvement, they will not solve the problem entirely. It is ontology reuse that is the ultimate method for continuously verifying and improving ontology quality, as well as for guiding its future development. Specifically, multiple issues can be found and fixed primarily through practical and diverse ontology reuse scenarios.Comment: Accepted into SOMET 2022 conferenc

UML Models of Agents in a Multi-Agent E-Commerce System

Recently a new model agent-based e-commerce system was proposed, in which rule-based mechanism representation was combined with lightweight modular mobile agent design. Furthermore, need for agent mobility as the optimal solution to satisfy user needs was discussed. The aim of this paper is to introduce UML formalizations of most important agents that appear in the model system as well as presentation of its complete action diagram

Rule-Based Automated Price Negotiation: an Overview and an Experiment

Recently, the idea of automating e-commerce transactions attracted a lot of interest. Multi-agent systems are one of promising software technologies for achieving this goal. This note discusses rule-based approaches to automated negotiation and presents some experimental results based on our own implementation of a rule-based price negotiation mechanism in a model e-commerce multi-agent system. The experimental scenario considers multiple buyer agents involved in multiple English auctions that are performed in parallel