1,327 research outputs found

    Conceptual Architecture for Agent-Based Modelling of Supplier Selection Conducted by a Supply Chain Dyad

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    Within the fourth stage of industrialization, artificial intelligence and in particular the multi-agent systems paradigm is highly adopted. Within the agent approach, the industrial resources are defined as intelligent agents that negotiate with each other to implement dynamic reconfiguration and reach agility and higher customer satisfaction. In this paper a smart configuration of the agent-based system for multi-product dyadic supplier selection is proposed. The objective is to select suppliers for multiple products simultaneously in a vertical collaboration context while involving the customer of the purchasing company and considering its preferences. Negotiation experiments are conducted for initial validation of the proposed conceptual architecture

    Agent based mobile negotiation for personalized pricing of last minute theatre tickets

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    This is the post-print version of the final paper published in Expert Systems with Applications. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2012 Elsevier B.V.This paper proposes an agent based mobile negotiation framework for personalized pricing of last minutes theatre tickets whose values are dependent on the time remaining to the performance and the locations of potential customers. In particular, case based reasoning and fuzzy cognitive map techniques are adopted in the negotiation framework to identify the best initial offer zone and adopt multi criteria decision in the scoring function to evaluate offers. The proposed framework is tested via a computer simulation in which personalized pricing policy shows higher market performance than other policies therefore the validity of the proposed negotiation framework.The Ministry of Education, Science and Technology (Korea

    Auctions and Electronic Markets

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    Efficient performative actions for e-commerce agents

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    The foundational features of multi-agent systems are communication and interaction with other agents. To achieve these features, agents have to transfer messages in the predefined format and semantics. The communication among these agents takes place with the help of ACL (Agent Communication Language). ACL is a predefined language for communication among agents that has been standardised by the FIPA (Foundation for Intelligent Physical Agent). FIPA-ACL defines different performatives for communication among the agents. These performatives are generic, and it becomes computationally expensive to use them for a specific domain like e-commerce. These performatives do not define the exact meaning of communication for any specific domain like e-commerce. In the present research, we introduced new performatives specifically for e-commerce domain. Our designed performatives are based on FIPA-ACL so that they can still support communication within diverse agent platforms. The proposed performatives are helpful in modelling e-commerce negotiation protocol applications using the paradigm of multi-agent systems for efficient communication. For exact semantic interpretation of the proposed performatives, we also performed formal modelling of these performatives using BNF. The primary objective of our research was to provide the negotiation facility to agents, working in an e-commerce domain, in a succinct way to reduce the number of negotiation messages, time consumption and network overhead on the platform. We used an e-commerce based bidding case study among agents to demonstrate the efficiency of our approach. The results showed that there was a lot of reduction in total time required for the bidding process

    Reaching inter-institutional business processes in e-Society

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    Each business enterprise strives to achieve the most efficient organization of its operations. While business enterprises can influence internal factors of organization, external factors are more rigid. Public organizations have less of an incentive to be efficient. Furthermore, their organization is less favorable since the decision making is centralized and highly formal (i.e. legislative). Adoption of business process orientation (BPO) paradigm,with an emphasis on the management of internal factors of organization, has provided business organizations with substantial savings and improvements in efficiency. However, external factors also have a high potential for improvement of efficiency. For instance, development of supply chains or value chains has proven that external factors can be harnessed to provide additional sources of competitiveness. Other external factors can also beused to improve the performance of individual organizations, an entire industry or economy as a whole. These synergic effects can be achieved through a unified and virtualized communication infrastructure, document exchange and conduct of business transactions. The goal of this paper is to present business environment properties in an e-Society that can be further developed to enhance integration between organizations and public institutions, which in turn can be used to create and manage inter-institutional business processes. This typeof processes can promote e-business and e-business models to a new level of efficiency, making a whole industry or national economy comparatively more competitivein international markets.business processes; public administration; e-business; e-society; interactions

    A Communication Framework Towards Flexible Associations of Business Entities Within Evolving Environments

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    The Internet and its manifestations, such as electronic commerce or in general network communication between different groups of interest (i.e., agents) have become indispensable for many of us. To adequately use the ever increasing amount of data, attempts are being made to extend data processing from a merely lexical view towards more complex, but equally important, multi-level view, including meaning and/or context (e.g., DAML, Web Services). The goal of this paper is to introduce a formal framework, apt to model communications from such a multi-level perspective. Therein, we discuss fundamental ideas of communication, such as agents involved and their respective structure. We integrate the concept of an agent's adaptive behaviour in order to assure a high degree of understanding. The framework is then illustrated using practical examples where we briefly present its usefulness and how it may be further developed. L'Internet et l'utilisation qu'on en fait, par exemple le commerce électronique ou plus généralement l'établissement de réseaux de communications entre différents intervenants (c.-à-d., agents) est devenu indispensable pour plusieurs d'entre nous. Il devient de plus en plus difficile d'utiliser adéquatement la vaste quantité de données s'y trouvant. À cette fin, de nombreuses initiatives tentent de faire évoluer les systèmes d'information les faisant passer de simples outils permettant le traitement lexical des données à des engins complexes comprenant les données et leur contexte d'interprétation (p.ex., DAML, Web Services). Dans cet article, nous présentons un cadre formel qui modélise les interactions, tout en tenant compte de plusieurs niveaux d'abstraction (p.ex., lexical, syntaxique, sémantique, etc.). Nous nous attardons aux concepts fondamentaux de la communication, tels que les agents impliqués dans les interactions et leur structure. Nous considérons aussi comment ces agents évoluent pour assurer la plus grande compréhension possible des messages reçus. Des exemples concrets servent à mieux expliquer comment le cadre peut être utilisé et comment il peut être raffiné.Inter-enterprise communication framework, information system evolution, adaptive systems., Cadre descriptif des communications inter-entreprise, évolution des systèmes d'information, systèmes adaptatifs

    Enhancing Agent Mediated Electronic Markets with Ontology Matching Services and Social Network Support

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    Os Mercados Eletrónicos atingiram uma complexidade e nível de sofisticação tão elevados, que tornaram inadequados os modelos de software convencionais. Estes mercados são caracterizados por serem abertos, dinâmicos e competitivos, e constituídos por várias entidades independentes e heterogéneas. Tais entidades desempenham os seus papéis de forma autónoma, seguindo os seus objetivos, reagindo às ocorrências do ambiente em que se inserem e interagindo umas com as outras. Esta realidade levou a que existisse por parte da comunidade científica um especial interesse no estudo da negociação automática executada por agentes de software [Zhang et al., 2011]. No entanto, a diversidade dos atores envolvidos pode levar à existência de diferentes conceptualizações das suas necessidades e capacidades dando origem a incompatibilidades semânticas, que podem prejudicar a negociação e impedir a ocorrência de transações que satisfaçam as partes envolvidas. Os novos mercados devem, assim, possuir mecanismos que lhes permitam exibir novas capacidades, nomeadamente a capacidade de auxiliar na comunicação entre os diferentes agentes. Pelo que, é defendido neste trabalho que os mercados devem oferecer serviços de ontologias que permitam facilitar a interoperabilidade entre os agentes. No entanto, os humanos tendem a ser relutantes em aceitar a conceptualização de outros, a não ser que sejam convencidos de que poderão conseguir um bom negócio. Neste contexto, a aplicação e exploração de relações capturadas em redes sociais pode resultar no estabelecimento de relações de confiança entre vendedores e consumidores, e ao mesmo tempo, conduzir a um aumento da eficiência da negociação e consequentemente na satisfação das partes envolvidas. O sistema AEMOS é uma plataforma de comércio eletrónico baseada em agentes que inclui serviços de ontologias, mais especificamente, serviços de alinhamento de ontologias, incluindo a recomendação de possíveis alinhamentos entre as ontologias dos parceiros de negociação. Este sistema inclui também uma componente baseada numa rede social, que é construída aplicando técnicas de análise de redes socias sobre informação recolhida pelo mercado, e que permite melhorar a recomendação de alinhamentos e auxiliar os agentes na sua escolha. Neste trabalho são apresentados o desenvolvimento e implementação do sistema AEMOS, mais concretamente: • É proposto um novo modelo para comércio eletrónico baseado em agentes que disponibiliza serviços de ontologias; • Adicionalmente propõem-se o uso de redes sociais emergentes para captar e explorar informação sobre relações entre os diferentes parceiros de negócio; • É definida e implementada uma componente de serviços de ontologias que é capaz de: • o Sugerir alinhamentos entre ontologias para pares de agentes; • o Traduzir mensagens escritas de acordo com uma ontologia em mensagens escritas de acordo com outra, utilizando alinhamentos previamente aprovados; • o Melhorar os seus próprios serviços recorrendo às funcionalidades disponibilizadas pela componente de redes sociais; • É definida e implementada uma componente de redes sociais que: • o É capaz de construir e gerir um grafo de relações de proximidade entre agentes, e de relações de adequação de alinhamentos a agentes, tendo em conta os perfis, comportamento e interação dos agentes, bem como a cobertura e utilização dos alinhamentos; • o Explora e adapta técnicas e algoritmos de análise de redes sociais às várias fases dos processos do mercado eletrónico. A implementação e experimentação do modelo proposto demonstra como a colaboração entre os diferentes agentes pode ser vantajosa na melhoria do desempenho do sistema e como a inclusão e combinação de serviços de ontologias e redes sociais se reflete na eficiência da negociação de transações e na dinâmica do mercado como um todo.In electronic commerce, the diversity of the involved actors can lead to different conceptualizations of their needs and capabilities, giving rise to semantic incompatibilities that might hamper negotiations and the fulfilling of satisfactory transactions. In order to provide help in conversation among different actors, markets must offer ontology services to facilitate interoperability. However, humans tend to be reluctant to accept others’ conceptualizations, except if they become convinced that a good deal can be achieved. In this context, the application and exploitation of relationships captured by social networks can result in the establishment of more accurate trust relationships between businesses and customers, as well as the improvement of the negotiation efficiency and therefore the users’ satisfaction with the electronic commerce system. The AEMOS system is an agent-based electronic commerce platform that provides ontology matching services in order to facilitate the interoperability between agents that use different ontologies. AEMOS also includes a social network component that allows improving the ontology alignment recommendations and supporting the agents’ decisions about which alignments to select based on the information collected throughout the market and by exploring social network analysis techniques. This work presents the development and implementation of the AEMOS system, illustrating how the collaboration between the different agents can be helpful in improving the system’s performance, and how the inclusion and combination of ontology services and social networks reflects in the efficiency of the negotiation process

    Designing Public Innovations in Public Sector: The Process and Challenges in Taiwanese E-government

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    Researchers have found that a one-sided focus on technology dominates many e-government projects; ICT has been used mainly as a tool to enhance the efficiency and service delivery of the government. In fact, e-government should achieve public innovation goals, such as redesigning information relationships among stakeholders, enhancing citizen participation in the policymaking process, and reinforcing policy enforcement to create public value. These goals are more valuable, but also more complex than the digitization of existing governmental processes. Beside, only a few projects could achieve the public innovation diffusion goal among many e-government projects. Therefore, this case study focuses on a very important and successful e-government project in Taiwan – the e-invoicing project, by following the development timeline of this 12-year project to understand the reasons of loosing focus and the turning points to achieve the final success. With the results of this case study, this research address four main factors of success in public innovation diffusion: (a) cooperate with the right stakeholder: e-government projects requires intensive cooperation with both public and private organizations, otherwise the change agency has no complete control over its innovation offering; (b) the selection of the right diffusion mode: centralized innovation-diffusion is difficult to overcome the stereotyped perception that citizens hold toward the government, and thus, it is better to implement by a decentralized fashion; (c) the diversity of services: public innovations have an inherently higher complexity than commercial innovations because they intend to serve a diversity of citizens; and (d) assignment of the right change agent for the project: because the burden on the change agent is tremendous, only a few “policy entrepreneurs” can push through the innovation process, despite few material rewards

    Advanced supplier selection: A hybrid multi-agent negotiation protocol supporting supply chain dyadic collaboration

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    This paper proposes a novel form of supplier selection involving the supply chain dyad as the buyer and the suppliers as sellers. The main proposed contribution is a multi-attribute decision hybrid protocol for supplier selection based on collaboration and negotiation, adapted to dyadic collaboration in a supply chain context. Suppliers and the purchasing dyad can reach an agreement on the details of the products simultaneously and exploit the preferences of the customer dyadic partner to enlarge the criteria choices of the products. For this, the proposed protocol combines a one-to-one bilateral dyadic collaboration protocol inside the purchasing dyad along with a one-to-many multi-bilateral bargaining protocol between the purchasing dyad and suppliers. Illustrative multi-agent simulation experiments were carried out to prove the effectiveness of the proposed protocol. The protocol implementation shows better negotiation results than the classic supplier selection process, along with expected higher customer partner satisfaction and a more embedded dyadic relationship
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