1,720,983 research outputs found

    Knowledge-based coordination and support for software agents in supply chains

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    Purpose - Auctions and negotiations are key exchange mechanisms used in supply-chain transactions involving complex goods (including services) that have high profit impact. Negotiation was a prolonged and difficult process making interactions with several partners simultaneously impossible while auctions' disadvantage is their focus on price and inability to make distinctions between individual buyers and/or sellers. Providing a single negotiator with software agents that are able to support her activities, advise her on the best course of action, and act on her behalf allows her to engage in multiple interactions with human and software-based counterparts. In this paper we discuss the ANIMA system, designed to support negotiators engaged in multiple bilateral negotiations, and its loose integration with the Invite multi-bilateral e-negotiation system. Design/methodology/approach - The data collected from the initial experiments shows that agents are able to negotiate with humans and, using knowledge base, adapt their strategies to those that humans employ. The methodology here is based on experimental design and statistical analysis. Our findings will be used for the design of a knowledge base that will be accessible by human and artificial users of Imbins and Imaras. The methodology primarily consists of knowledge engineering and system design. Originality/value - The approach which we propose is novel in the following three aspects: 1. It proposes formal methods for multi-attribute auction and multi-bilateral negotiations which can be experimentally studied and used to build knowledge bases for the human and artificial e-market participants; 2. It proposes an integrated environment in which humans and software agents can collaborate, compete and inform themselves and others; and 3. It proposes a platform for coordination mechanism in agent-based supply chains, agent-mediated auctions and negotiations, and multi-agent market modelling. Practical implications - The outcomes of this research will be new generation of e-market systems and software agents capable of: combining auction and negotiation mechanisms and using them separately; aiding individual buyers and sellers in managing complex transactions; supporting both buyers and sellers in their achievement of joint and individual substantive outcomes (e.g., revenue, costs, deadlines, and quality); as well realizing relational outcomes (e.g., trust, satisfaction with dealing, reliability, and rapport)

    Adopting Agent-Based Situated Decision Support Framework for Managing One-to-Many Negotiations with Multiple Potential Agreements

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    The rise of the Internet and electronic business presents new opportunities to develop flexible and effective exchange mechanisms. The information and communication technologies allow the individuals and the organizations engage in potentially fruitful interactions and joint solution search regardless of their location and time. Rise of interes

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Customer – Software Agent Negotiations Using Large Language Model: An Experimental Study

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    Large Language Models (LLMs) present remarkable opportunities for researchers and professionals to improve the effectiveness of software agents acting on companies' behalf. A particularly promising application is using LLMs to negotiate deals with potential customers. This paper proposes integrating negotiation models with LLM capabilities to generate textual offers in machine-human negotiations. It builds on an assumption that LLMs demonstrate emotional intelligence in their interactions with humans, positively influencing negotiation outcomes and human perceptions. The work introduces a prototype agent application based on a phone plan sales scenario. An experiment with human participants tested the performance of the LLM-powered negotiation agent against a version without LLM. The results indicate that the LLM-enhanced software agent reached agreements with better prices

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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