69 research outputs found
Adopting Agent-Based Situated Decision Support Framework for Managing One-to-Many Negotiations with Multiple Potential Agreements
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
Knowledge-based coordination and support for software agents in supply chains
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)
On Comparison of Mechanisms of Economic and Social Exchanges: The Times Model
An e-market system is a concrete implementation of a market institution; it embeds one or more exchange mechanisms. The mechanisms are – from the economic point of view – disembodied objects (models and procedures) which control access to and regulate execution of transactions. E-market systems are also information systems which are information and communication technologies artifacts. They interact with their users; have different features and tools for searching, processing and displaying information. This work puts forward an argument that the study of e-markets must incorporate both the behavioural economic as well as the information systems perspectives. To this end the paper proposes a conceptual framework that integrates the two. This framework is used to formulate a model, which incorporates the essential features of exchange mechanisms, as well as their implementations as IS artefacts. The focus of attention is on two classes of mechanisms, namely auctions and negotiations. They both may serve the same purpose and their various types have been embedded in many e-market systems
Negotiation and Auction Mechanisms: Two Systems and Two Experiments
Auction and negotiation are mechanisms used in market exchanges. Behavioral economics experiments focused on the mechanism efficiency which required highly simplified problems and contexts. This paper discusses an ongoing project involving an experimental comparison of auction and negotiation mechanisms embedded in software which we have developed. Both reverse multi-attribute auctions and multi-bilateral negotiations are used in a transportation service procurement scenario. The potential contribution includes the verification of theoretical claims that auctions are more profitable for auction givers than negotiations. It also includes formulation of guidelines for appropriate design of multiattribute market mechanisms and their selection
The Effects of Photographic Images on Agent to Human Negotiations: The Case of the Sicilian Clan
Empowering Modern Managers
This chapter discusses recent advances in the use of agent technology in Decision Support Systems (DSSs) and introduces a model for an agent-based DSS. The chapter analyzes the modern requirements for the nature of decision support and argues in favor of adopting active situated paradigm as the basis for building DSS. The benefits of agent technology are highlighted in relation to the desired features of DSS and the past research in this direction is reviewed and systematically categorized. The description of an agent-based DSS elaborating on the architecture of the system and the potential use of data mining techniques is then introduced. The approach is illustrated with an agent-based DSS for investment decisions. The chapter informs the readers about the state of art in agent-based DSS, and provides a framework that can be used as a reference model in future research in the area.</jats:p
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