RANA: a Relationship-aware Negotiation Agent

ثبت نشده
چکیده

Much has been written on the use of rhetorical argumentation to alter the beliefs of a partner agent within a particular negotiation. The problem addressed in this chapter is the measurement of the long-term value of rhetorical argumentation in repeated interactions between a pair of agents, and of the management of such argumentation to achieve strategic aims concerning the strength of the agents? relationships. RANA is a relationshipaware negotiation agent in the context of information-based agents [1] that have embedded tools from information theory enabling them to measure and manage strategic information. Source URL: https://www.iiia.csic.es/en/node/54267 Links [1] https://www.iiia.csic.es/en/staff/john-debenham [2] https://www.iiia.csic.es/en/staff/carles-sierra [3] https://www.iiia.csic.es/en/bibliography?f[author]=429 [4] https://www.iiia.csic.es/en/bibliography?f[keyword]=488 [5] https://www.iiia.csic.es/en/bibliography?f[keyword]=475 [6] https://www.iiia.csic.es/en/bibliography?f[keyword]=482 [7] https://www.iiia.csic.es/en/bibliography?f[keyword]=484 [8] https://www.iiia.csic.es/en/bibliography?f[keyword]=489 [9] https://www.iiia.csic.es/en/bibliography?f[keyword]=481 [10] https://www.iiia.csic.es/en/bibliography?f[keyword]=485 [11] https://www.iiia.csic.es/en/bibliography?f[keyword]=483 [12] https://www.iiia.csic.es/en/bibliography?f[keyword]=487 [13] https://www.iiia.csic.es/en/bibliography?f[keyword]=486

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents

Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....

متن کامل

Improving Agent Performance for Multi-Resource Negotiation Using Learning Automata and Case-Based Reasoning

In electronic commerce markets, agents often should acquire multiple resources to fulfil a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be coordinated with each other. In recent ...

متن کامل

Trust Aware Negotiation Dissolution

In this paper we propose a recommender system that suggests the best moment to end a negotiation. The recommendation is made from a trust evaluation of every agent in the negotiation based on their past negotiation experiences. For this, we introduce the Trust Aware Negotiation Dissolution algorithm.

متن کامل

AQUAMan: An Adaptive QoE-Aware Negotiation Mechanism for SaaS Elasticity Management

Client churn is a key challenge confronted by SaaS providers. Recent research in QoE suggested providers should rely on quantiles & percentiles to assess the service acceptability rate. In this article we introduce AQUAMan, an Adaptive QoE-Aware multi-agent negotiation mechanism for SaaS elasticity Management. Based on its estimation of the percentage of users finding the service acceptable and...

متن کامل

Abridgement of HANA: a Human-Aware Negotiation Architecture

HANA is an agent architecture suitable for multiple bilateral negotiations in realistic problems involving humans. The architecture deals with prenegotiation and provides a new search and negotiation technique where search and negotiation go hand in hand: the former providing offers to propose, and the later providing commitments for pruning the search space, and information for fine-tuning the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017