International Conference on Information and Knowledge Technology

فارسی

Home / دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Experimental analysis of automated negotiation agents in modeling Gaussian bidders

Authors :

Fatemeh Hassanvand¹ Faria Nassiri-Mofakham²

1- دانشگاه اصفهان 2- دانشگاه اصفهان

Keywords :

automated negotiating agents, Gaussian utility function, Gaussian bidders, preference estimation

Abstract :

Automated negotiating agents are usually designed and implemented in a general way so that they can negotiate successfully in front of a vast variety of opponents. In real world, most opponents are single-peaked. Gaussian agents that use such distribution function to rate the negotiation items are important sort of such opponents. Modeling the opponents is of great importance, since it enables us to adjust our next decisions accordingly. This can bring us short –time compromises, ideal eventual utility, more satisfaction, and so on. In negotiating with Gaussian opponents, the estimation of the opponent's peak point is the core. In this regard, we have paid a particular attention on how accurate the existing automated agents attended in Automated Negotiating Agents Competition (ANAC) during 2010-2019 can model Gaussian bidders and showed the experiments result.

List of archived papers

طراحی و کنترل تطبیقی اورتز رباتیک پایین تنه با استفاده کنترلر منطقی قابل برنامه ریزی و رابط انسان با ماشین

فرهاد عظیمی فر - ستایش کرمی - نیایش امینی

تشخیص خودکار اختلال عروقی ماکولا با عنوان عروق گسترش یافته در تصاویر آنژیوگرافی حاصل از تصویربرداری OCTA

راضیه گنجی - دکتر محسن ابراهیمی مقدم - دکتر رامین نوری نیا

Customer Churn Prediction Using Data Mining Techniques for an Iranian Payment Application

Olya Rezaeian - Dr ُSeyedhamidreza Shahabi Haghighi - Dr Jamal Shahrabi

An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification

Faeze Sadati - Dr Behrooz Rezaie

روش مهاجرت خوشه‎ای‎ برای بهبود بستربندی به ‎مشتری در گردش‌کارهای بدون سرویس‌دهنده

محمدامین قسوری جهرمی - مهرداد آشتیانی - فاطمه بخشی

Multi-label Classification of Steel Surface Defects Using Transfer Learning and Vision Transformer

Amirhossein Komijani - Farzaneh Vafaeinezhad - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi

Data Analysis to Reduce Electrical Power Plants

Amirali Sahraei - Jamshid Shanbehzadeh

Intent-Based Classification of Multi-Stage Cyber Attacks Using Attacker TTPs and Machine Learning

Fatemeh Imanimehr - Hamed Ebrahimi

Vi-Net: A Deep Violent Flow Network for Violence Detection in Video Sequences

Tahereh Zarrat Ehsan - Seyed Mehdi Mohtavipour

Integrating Wasserstein GANs for High-Speed Transformer-Based Neural Machine Translation

Parisa Nekoogol - Mostafa Salehi

more

Samin Hamayesh - Version 44.5.0