0% Complete
English
صفحه اصلی
/
دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Experimental analysis of automated negotiation agents in modeling Gaussian bidders
نویسندگان :
Fatemeh Hassanvand
1
Faria Nassiri-Mofakham
2
1- دانشگاه اصفهان
2- دانشگاه اصفهان
کلمات کلیدی :
automated negotiating agents, Gaussian utility function, Gaussian bidders, preference estimation
چکیده :
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.
لیست مقالات
لیست مقالات بایگانی شده
An approach to model the optimal service provisioning in vehicular cloud networks
Farhoud Jafari Kaleibar - Maghsoud Abbaspour
تحلیل سازههای موثر بر پذیرش فناوری بلاکچین و استفاده از آن در صنعت بیمه ایران با استفاده از تکنیک معادلات ساختاری (مطالعه موردی: شرکت کارگزاری رسمی بیمه زندگی خوب)
احسان هنری - آفرین اخوان
Integration of Electric Vehicles in Smart Grid using Deep Reinforcement Learning
Farkhondeh Kiaee
شناسایی جایگاه مالونیلاسیون در پروتئینها با بهرهگیری از استخراج ویژگی و تکنیکهای پردازش زبان طبیعی
حنانه رجبیون - محمد قاسم زاده - وحید رنجبر بافقی
Load Balancing in Software-Defined Networks Using Multi-Level Thresholds and Hybrid Switch Migration Strategies
Alireza Karimi - Mohammad yousef Darmani
Traffic Aware Routing in P4 Based Software Defined Networks
Ahmad Hamid - Reza Mohammadi
A No-Code Platform for Developing Customizable Recommender Systems for Restaurants
Moein-Aldin AliHosseini - MohammadReza Sharbaf
Reinforced Detection: Deep Reinforcement Learning for Binary VoIP Classification in Encrypted Traffic
Mohsen Rajabpour - Mohammadmoein Asefi - Siavash Khorsandi
ElectroCNN: Regressive CNN-based Energy Consumption Forecasting Leveraging Weather Data
Dharmi Patel - Mann Patel - Krisha Darji - Rajesh Gupta - Sudeep Tanwar - Jitendra Bhatia - Hossein Shahinzadeh
Robustness Gap in NLP Models for Vulnerability Descriptions: Benchmarking and Data Augmentation
AmirHossein Majd - Mahdi Yousefikia - Saghar Ghasemzadeh - Amirreza Asari - Arya Khoshnavataher - Seyedeh Leili Mirtaheri
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.2.0
