منابع مشابه
Conceptual Conflict by Design: Dealing with Students' Learning Impasses in Multi-user Multi-agent Virtual Worlds
This paper describes current work directed at dealing with students’ learning impasses that can arise when they are unable to make further learning progress while interacting in a 3D virtual world. This kind of situation may occur when group members do not possess the requisite knowledge needed to bootstrap themselves out of their predicament or when all group members mistakenly believe that th...
متن کاملMulti-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamental concept underpinning the framework is that it should support generic data mining. The vision is that of a system that grows in an organic manner. The central issue to facilitating this growth is the communication medium requi...
متن کاملمدلسازی احساسات در سیستمهای multi-agent یادگیرنده
این پایان نامه به بررسی نقش مثبت یا منفی احساسات روی کارایی عامل های یادگیرنده در یک محیط multi-agent می پردازد. در این راستا مدلی برای عامل های یادگیرنده دارای احساس معرفی می شود. برای بررسی نقش احساسات، یک محیط فرضی multi-agent شبیه سازی شده و حالت های گوناگونی در آن نظر گرفته می شوند. در حالت نخست، کارایی عامل هایی بررسی می شود که دارای احساس نیستند و فقط قابلیت یادگیری دارند. در دومین حالت...
15 صفحه اولMAUL: Machine Agent User Learning∗
We describe implementation of a classifier for User-Agent strings using Support Vector Machines. The best kernel is found to be the linear kernel, even when more complicated string based kernels, such as the edit distance kernel and the subsequence kernel, are employed. A robust tokenization scheme is employed which dramatically speeds up the calculation for the edit string and subsequence kern...
متن کاملPragmatic Multi-Agent Learning
Early models of procedural learning assumed actors were isolated, model-based thinkers. More recently, learning techniques have become more sophisticated as this assumption has been replaced with more realistic ones. To date, however, there has been no thorough investigation of multiple, heterogeneous, situated agents who learn from the pragmatics of their domain rather than from a model. This ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2007
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.22.621