Principles and Properties of a MAS Learning Algorithm: A Comparison with Standard Learning Algorithms Applied to Implicit Feedback Assessment

• Published in: 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 2; pp. 228 - 235
• Main Authors: Lemouzy, S., Camps, V., Glize, P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2011
• Subjects: Algorithm design and analysis; Artificial neural networks; Data mining; Decision trees; Heuristic algorithms; Implicit assessment of user's feedback; Multi-agent learning; Personalization; Real time systems; Self-adaptive systems; Self-organization; Support vector machines

The purpose of this paper is to present a new learning algorithm based on an adaptive multi-agent system and to compare it with classical learning algorithms such as the Multi-Layer Perceptron (MLP), the Support Vector Machine (SVM), and the Decision Tree (DT). This comparison is made using data ext...