Articles liés à Socially Driven Multiagent Learning: Social Outcomes...

Socially Driven Multiagent Learning: Social Outcomes and Strategies Impelled by Self-interests - Couverture souple

Munoz De Cote, Enrique

 
9783639763676: Socially Driven Multiagent Learning: Social Outcomes and Strategies Impelled by Self-interests

Synopsis

Machine learning techniques have become ubiquitous. We find them in our smart phones/watches, appliances, when we search the web, social networks and are even becoming mainstream in showing us personalized web content. However, little is known about the implications when two or more machine learning algorithms face each other. This textbook offers a comprehensive view of the problems faced when such algorithms share the same environment and some proposed solutions to alleviate such problems.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Enrique Munoz de Cote is a computer scientist at the Institute of Astrophysics, Optics and Electronics, Mexico. His research connects computer science and economic theory through machine learning and game theory. He has received different awards and is a member of the board of directors of the Association for Trading Agent Research (ATAR).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.