Sunday, 8 May 2011

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 20-771
Full Name: Harri Ketamo
Position: Professor
Age: ON
Sex: Male
Address: Tiedepuisto 3
Country: FINLAND
Tel: 44 710 3803
Tel prefix: +358
Fax:
E-mail address: harri.ketamo@samk.fi
Other E-mails: harri.ketamo@gmail.com
Title of the Paper: Sharing Behaviors in Games and Social Media
Authors as they appear in the Paper: Harri Ketamo
Email addresses of all the authors: harri.ketamo@samk.fi
Number of paper pages: 9
Abstract: User generated media highlights sharing: Sharing videos, images and texts in social media, as well as sharing character outfits and maps in games. However, behavior is one of the aspects that are not shared. The aim of this study is to show how user generated behaviors can be shared in different types of games and social media applications. The examples about sport games and educational games are based on MindFarm AI technology that enables end users to construct human-like behavior by only teaching. MindFarm emulates the human way to learn: According to cognitive psychology of learning, our thinking is based on conceptual representations of our experiences and complex relations between these concepts and experiences. Phenomena when the mental structure change is called learning. In the near future user-generated behaviors can be developed and shared, as all other user-generated content. According to examples on this study, game- and media developers can design e!
xtensions that enable users to easily construct behaviors. From a game consumer point of view, the most interesting part is in developing behaviors, sharing them and finally playing with them, or against them.
Keywords: Artificial Intelligence, Games, Learning, Social Media, User Generated Content
EXTENSION of the file: .doc
Special (Invited) Session: Sharing Behaviors in Games
Organizer of the Session: 652-198
How Did you learn about congress:
IP ADDRESS: 89.166.67.93