Workshops on Game AI and Learning Sciences

The Department of Information Systems and Computer Science cordially invites 
faculty and students to two workshops on January 14, 2012:

Game AI: Yesterday, Today and Tomorrow by Dr. Taesik Kim of Keimyung 


Integrating Computer Science and the Learning Sciences by Dr. Ma. Mercedes 
T. Rodrigo of the Ateneo de Manila.

Please see details below.

Game AI: Yesterday, Today, and Tomorrow
Dr. Taesik Kim
Keimyung University, South Korea
14 January 2012, 8:00-12:00
Venue TBA
Department of Information Systems and Computer Science
Ateneo de Manila University, Loyola Heights, Quezon City

In many movies and science fiction stories, AI is one of the most popular 
themes of the story. Whether the characters have evolved to hate people and 
start eliminating all mankind, or fall in love with real people, they all 
share a common concept of ‘thinking and learning like humans.’ 
Unfortunately, in the real world, complexities of AI algorithms have not yet 
evolved to that point. In this lecture Game AI: Yesterday, Today, and 
Tomorrow, we will discuss true definition of artificial intelligence within 
games. All games are divided into two categories: perfect games and 
imperfect games. Game developers need to apply an appropriate game AI engine 
to maximize the user’s game experience in both types of games. Each AI 
engine is deigned to respond and react in specific situations in the game 
environment. Nowadays, due to the sharp increase of smart phone devices, 
mobile games are becoming a new popular playground for AI system engineers 
and game developers. However, since mobile phones contain many limitations, 
developers now face the difficulty of modifying previous AI engines to fit 
into mobile platforms. Moreover, going back to the actual concept of 
artificial intelligence, current concepts of AI algorithms are much further 
distanced from the ‘thinking and learning like human’ intelligence than AI 
which we see in movies and stories. We still have many steps which need to 
be climbed in the near future in order to create true artificial 

About Dr. Kim:

Dr. Kim received his PhD in Computer Science from North 
Dakota State University. Since 1992, he has been a Prfessor in the 
Department of Game and Mobile Contents of Keimyung University in South 
Korea. He is also the Director the Cultural Contents and Technology Project 
Group of Keimyung University, a center dedicated to research and development 
in the area of game and mobile contents. His areas of specialization are 
artificial intelligence in games and the development of iOS based AI games.

Integrating Computer Science and the Learning Sciences
Dr. Ma. Mercedes T. Rodrigo
Ateneo Laboratory for the Learning Sciences
14 January 2012, 1:00 to 5:30
Venue TBA
Department of Information Systems and Computer Science
Ateneo de Manila University, Loyola Heights, Quezon City

The Ateneo Laboratory for the Learning Sciences brings together artificial 
intelligence, data mining and statistics, education, cognitive psychology, 
human factors and other disciplines to study, enhance, and develop 
environments that improve student achievement and the learning experience. 
In this workshop, we will give participants an overview of laboratory’s 
goals and directions. We will discuss our work in affect and behavior 
detection and response in programming environments and intelligent tutors, 
as well as the design and development of interfaces that are sensitive to 
biometric readings and use behaviors. The purpose of this workshop is to 
acquaint fellow faculty members and current or prospective graduate students
with our ongoing research, and in so doing to foster collaboration and 
encourage participation.

About Dr. Rodrigo:

Dr. Rodrigo is an Associate Professor in the Department 
of Information Systems and Computer Science, Ateneo de Manila University and 
head of the Ateneo Laboratory for the Learning Sciences. Under her 
direction, the Ateneo’s Affective Computing group was recently named the 
first runner up of the CHED Best Higher Education Institution Research Award
for NCR. Her research interests include affective computing, artificial 
intelligence in education, intelligent tutoring systems, and computer 
science education.

Workshop costs and registration

The costs of the workshops are:

• P600.00 to attend both workshops. These fees cover lunch, two snacks, 
and handouts for both workshops.
• P400.00 to attend only one workshop. These fees cover lunch, two 
snacks, and handouts for both workshops.

Payment procedures will be announced at a later date.

To register, please email the following details to Melinda Nicdao 

Subject line: Workshop(s) title(s)
Institutional Affiliation:
Designation: (e.g. faculty member, student, etc.)
Contact Phone Number:
Email Address:

For more information

Please email your inquiries to Melinda Nicdao (

(Repost from CSP Invitation)

Math majors, rejoice. Businesses are going to need tens of thousands of you in the coming years as companies grapple with a growing mountain of data. Data is a vital raw material of the information economy, much as coal and iron ore were in the Industrial Revolution. But the business world is just beginning to learn how to process it all. The current data surge is coming from sophisticated computer tracking of shipments, sales, suppliers and customers, as well as e-mail, Web traffic and social network comments. The quantity of business data doubles every 1.2 years, by one estimate. Mining and analyzing these big new data sets can open the door to a new wave of innovation, accelerating productivity and economic growth. Some economists, academics and business executives see an opportunity to move beyond the payoff of the first stage of the Internet, which combined computing and low-cost communications to automate all kinds of commercial transactions. The next stage, they say, will exploit Internet-scale data sets to discover new businesses and predict consumer behavior and market shifts. 

Mining of Raw Data May Bring New Productivity, a Study Says –