NDLI: AntBot: Ant Colonies for Video Games

Please wait, while we are loading the content...

AntBot: Ant Colonies for Video Games

Content Provider	IEEE Xplore Digital Library
Author	Recio, G. Martin, E. Estebanez, C. Saez, Y.
Copyright Year	2009
Abstract	The video game industry is an emerging market which continues to expand. From its early beginning, developers have focused mainly on sound and graphical applications, paying less attention to developing game bots or other kinds of nonplayer characters (NPCs). However, recent advances in artificial intelligence offer the possibility of developing game bots which are dynamically adjustable to several difficulty levels as well as variable game environments. Previous works reveal a lack of swarm intelligence approaches to develop these kinds of agents. Considering the potential of particle swarm optimization due to its emerging properties and self-adaptation to dynamic environments, further investigation into this field must be undertaken. This research focuses on developing a generic framework based on swarm intelligence, and in particular on ant colony optimization, such as it allows general implementation of real-time bots that work over dynamic game environments. The framework has been adapted to allow the implementation of intelligent agents for the classical game Ms. Pac-Man. These were trialed at the Ms. Pac-Man competitions held during the 2011 International Congress on Evolutionary Computation.
Starting Page	295
Ending Page	308
Page Count	14
File Size	1916537
File Format	PDF
ISSN	1943068X
Volume Number	4
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Games Particle swarm optimization Equations Optimization Humans Neural networks Tin video-games Ant colony optimization artificial intelligence Ms. Pac-Man nonplayer characters (NPCs) swarm intelligence
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Editorial survey: swarm intelligence for data mining

Ant-based and swarm-based clustering

Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man

Editorial survey: swarm intelligence for data mining

Artificial Intelligence Based Reliable Load Balancing Framework in Software-Defined Networks

Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions

An Innovative Method to Classify Remote-Sensing Images Using Ant Colony Optimization

Interactive ant colony optimization (iACO) for early lifecycle software design

Training neural networks with ant colony optimization algorithms for pattern classification

AntBot: Ant Colonies for Video Games

Similar Documents

Editorial survey: swarm intelligence for data mining

Ant-based and swarm-based clustering

Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man

Editorial survey: swarm intelligence for data mining

Artificial Intelligence Based Reliable Load Balancing Framework in Software-Defined Networks

Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions

An Innovative Method to Classify Remote-Sensing Images Using Ant Colony Optimization

Interactive ant colony optimization (iACO) for early lifecycle software design

Training neural networks with ant colony optimization algorithms for pattern classification

AntBot: Ant Colonies for Video Games