Swarm AI: A General-purpose Swarm Intelligence Design Technique
This paper introduces Swarm AI, the first general framework for designing Swarm Intelligence approaches to problems. We outline principles of Swarm AI, discuss its connection to previous work, and analyze the advantages and disadvantages of this method. Finally, we describe a case study of applying Swarm AI to a new problem. Specifically, we discuss the design of a soccer team, using the principles of Swarm AI to create agents capable of playing soccer effectively.
||Swarm Intelligence, Intelligent Systems Design, Multiagent Systems, Soccer, Emergence
Design Principles and Practices: An International Journal, Volume 5, Issue 1, pp.7-16.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 800.934KB).
Fellow, Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
Alex Kutsenok graduated from the Rose-Hulman Institute of Technology in 2004. At Rose-Hulman, he published a major thesis on Swarm Intelligence applied to the game of soccer. He continued his work within the field of artificial intelligence after being granted a National Science Foundation Fellowship at Michigan State University. Alex is primarily interested in finding optimal methods of designing solutions to problems in the realm of computer science. His other interests include cognitive science, zoology, and artificial intelligence. Alex believes in the value of interdisciplinary work, and his papers draw from previous research in a variety of fields. Having conducted research in swarm intelligence since 2003, Alex has presented his work in front of many different audiences. He aims to simply and make clear the concepts of swarm intelligence, such that they can be appreciated by any person, regardless of their scholarly background.
Department Chair, Mathematics Department, University of St. Francis, Fort Wayne, IN, USA
Victor Kutsenok was born in Kiev, Ukraine. He moved to the United States in 1992. Soon after, he took a teaching position in the math department of the University of St. Francis. He has worked in that position for almost 20 years, currently functioning as the head of the department. Victor's primary interests are mathematics and math education. He is also interested in problem-solving methods. He has done a lot of work on Olympiad-level difficulty problems and is widely published in that area. Victor is very interested in multidisciplinary collaboration with other scholars. In the past, Victor has worked with computer scientists to find solutions to the N-Queens problem on a mass scale.
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