The RoboCup Simulator League provides an excellent platform for research on swarm computing. Our research focuses on group behaviors emerge from collections of actors making decisions based on local information. Our RoboCup simulator team is designed around an architecture for experimenting with behavioral primitives defined over groups and mechanisms for combining those behaviors.

Zusammenfassung Aufgrund der zunehmenden Dynamik und erforderlichen Flexibilität in Wertschöpfungsketten werden Verfahren benötigt, die sich auf die Behandlung von Ausnahmeereignissen konzentrieren. Die damit verbundene Forderung, Transaktionen, die einen großen Teil des Zeitund Kostenaufwandes darstellen, schneller, effizienter und flexibler zu bewältigen, benötigt neue Strategien. Die folgend...

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Most research into Swarm Intelligence explores swarms of autonomous robots or simulated agents. Little work, however, has been done on swarms of networked humans. This paper introduces UNU, an online platform that enables networked users to assemble in real-time swarms and tackle problems as an Artificial Swarm Intelligence (ASI). Modeled after biological swarms, UNU enables large groups of net...

Swarm intelligence can provide robust, adaptable, scalable solutions to difficult problems. The distributed nature of swarm activity is the basis of these desirable qualities, but it also prevents swarm-based techniques from having direct access to global knowledge that could facilitate the task at hand. Our experiments indicate that a swarm system can use an auxiliary swarm, called a communica...

This paper describes SWARMUSIC, an interactive music improviser. A particle swarm algorithm is used to generate musical material by a mapping of particle positions onto events in MIDI space. Interaction with an external musical source arises through the attraction of the particle swarm to a target. SWARMUSIC is the first application of swarm intelligence to music.

In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorithm to be used at each “classifier node” in a classifier tree. These classifier nodes are used in a top-down divide and conquer fashion to classify the examples from hierarchical data sets. In this paper we propose a sw...

advances in swarm intelligence first international conference icsi 2010 beijing china june 12 15 What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive...

Often, when modelling a system there are properties and operations that are related to a group of objects rather than to a single object. In this paper we extend Java with Swarm Behavior , a new composition operator that associates behavior with a collection of instances. The lookup resolution of swarm behavior is based on the element type of a collection and is thus orthogonal to the collectio...