Swarm intelligence is a new computational intelligence paradigm combining concepts and principles derived from several fields, such as biology (social insects), mathematics and social sciences. The basic idea underlying swarm intelligence is that individuals following very simple rules interact to produce an intelligent behaviour – often a solution to a complex problem – at the higher level of the society of individuals. Hence, intelligence is an emergent phenomenon, i.e., “the whole is more than the sum of the parts”.
The aim of this project is to establish an interdisciplinary research cluster involving computer scientists, biologists and mathematicians to develop high-quality research proposals in the area of PSO, the rapidly developing area of swarm intelligence. The interactions between individuals can be divided into two broad approaches. On one hand, a computational and/or mathematical model of a swarm intelligence phenomenon can shed light onto that phenomenon. In particular, computational models allow researchers to exploit several different scenarios in a relatively short time period (typically, much shorter than the time required to perform the corresponding biological experiment). Mathematical models allow researchers to obtain proofs of convergence and other formal results about the behavior of the system (either a natural or artificial system). A more accurate understanding of biological swarm intelligence can lead to the design of a more effective computational intelligence algorithm.
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