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- W2183627068 abstract "People have always tried to understand nature phenomena. In computer science they are mostly used as a source of inspiration for solving various problems. In my Ph.D. research I use fireflies as a role model for synchronization in a heterogeneous Multi-Agent System (MAS). In nature, each firefly flashes at regular intervals when isolated, while as a part of a group it adjusts its flashes upon reception of flashes from other fireflies in order to synchronize with them. This concept can be used in MASs since every agent can run an algorithm similar to the one ”ran” by fireflies. Although many scientists (e.g. Leidenfrost et al. [5] and Tyrrell et al. [11]) gave their contribution to science investigating firefly-inspired synchronization, there are still open issues such as the one I am working on. My research objective is to answer the following question: Can different agents in a heterogeneous MAS (such as the Machineto-Machine (M2M) system) synchronize themselves using a self-organizing principle inspired by fireflies. The M2M is a concept that defines rules and relationships among different machines which communicate in heterogeneous networks. This concept also implies a high level of independence among communicating machines. Even though there are hundreds of different species of fireflies, all those fireflies can self-organize themselves and achieve synchronization regardless of which species they belong to. Thus, I conduct research to see whether the same principle can be applied in a heterogeneous MAS, i.e. the M2M system." @default.
- W2183627068 created "2016-06-24" @default.
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- W2183627068 date "2012-01-01" @default.
- W2183627068 modified "2023-09-27" @default.
- W2183627068 title "Firefly-Inspired Synchronization in Multi-Agent Systems (Extended Abstract)" @default.
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