ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects of complex computing systems exhibiting autonomous and adaptive behavior. TAAS encourages contributions advancing the state of the art in the understanding, development, and control of such systems. Contributions are typically based on sound theoretical models and supported by proper experimentations/validations. Surveys are welcome too. TAAS domains of interest include: complexity and emergence in software systems, self-ware, autonomic computing and communication, multi-agent systems, peer-to-peer systems, biologically and socially inspired computing, swarm intelligence, pervasive and mobile computing, evolutionary computing. The general goal of the journal is to address the wide range of research being undertaken by an interdisciplinary computing community and to provide a common platform under which this work can be published and disseminated.

ACM Transactions on Autonomous and Adaptive Systems

BABAOGLU, OZALP
2007

Abstract

ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects of complex computing systems exhibiting autonomous and adaptive behavior. TAAS encourages contributions advancing the state of the art in the understanding, development, and control of such systems. Contributions are typically based on sound theoretical models and supported by proper experimentations/validations. Surveys are welcome too. TAAS domains of interest include: complexity and emergence in software systems, self-ware, autonomic computing and communication, multi-agent systems, peer-to-peer systems, biologically and socially inspired computing, swarm intelligence, pervasive and mobile computing, evolutionary computing. The general goal of the journal is to address the wide range of research being undertaken by an interdisciplinary computing community and to provide a common platform under which this work can be published and disseminated.
G. Di Marzo Serugendo; E. Bonabeau, O. Babaoglu
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/52810
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