3rd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Hyogo, Japan

Abbrevation

BIONETICS

Link

http://www.bionetics.org/

City

Hyogo

Country

Japan

Deadline Paper

2008-07-01

Start Date

2008-11-25

End Date

2008-11-28

Abstract

Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at multiple scales, from the global Internet scale down to micro– and nano–devices. Many of these devices are highly mobile and autonomous, and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized computing systems capable of operating under changing environments and noisy input, and yet exhibit the desired behaviour and response time, under constraints such as energy consumption, size, and processing power. These systems should be able to adapt and learn how to react to unforeseen scenarios as well as to display properties comparable to social entities. Biological systems are able to handle many of these challenges with an elegance and efficiency still far beyond current human artifacts. Based on this observation, bio–inspired approaches have been proposed in the past years as a strategy to handle the complexity of such systems. The goal is to obtain methods on how to engineer technical solutions which have similar high stability and efficiency as biological entities often have. The BIONETICS conference aims at bringing together researchers and scientists from several disciplines in computer science and engineering where bio–inspired methods are investigated. Keywords: <TABLE cellPadding=3 width=″100%″ border=0> <TBODY> <TR> <TD vAlign=top> Bio–inspired mathematical models, methods and tools: • Mathematical models of biological processes • Qualitative assessment of evolutionary algorithms • Multiscale dynamics of emergent properties • Artificial immune and self–healing systems • Cellular signaling pathways Bio–inspired technical systems: • Engineering methods and tools for bio–inspired systems • Bio–inspired service evolution and optimization • Pandemic service deployment strategies</TD> <TD> Bio–inspired information and communication systems (ICT): • Network algorithms and protocols • Autonomic communication systems • Evolution of network architectures and protocols • Adaptive and self–healing network architectures • Self–organizing network paradigms • In–network processing and autonomic networking • Adaptive sensor and actor networks • Topology control and network organization • Localization and synchronization • Mobility models • Multi–agent systems and robotics • Novel applications and services • Self–learning defense strategies • Adaptive and evolving protection mechanisms • Network and information security • Experimental studies • Nano–scale and molecular communication</TD></TR></TBODY></TABLE>