LEADER 03546nam 2200649 a 450 001 9910483447803321 005 20200520144314.0 010 $a3-540-33352-5 024 7 $a10.1007/11734697 035 $a(CKB)1000000000236497 035 $a(SSID)ssj0000317486 035 $a(PQKBManifestationID)11208023 035 $a(PQKBTitleCode)TC0000317486 035 $a(PQKBWorkID)10294270 035 $a(PQKB)10374029 035 $a(DE-He213)978-3-540-33352-4 035 $a(MiAaPQ)EBC3067980 035 $a(PPN)123133351 035 $a(EXLCZ)991000000000236497 100 $a20060227d2006 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEngineering self-organising systems $ethird international workshop, ESOA 2005, Utrecht, The Netherlands, July 25, 2005 : revised selected papers /$fSven A. Brueckner ... [et al.] (eds.) 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$d2006 215 $a1 online resource (XII, 248 p.) 225 1 $aLNCS sublibrary. SL 7, Artificial intelligence 225 1 $aLecture notes in artificial intelligence,$x0302-9743 ;$v3910 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-33342-8 320 $aIncludes bibliographical references and author index. 327 $apt. 1. Self-organising mechanisms -- pt. 2. Methodologies, models and tools -- pt. 3. Applications. 330 $aThe idea that self-organisation and emergence can be harnessed for the purpose of solving tricky engineering problems is becoming increasingly accepted. - searchers working in many diverse ?elds (such as networks, distributed systems, operating systems and agent systems) are beginning to apply this new approach. This book contains recent work from a broad range of areas with the common theme of utilising self-organisation productively. As distributed information infrastructures continue to spread (such as the Internet, wireless and mobile systems), new challenges have arisen demanding robust and scalable solutions. In these new challenging environments the - signers and engineers of global applications and services can seldom rely on centralised control or management, high reliability of devices, or secure en- ronments. At the other end of the scale, ad-hoc sensor networks and ubiquitous computing devices are making it possible to embed millions of smart computing agents into the local environment. Here too systems need to adapt to constant failures and replacement of agents and changes in the environment, without human intervention or centralised management. 410 0$aLecture notes in computer science ;$v3910. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 410 0$aLNCS sublibrary.$nSL 7,$pArtificial intelligence. 517 3 $aEngineering self-organizing systems 517 3 $aESOA 2005 606 $aSelf-organizing systems$vCongresses 606 $aEvolutionary programming (Computer science)$vCongresses 606 $aEvolutionary computation$vCongresses 615 0$aSelf-organizing systems 615 0$aEvolutionary programming (Computer science) 615 0$aEvolutionary computation 676 $a006.3 701 $aBrueckner$b Sven A$01752588 712 12$aESOA 2005 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483447803321 996 $aEngineering self-organising systems$94196731 997 $aUNINA