000 03404nam a22005295i 4500
999 _c12473
_d12473
001 978-3-319-51388-1
003 DE-He213
005 20211207143512.0
008 161223s2017 gw | s |||| 0|eng d
020 _a9783319513881
040 _cAIKTC-KRRC
041 _aENG
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aByrski, Aleksander.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aEvolutionary Multi-Agent Systems
_h[electronic resource] :
_bFrom Inspirations to Applications /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIV, 210 p. 77 illus.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v680
520 _aThis book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.
650 0 _aComputer Engineering
_94622
653 _aComputational Intelligence.
653 _aArtificial Intelligence.
653 _aAlgorithm Analysis and Problem Complexity.
700 1 _aKisiel-Dorohinicki, Marek.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319513874
776 0 8 _iPrinted edition:
_z9783319513898
776 0 8 _iPrinted edition:
_z9783319846378
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v680
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51388-1
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc