LEADER 02615nam 2200649 a 450 001 9910139246303321 005 20200520144314.0 010 $a1-118-55756-5 010 $a1-299-31543-7 010 $a1-118-61966-8 035 $a(CKB)2560000000100624 035 $a(EBL)1143621 035 $a(OCoLC)830161655 035 $a(SSID)ssj0000832662 035 $a(PQKBManifestationID)11501378 035 $a(PQKBTitleCode)TC0000832662 035 $a(PQKBWorkID)10900229 035 $a(PQKB)10228014 035 $a(MiAaPQ)EBC1143621 035 $a(Au-PeEL)EBL1143621 035 $a(CaPaEBR)ebr10671498 035 $a(CaONFJC)MIL462793 035 $a(EXLCZ)992560000000100624 100 $a20091218d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnt colony optimization and constraint programming$b[electronic resource] /$fChristine Solnon 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2010 215 $a1 online resource (248 p.) 225 1 $aISTE 300 $aDescription based upon print version of record. 311 $a1-84821-130-9 320 $aIncludes bibliographical references (p. 219-230) and index. 327 $apt. 1. Constraint programming -- pt. 2. Ant colony optimization -- pt. 3. CP with ACO. 330 $aAnt colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search 410 0$aISTE 606 $aConstraint programming (Computer science) 606 $aMathematical optimization 606 $aSwarm intelligence 606 $aAnt algorithms 608 $aElectronic books. 615 0$aConstraint programming (Computer science) 615 0$aMathematical optimization. 615 0$aSwarm intelligence. 615 0$aAnt algorithms. 676 $a005.1/16 700 $aSolnon$b Christine$0860417 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139246303321 996 $aAnt colony optimization and constraint programming$91919745 997 $aUNINA LEADER 02755nam 2200457z- 450 001 9910557555203321 005 20211118 035 $a(CKB)5400000000044054 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/73809 035 $a(oapen)doab73809 035 $a(EXLCZ)995400000000044054 100 $a20202111d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApproaches to Language: Data, Theory, and Explanation 210 $cFrontiers Media SA$d2020 215 $a1 online resource (281 p.) 311 08$a2-88963-668-2 330 $aThe study of language has changed substantially in the last decades. In particular, the development of new technologies has allowed the emergence of new experimental techniques which complement more traditional approaches to data in linguistics (like informal reports of native speakers' judgments, surveys, corpus studies, or fieldwork). This move is an enriching feature of contemporary linguistics, allowing for a better understanding of a phenomenon as complex as natural language, where all sorts of factors (internal and external to the individual) interact (Chomsky 2005). This has generated some sort of divergence not only in research approaches, but also in the phenomena studied, with an increasing specialization between subfields and accounts. At the same time, it has also led to subfield isolation and methodological a priori, with some researchers even claiming that theoretical linguistics has little to offer to cognitive science (see for instance Edelman & Christiansen 2003). We believe that this view of linguistics (and cognitive science as a whole) is misguided, and that the complementarity of different approaches to such a multidimensional phenomenon as language should be highlighted for convergence and further development of its scientific study (see also Jackendoff 1988, 2007; Phillips & Lasnik 2003; den Dikken, Bernstein, Tortora & Zanuttini 2007; Sprouse, Schu?tze & Almeida 2013; Phillips 2013). 517 $aApproaches to Language 606 $aPsychology$2bicssc 606 $aScience: general issues$2bicssc 610 $adata 610 $aevidence 610 $aexperiments 610 $aexplanation 610 $alinguistics 610 $atheory 615 7$aPsychology 615 7$aScience: general issues 700 $aGallego$b A?ngel J$4edt$01171668 702 $aIrurtzun$b Aritz$4edt 702 $aGallego$b A?ngel J$4oth 702 $aIrurtzun$b Aritz$4oth 906 $aBOOK 912 $a9910557555203321 996 $aApproaches to Language: Data, Theory, and Explanation$93018593 997 $aUNINA