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Concerning the emergence of tag-mediated lookahead in classifier systems

dc.contributor.authorHolland, John Henryen_US
dc.date.accessioned2006-04-10T13:42:28Z
dc.date.available2006-04-10T13:42:28Z
dc.date.issued1990-06en_US
dc.identifier.citationHolland, John H. (1990/06)."Concerning the emergence of tag-mediated lookahead in classifier systems." Physica D: Nonlinear Phenomena 42(1-3): 188-201. <http://hdl.handle.net/2027.42/28531>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TVK-46G4VN3-G/2/267dd62871ebeb7fdde98345a4c6c509en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/28531
dc.description.abstractThis paper, after a general introduction to the area, discusses the architecture and learning algorithms that permit automatic parallel, distributed lookahead to emerge in classifier systems. Simple additions to a "standard" classifier system suffice, principally a new register called the virtual strength register, and a provision to use the bucket brigade credit assignment algorithm in "virtual" mode to modify values in this register. With these additions, current actions are decided on the basis of the expected values associated with the "lookahead cones" of possible alternatives.en_US
dc.format.extent1048380 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleConcerning the emergence of tag-mediated lookahead in classifier systemsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumComputer Science and Engineering, Psychology, The University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/28531/1/0000328.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-2789(90)90073-Xen_US
dc.identifier.sourcePhysica D: Nonlinear Phenomenaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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