TY - BOOK ID - 5452473 TI - Learning classifier systems : international workshops, IWLCS 2003-2005, revised selected papers AU - Kovacs, Tim AU - IWLCS 2003 PY - 2007 SN - 9783540712305 3540712305 9786610938391 1280938390 3540712313 PB - Berlin ; Heidelberg : Springer-Verlag, DB - UniCat KW - Machine learning KW - Apprentissage automatique KW - Congresses. KW - Congrès KW - Electronic books. -- local. KW - Genetic algorithms -- Congresses. KW - Machine learning -- Congresses. KW - Reinforcement learning -- Congresses. KW - Mechanical Engineering KW - Engineering & Applied Sciences KW - Computer Science KW - Mechanical Engineering - General KW - Information Technology KW - Artificial Intelligence KW - Genetic algorithms KW - Reinforcement learning KW - Computer science. KW - Computers. KW - Mathematical logic. KW - Data mining. KW - Artificial intelligence. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Computation by Abstract Devices. KW - Mathematical Logic and Formal Languages. KW - Data Mining and Knowledge Discovery. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Algebra of logic KW - Logic, Universal KW - Mathematical logic KW - Symbolic and mathematical logic KW - Symbolic logic KW - Mathematics KW - Algebra, Abstract KW - Metamathematics KW - Set theory KW - Syllogism KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Computer systems KW - Cybernetics KW - Calculators KW - Cyberspace KW - Informatics KW - Science KW - Reinforcement (Psychology) KW - Learning classifier systems KW - Artificial Intelligence. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5452473 AB - The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions. The topics presented in this volume summarize the wide spectrum of interests of the Learning Classi?er Systems (LCS) community. The topics range from theoretical analysis of mechanisms to practical cons- eration for successful application of such techniques to everyday data-mining tasks. When we started editing this volume, we faced the choice of organizing the contents in a purely chronologicalfashion or as a sequence of related topics that help walk the reader across the di?erent areas. In the end we decided to or- nize the contents by area, breaking the time-line a little. This is not a simple endeavor as we can organize the material using multiple criteria. The tax- omy below is our humble e?ort to provide a coherent grouping. Needless to say, some works may fall in more than one category. The four areas are as follows: Knowledge representation. These chapters elaborate on the knowledge r- resentations used in LCS. Knowledge representation is a key issue in any learning system and has implications for what it is possible to learn and what mechanisms shouldbe used. Four chapters analyze di?erent knowledge representations and the LCS methods used to manipulate them. ER -