TY - BOOK ID - 5448015 TI - AI 2003: Advances in Artificial Intelligence : 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003, Proceedings AU - Gedeon, Tamas D. AU - Fung, Lance C.C. AU - Australian Conference on AI PY - 2003 SN - 9783540206460 3540206469 9783540245810 9786610306572 1280306572 3540245812 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Artificial intelligence KW - Intelligence artificielle KW - Congresses. KW - Congrès KW - Computer science. KW - Database management. KW - Information storage and retrieval systems. KW - Information systems. KW - Artificial intelligence. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Computation by Abstract Devices. KW - Mathematical Logic and Formal Languages. KW - Database Management. KW - Information Storage and Retrieval. KW - Information Systems Applications (incl.Internet). KW - Engineering & Applied Sciences KW - Computer Science KW - Computers. KW - Mathematical logic. KW - Information storage and retrieval. KW - Information Systems Applications (incl. Internet). 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 - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management 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 - Information storage and retrieva. KW - Artificial Intelligence. KW - Automatic data storage KW - Automatic information retrieval KW - Automation in documentation KW - Computer-based information systems KW - Data processing systems KW - Data storage and retrieval systems KW - Discovery systems, Information KW - Information discovery systems KW - Information processing systems KW - Information retrieval systems KW - Machine data storage and retrieval KW - Mechanized information storage and retrieval systems KW - Electronic information resources KW - Data libraries KW - Digital libraries KW - Information organization KW - Information retrieval KW - Application software. KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Logic, Symbolic and mathematical. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5448015 AB - Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse. ER -