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007 | cr nn 008mamaa | ||
008 | 121227s2003 gw | s |||| 0|eng d | ||
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_a9783540245810 _9978-3-540-24581-0 |
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024 | 7 |
_a10.1007/b94701 _2doi |
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050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
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_aAI 2003: Advances in Artificial Intelligence _h[electronic resource] : _b16th Australian Conference on AI, Perth, Australia, December 3-5, 2003, Proceedings / _cedited by Tamas D. Gedeon, Lance C.C. Fung. |
250 | _a1st ed. 2003. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2003. |
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300 |
_aXXXII, 1078 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2903 |
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505 | 0 | _aKeynote Papers -- Ontology -- Problem Solving -- Knowledge Discovery and Data Mining I -- Knowledge Discovery and Data Milling II -- Expert Systems -- Neural Networks Applications -- Belief Revisioii and Theorem Proving -- Reasoning and Logic -- Machine Learning I -- AI Applications -- Neural Networks -- Intelligent Agents -- Computer Vision -- AI & Medical Applications -- Machine Learning II -- Machilie Learning and Language -- Artificial Intelligence I -- AI \& Business -- Soft Computing -- Language Understanding -- Theory -- Artificial Intelligence II. | |
520 | _aConsider 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. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aMachine theory. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aApplication software. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aFormal Languages and Automata Theory. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
700 | 1 |
_aGedeon, Tamas D. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aFung, Lance C.C. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540206460 |
776 | 0 | 8 |
_iPrinted edition: _z9783662181102 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2903 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/b94701 |
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_c188030 _d188030 |