Anonymous 发表于 2025-3-23 12:23:09
Neurologic Syndromes and HallucinationsTM is able to flexibly provide reasoners accurate and timely storage and recall of episodic memory structures. In addition, the ULTM provides support for recognizing opportunities to satisfy ., allowing reasoning systems to better cope with the unpredictability of dynamic real-world domains by helping them take advantage of unexpected events.织物 发表于 2025-3-23 17:26:50
http://reply.papertrans.cn/23/2224/222320/222320_12.pngexpdient 发表于 2025-3-23 20:55:37
Cancer — New Hope for Young and Oldnd planning from first principles in previous systems is generalised to intelligently employing different planning strategies with the objective to solve more problems at all and to solve problems more efficiently.相信 发表于 2025-3-24 00:52:34
http://reply.papertrans.cn/23/2224/222320/222320_14.pngFUSC 发表于 2025-3-24 04:01:53
Towards a Unified Theory of Adaptation in Case-Based Reasoningolved). Thus, the issue of case adaptation can be addressed by studying the issue of plan adaptation. Finally, it is shown how case retrieval and case adaptation can be related thanks to reformulations and similarity paths.匍匐 发表于 2025-3-24 07:05:38
http://reply.papertrans.cn/23/2224/222320/222320_16.pngNotorious 发表于 2025-3-24 11:22:23
Case Representation, Acquisition, and Retrieval in SIROCCO in SIROCCO, a world-wide web tool developed to perform case acquisition and support a measure of consistency in representation, and an experiment to validate the initial phase of SIROCCO’s retrieval algorithm and test its sensitivity to small variations in case description.deficiency 发表于 2025-3-24 18:36:01
Flexibly Interleaving Processesnd planning from first principles in previous systems is generalised to intelligently employing different planning strategies with the objective to solve more problems at all and to solve problems more efficiently.感情 发表于 2025-3-24 19:51:31
Integrating CBR and Heuristic Search for Learning and Reusing Solutions in Real-time Task Schedulingarch. A particularly interesting feature of CBR-RTS is its learning ability. New problems solved by the heuristic scheduler can be added to the case base for future reuse. Performed tests have shown that small bases of cases carefully chosen allow to substantially reduce the time needed to solve new complex problems无节奏 发表于 2025-3-25 00:35:33
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