標題: Titlebook: Knowing our World: An Artificial Intelligence Perspective; George F. Luger Book 2021 Springer Nature Switzerland AG 2021 Artificial Intell [打印本頁] 作者: ARSON 時間: 2025-3-21 18:56
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書目名稱Knowing our World: An Artificial Intelligence Perspective讀者反饋
書目名稱Knowing our World: An Artificial Intelligence Perspective讀者反饋學科排名
作者: trigger 時間: 2025-3-21 22:02 作者: GRACE 時間: 2025-3-22 01:43 作者: 要求比…更好 時間: 2025-3-22 07:31 作者: 明智的人 時間: 2025-3-22 08:48 作者: Cardiac 時間: 2025-3-22 16:09 作者: 焦慮 時間: 2025-3-22 17:18
Book 2021e how we humans come to understand and operate in our world. While humankind’s history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals...Based on insights afforde作者: 悄悄移動 時間: 2025-3-22 22:26
Historical Foundationspecifications for computation, as we saw in Sect. ., and the mathematical systems that have supported and expanded its use. This tradition also produced the cognitive sciences, see Sect. ., and offers a foundation for a modern epistemology, Part III.作者: 反復無常 時間: 2025-3-23 01:27 作者: 石墨 時間: 2025-3-23 07:02 作者: finite 時間: 2025-3-23 13:24
Symbol-Based AI and Its Rationalist Presuppositionsedge, there is a bias toward utilization of unaided reason over sense experience (Blackburn 2008). Rene Descartes, as mentioned in Chap. 2, was arguably the most influential rationalist philosopher after Plato, and one of the first thinkers to propose a near axiomatic foundation for his worldview.作者: Dappled 時間: 2025-3-23 15:29
Bayesian-Based Constructivist Computational Modelsprobabilistic models for diagnosing complex situations, including a program for the monitoring and control of nuclear power generation.?The goal of this chapter is to offer computational accountability and epistemic sufficiency for the constructivist rapprochement and epistemic conjectures proposed in Chap. 7.作者: aspect 時間: 2025-3-23 19:46 作者: 愛管閑事 時間: 2025-3-23 22:15 作者: 好忠告人 時間: 2025-3-24 04:51
Toward an Active, Pragmatic, Model-Revising Realismphical tradition and the AI endeavor, we suggest that humans are best served by adopting an epistemic stance based on pragmatism, relativism, and an unconditioned commitment to the scientific method that supports progressively comprehending and utilizing our ever-evolving life-environment.作者: 密切關系 時間: 2025-3-24 08:26 作者: 歌唱隊 時間: 2025-3-24 12:03 作者: eustachian-tube 時間: 2025-3-24 18:50
https://doi.org/10.1007/978-3-030-71873-2Artificial Intelligence (AI); Evolutionary Computing; Historical Foundations for AI; Connectionist Appr作者: 遺棄 時間: 2025-3-24 20:49
978-3-030-71875-6Springer Nature Switzerland AG 2021作者: cleaver 時間: 2025-3-24 23:23 作者: 責難 時間: 2025-3-25 06:52 作者: arcane 時間: 2025-3-25 11:33
Modern AI and How We Got Hereuter, the birth of artificial intelligence, and the promise for a modern epistemology. We concluded Chap. . with Alan Turing’s test for determining when a computer program might be considered intelligent. Because of this test and his earlier foundational work in the science of computing, Alan Turing作者: 災禍 時間: 2025-3-25 15:12 作者: persistence 時間: 2025-3-25 16:59 作者: Mast-Cell 時間: 2025-3-25 20:35
Evolutionary Computation and Intelligenceeural systems, other biological analogs have influenced the design of search and learning algorithms in AI. This chapter considers algorithms patterned after the processes underlying evolution: shaping a population of individuals through the survival and reproduction of its most fit members. Chapter作者: 倔強一點 時間: 2025-3-26 03:02 作者: 清楚說話 時間: 2025-3-26 06:36 作者: Contracture 時間: 2025-3-26 11:01
Toward an Active, Pragmatic, Model-Revising Realism science of understanding ourselves and the world. Section 9.1 briefly reviews the story to this point. Section 9.2 discusses model building through exploring the environment, and Sect. 9.3 suggests several methods for the adaptation of models in light of new discoveries. Section 9.4 makes conjectur作者: 推測 時間: 2025-3-26 16:26
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