標題: Titlebook: Conditionals in Nonmonotonic Reasoning and Belief Revision; Considering Conditio Gabriele Kern-Isberner Book 2001 Springer-Verlag Berlin He [打印本頁] 作者: MASS 時間: 2025-3-21 18:21
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision影響因子(影響力)
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision影響因子(影響力)學科排名
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision網(wǎng)絡(luò)公開度
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision網(wǎng)絡(luò)公開度學科排名
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision被引頻次
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision被引頻次學科排名
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision年度引用
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision年度引用學科排名
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision讀者反饋
書目名稱Conditionals in Nonmonotonic Reasoning and Belief Revision讀者反饋學科排名
作者: AVANT 時間: 2025-3-21 22:11 作者: BAN 時間: 2025-3-22 01:42 作者: jovial 時間: 2025-3-22 04:35 作者: 巨頭 時間: 2025-3-22 11:10
,Belief Revision and Nonmonotonic Reasoning — Revisited,ion (6.2) and Proposition 6.3.2). The crucial point here is that the ME-operator * . actually is a full revision operator taking . entries, namely a distribution P on its left and a (compatible and consistent) set of conditionals on its right. Nonmonotonic reasoning and belief revision usually focus作者: antidote 時間: 2025-3-22 15:53
Knowledge Discovery by Following Conditional Structures,, automate and improve this process.. and ., respectively, mean finding new and relevant information in databases. Usually, knowledge discovering is understood as the more comprehensive task, including preparing and cleaning the available data and interpreting the results revealed by the actual data作者: antidote 時間: 2025-3-22 17:53 作者: 側(cè)面左右 時間: 2025-3-23 00:40 作者: 易于交談 時間: 2025-3-23 03:09 作者: crockery 時間: 2025-3-23 07:49 作者: institute 時間: 2025-3-23 13:38
Naotomo Tatematsu,Jun Ohya,Larry Davise limitation to propositional beliefs severely restricts the frame of AGM theory, in particular, when iterated revisions have to be performed. So belief revision should not only be concerned with the revision of propositional beliefs but also with the modification of . when new information arrives (作者: Grasping 時間: 2025-3-23 14:16
Lecture Notes in Computer Sciencetees a logically sound reasoning is to use the . resp. the . to represent all available probabilistic knowledge by a unique distribution (see Section 2.5; cf. [Sho86, Kul68, Jay83a, GHK94]). Here we assume the available knowledge to constitute of a (consistent) set R of conditionals, each equipped w作者: Esalate 時間: 2025-3-23 21:03
Qing Wang,Hong Chen,Jinfeng Li,Dehai Zhuntain probabilistic formulas corresponding to material implication, too. We show that conditionalization in its usual sense relates to material implication, whereas the connections between nonmonotonic reasoning and conditionals are more complex..Though the ME-methods genuinely manipulate knowledge 作者: 脾氣暴躁的人 時間: 2025-3-24 00:54
https://doi.org/10.1007/978-3-662-50544-1ion (6.2) and Proposition 6.3.2). The crucial point here is that the ME-operator * . actually is a full revision operator taking . entries, namely a distribution P on its left and a (compatible and consistent) set of conditionals on its right. Nonmonotonic reasoning and belief revision usually focus作者: 恃強凌弱 時間: 2025-3-24 02:45 作者: 外面 時間: 2025-3-24 10:32 作者: 惡意 時間: 2025-3-24 11:11 作者: 音樂會 時間: 2025-3-24 18:07 作者: BUCK 時間: 2025-3-24 21:49 作者: 鑲嵌細工 時間: 2025-3-25 00:40
Lecture Notes in Computer Science6, DPT90, DP91b, LS88, Pea88, TGK92]). In many cases, only relatively few relationships between relevant variables are known, due to incomplete information. Or maybe, an abstractional representation is intended, incorporating only fundamental relationships. In both cases, the knowledge explicitly st作者: 使成整體 時間: 2025-3-25 07:20
Qing Wang,Hong Chen,Jinfeng Li,Dehai Zhuthrow light on this question from two different sides..The first part of this chapter (cf. also [KI98b]) investigates how infering at optimum entropy fits the formal framework for nonmonotonic reasoning of [Mak94]. In particular, we show that any inference operation based on ME-reasoning is . and sa作者: 他姓手中拿著 時間: 2025-3-25 08:44
https://doi.org/10.1007/978-3-662-50544-1s of reasoning in response to incoming information (cf. Chapter 2, in particular, Section 2.3). As we already pointed out, the crucial difference between both areas is the role of the knowledge base which is only implicit in nonmonotonic reasoning, but explicit and in fact in the focus of interest i作者: 清楚說話 時間: 2025-3-25 12:24
Yuyong He,Zhigeng Pan,Haiying Zhaoil the formal properties of conditionals, how to represent them appropriately and how to handle them under change of beliefs. Solving these problems is a necessary prerequisite to arrive at a satisfactory representation and processing of knowledge. When designing an expert system, however, at first 作者: Devastate 時間: 2025-3-25 17:48 作者: 攀登 時間: 2025-3-25 22:53 作者: Proclaim 時間: 2025-3-26 01:35
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/235221.jpg作者: modifier 時間: 2025-3-26 08:01
Qing Wang,Hong Chen,Yan Liu,Dehai ZhuConditionals are closely connected with reasoning - typically, they suggest plausible, yet often defeasible conclusions from what is evident. Therefore, studying conditionals means primarily to overcome the strict framework of classical logic and to enter into the world of defeasible reasoning, nonmonotonic logics and uncertain knowledge.作者: Locale 時間: 2025-3-26 12:28 作者: 蔓藤圖飾 時間: 2025-3-26 15:41
Introduction,Conditionals are closely connected with reasoning - typically, they suggest plausible, yet often defeasible conclusions from what is evident. Therefore, studying conditionals means primarily to overcome the strict framework of classical logic and to enter into the world of defeasible reasoning, nonmonotonic logics and uncertain knowledge.作者: BLAND 時間: 2025-3-26 16:47
Algorithms and Implementations,In this chapter, we present a selection of various computational approaches to quantified uncertain reasoning and probabilistic knowledge discovery.作者: 過分自信 時間: 2025-3-26 22:28 作者: 輕率看法 時間: 2025-3-27 04:21
978-3-540-42367-6Springer-Verlag Berlin Heidelberg 2001作者: 存心 時間: 2025-3-27 08:22 作者: Commodious 時間: 2025-3-27 10:59 作者: PRO 時間: 2025-3-27 15:42
Book 2001s in order to establish relationships and beliefs. This understanding of conditionals yields a rich theory which makes complex interactions between conditionals transparent and operational. Moreover,it provides a unifying and enhanced framework for knowledge representation, nonmonotonic reasoning, belief revision,and even for knowledge discovery.作者: Prostatism 時間: 2025-3-27 21:16
Conditionals,ing. In particular, we explain how ., imposed by conditionals on worlds, can be represented appropriately to investigate interrelated effects of conditionals..Parts of the ideas to be developed here can also be found in other papers (see, for instance, [KI98a, KI99c]), but most of the results presented in this chapter are new.作者: 殘酷的地方 時間: 2025-3-27 23:28 作者: 安撫 時間: 2025-3-28 02:14 作者: conceal 時間: 2025-3-28 07:42 作者: 下垂 時間: 2025-3-28 10:38 作者: 值得 時間: 2025-3-28 14:57 作者: 上流社會 時間: 2025-3-28 21:37 作者: 擁護者 時間: 2025-3-29 01:28
Reasoning at Optimum Entropy,throw light on this question from two different sides..The first part of this chapter (cf. also [KI98b]) investigates how infering at optimum entropy fits the formal framework for nonmonotonic reasoning of [Mak94]. In particular, we show that any inference operation based on ME-reasoning is . and sa作者: onlooker 時間: 2025-3-29 04:14 作者: 撫育 時間: 2025-3-29 08:46
Knowledge Discovery by Following Conditional Structures,il the formal properties of conditionals, how to represent them appropriately and how to handle them under change of beliefs. Solving these problems is a necessary prerequisite to arrive at a satisfactory representation and processing of knowledge. When designing an expert system, however, at first 作者: 思想 時間: 2025-3-29 14:08 作者: 柱廊 時間: 2025-3-29 19:28
