標(biāo)題: Titlebook: Artificial Intelligence Techniques for Rational Decision Making; Tshilidzi Marwala Book 2014 Springer International Publishing Switzerland [打印本頁] 作者: Coronary-Artery 時(shí)間: 2025-3-21 18:26
書目名稱Artificial Intelligence Techniques for Rational Decision Making影響因子(影響力)
書目名稱Artificial Intelligence Techniques for Rational Decision Making影響因子(影響力)學(xué)科排名
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書目名稱Artificial Intelligence Techniques for Rational Decision Making網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence Techniques for Rational Decision Making被引頻次
書目名稱Artificial Intelligence Techniques for Rational Decision Making被引頻次學(xué)科排名
書目名稱Artificial Intelligence Techniques for Rational Decision Making年度引用
書目名稱Artificial Intelligence Techniques for Rational Decision Making年度引用學(xué)科排名
書目名稱Artificial Intelligence Techniques for Rational Decision Making讀者反饋
書目名稱Artificial Intelligence Techniques for Rational Decision Making讀者反饋學(xué)科排名
作者: 越自我 時(shí)間: 2025-3-21 21:25
Artificial Intelligence Techniques for Rational Decision Making作者: 有罪 時(shí)間: 2025-3-22 03:13 作者: 生氣的邊緣 時(shí)間: 2025-3-22 07:19 作者: 蠟燭 時(shí)間: 2025-3-22 09:40
https://doi.org/10.1007/978-3-658-39193-5s simply means that we define utility as the value that is derived from a good minus the cost of that good. Thus if the good is quite valuable but is also equally expensive then its utility is zero because its value and cost balance out.作者: 保守黨 時(shí)間: 2025-3-22 16:35 作者: 拱墻 時(shí)間: 2025-3-22 18:35 作者: 神化怪物 時(shí)間: 2025-3-22 21:18 作者: 洞察力 時(shí)間: 2025-3-23 02:53 作者: 樸素 時(shí)間: 2025-3-23 05:44 作者: Tortuous 時(shí)間: 2025-3-23 11:37
Filtering Irrelevant Information for Rational Decision Making,evant information. These methods are marginalization of irrationality approach, automatic relevance determination, principal component analysis and independent component analysis. These techniques are applied to condition monitoring, credit scoring, interstate conflict and face recognition.作者: 匍匐 時(shí)間: 2025-3-23 13:58 作者: 爵士樂 時(shí)間: 2025-3-23 18:18 作者: 遣返回國 時(shí)間: 2025-3-23 23:20 作者: Assemble 時(shí)間: 2025-3-24 02:21
Antje Ducki,Florian Welter,Julia Günthernference, the theory of rational expectation, the theory of rational choice and the theory of rational conterfactuals are described. The theory of flexibly bounded rationality is applied for decision making process. This is done by using a multi-layer perceptron network and particle swarm optimization.作者: Debate 時(shí)間: 2025-3-24 07:13 作者: 鋼筆記下懲罰 時(shí)間: 2025-3-24 12:08
Flexibly-Bounded Rationality in Interstate Conflict,nference, the theory of rational expectation, the theory of rational choice and the theory of rational conterfactuals are described. The theory of flexibly bounded rationality is applied for decision making process. This is done by using a multi-layer perceptron network and particle swarm optimization.作者: dialect 時(shí)間: 2025-3-24 18:36 作者: 緊張過度 時(shí)間: 2025-3-24 19:22 作者: propose 時(shí)間: 2025-3-25 03:08 作者: Admonish 時(shí)間: 2025-3-25 04:44 作者: 口訣法 時(shí)間: 2025-3-25 09:17
Rational Counterfactuals and Decision Making: Application to Interstate Conflict,r real), and knowledge of the laws that govern the relationships between the antecedent and the consequent, that maximizes the attainment of the desired consequent. In counterfactual thinking factual statements like: ‘Saddam Hussein invaded Kuwait and consequently George Bush declared war on Iraq’ a作者: 細(xì)絲 時(shí)間: 2025-3-25 12:51 作者: Mortar 時(shí)間: 2025-3-25 19:40 作者: CURL 時(shí)間: 2025-3-25 22:52 作者: eulogize 時(shí)間: 2025-3-26 01:08
Conclusion,s to maximize its utility. Utility is a difficult concept to grasp. It is classically defined as the ability of an object to satisfy needs. Much has been written about utility and its derivative expected utility. One definition of utility which dominates the economics field is that it is a represent作者: 最有利 時(shí)間: 2025-3-26 05:47 作者: Bmd955 時(shí)間: 2025-3-26 08:31
https://doi.org/10.1007/978-3-030-17701-0elation machines which are used for rational decision making. Furthermore, causality concepts are defined and used to build causal machines which are also used for rational decision making. Artificial intelligence methods considered in this book are support vector machines, rough sets, fuzzy systems作者: 混沌 時(shí)間: 2025-3-26 15:13
https://doi.org/10.1007/978-3-658-08791-3ristic between the variables required to make a rational decision and the actual rational decision. This, therefore, implies that rational decision making can be viewed as a missing data in a topology that includes both the action variables and the decision. This technique is applied using an autoas作者: LUDE 時(shí)間: 2025-3-26 18:38
Sabina Jeschke,Anja Richert,Claudia Joo?r real), and knowledge of the laws that govern the relationships between the antecedent and the consequent, that maximizes the attainment of the desired consequent. In counterfactual thinking factual statements like: ‘Saddam Hussein invaded Kuwait and consequently George Bush declared war on Iraq’ a作者: 易于出錯(cuò) 時(shí)間: 2025-3-26 22:47 作者: 遭受 時(shí)間: 2025-3-27 05:04
https://doi.org/10.1007/978-3-658-08791-3levant it needs to be marginalized or eliminated. Making decisions using information which contains irrelevant information often confuses a decision making process. In this chapter we discuss four methods for making rational decisions by either marginalizing irrelevant information or not using irrel作者: 改變立場 時(shí)間: 2025-3-27 06:11
https://doi.org/10.1007/978-3-658-39193-5ons. Decision making in groups is when individuals come together and make decisions in whatever manner that is feasible. Governments, organizations and companies are involved in group decision making. This chapter studies the concept of group decision making and how artificial intelligence is used t作者: CAMP 時(shí)間: 2025-3-27 11:43 作者: Indent 時(shí)間: 2025-3-27 16:03
https://doi.org/10.1007/978-3-322-80274-3This chapter describes and defines a causal function within the context of rational decision making. This is implemented using rough sets to build the causal machines. The rough sets were successfully used to identify the causal relationship between the militarized interstate dispute variables (causes) and conflict status effects.作者: 慷慨不好 時(shí)間: 2025-3-27 21:42
Sabina Jeschke,Robert Schmitt,Alicia Dr?geThis chapter describes and defines a correlation function within the context of rational decision making. The correlation function is implemented using support vector machine. It was successfully applied to identify the correlation relationship between the electroencephalogram (EEG) signal and eliptic activity of patients.作者: chronicle 時(shí)間: 2025-3-28 01:49
Causal Function for Rational Decision Making: Application to Militarized Interstate Dispute,This chapter describes and defines a causal function within the context of rational decision making. This is implemented using rough sets to build the causal machines. The rough sets were successfully used to identify the causal relationship between the militarized interstate dispute variables (causes) and conflict status effects.作者: mutineer 時(shí)間: 2025-3-28 04:10 作者: –LOUS 時(shí)間: 2025-3-28 09:32
https://doi.org/10.1007/978-3-319-11424-8Artificial intelligence; Causality; Correlation; Decision making framework; Flexibly-bounded rationality作者: 會(huì)議 時(shí)間: 2025-3-28 11:16
978-3-319-38298-2Springer International Publishing Switzerland 2014作者: Conscientious 時(shí)間: 2025-3-28 15:02 作者: Interim 時(shí)間: 2025-3-28 20:50
