標題: Titlebook: Artificial Psychology; Psychological Modeli James A. Crowder,John Carbone,Shelli Friess Book 2020 Springer Nature Switzerland AG 2020 Artif [打印本頁] 作者: 口語 時間: 2025-3-21 19:05
書目名稱Artificial Psychology影響因子(影響力)
書目名稱Artificial Psychology影響因子(影響力)學科排名
書目名稱Artificial Psychology網(wǎng)絡(luò)公開度
書目名稱Artificial Psychology網(wǎng)絡(luò)公開度學科排名
書目名稱Artificial Psychology被引頻次
書目名稱Artificial Psychology被引頻次學科排名
書目名稱Artificial Psychology年度引用
書目名稱Artificial Psychology年度引用學科排名
書目名稱Artificial Psychology讀者反饋
書目名稱Artificial Psychology讀者反饋學科排名
作者: 熔巖 時間: 2025-3-21 23:47
Abductive Artificial Intelligence Learning Models,es of abductive reasoning to various artificial intelligence applications. Here we discuss machine learning models based on abductive learning techniques and their implications to artificial reasoning.作者: nonplus 時間: 2025-3-22 03:35 作者: 閑蕩 時間: 2025-3-22 07:06
Introduction: Psychology and Technology, what is the true reality? We continually push to create increasingly intelligent systems/machines that attempt to learn, think, and reason like humans. Therefore, our first question becomes, when presented with this challenge is:作者: licence 時間: 2025-3-22 10:58
Book 2020cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar 作者: Consensus 時間: 2025-3-22 14:53
https://doi.org/10.1007/978-1-349-07704-5e critically influenced by implicit learning and knowledge and we need to understand how implicit vs. implicit learning and knowledge affect the ability of systems to learn and act effectively and correctly.作者: 粘土 時間: 2025-3-22 17:36
Conclusions and Next Steps,e critically influenced by implicit learning and knowledge and we need to understand how implicit vs. implicit learning and knowledge affect the ability of systems to learn and act effectively and correctly.作者: 不理會 時間: 2025-3-22 21:23
sight into the world of cognitive architectures and biologicThis book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical test作者: sinoatrial-node 時間: 2025-3-23 04:20
https://doi.org/10.1007/978-1-349-07704-5al intelligence in application of autonomous reasoning, knowledge assimilation, belief revision, and works well within a multi-agent AI framework. Here we present a flexible, hypothesis-driven methodology for Occam Abduction within a cognitive, artificially intelligent, system architecture.作者: 夾死提手勢 時間: 2025-3-23 07:49 作者: Libido 時間: 2025-3-23 11:40
https://doi.org/10.1007/978-3-030-17081-3Artificial Brain; Artificial Human Communication; Artificial Intelligence; Artificial Neural Memories; A作者: 吹牛者 時間: 2025-3-23 16:05
Springer Nature Switzerland AG 2020作者: 裂縫 時間: 2025-3-23 21:29
https://doi.org/10.1007/978-1-349-07704-5nes to our cars, and everything in between, artificial intelligence is an integral part of our existence. Many prominent people, like Elon Musk and Stephen Hawking, have warned about the potential for machines to take over and cause havoc in the lives and very existence of humans. Hollywood has made作者: 整頓 時間: 2025-3-23 23:02
https://doi.org/10.1007/978-1-349-07704-5eople, and/or organizations to study and understand interaction between individuals (or subsystems), departments (or system elements), and/or business units (or legacy systems) within an organization or overall system-of-systems design (Miller, Living systems, McGraw-Hill, London, 1978). The element作者: Biguanides 時間: 2025-3-24 04:03 作者: COW 時間: 2025-3-24 08:02
https://doi.org/10.1007/978-1-349-07704-5wledge, observations, and experiences to affect changes within the system which support performing new tasks previously unknown, or performing tasks already learned, more efficiently and effectively (Crowder, Reusable launch vehicle automated mission planning concepts, Lockheed Martin, Littleton, 19作者: 帳單 時間: 2025-3-24 11:21
https://doi.org/10.1007/978-1-349-07704-5arning involves finding the best explanation for a set of observations, based on creating a set of possible explanatory hypotheses. Formal models have been created (Abe, Proceedings of the IJCAI97 Workshop on Induction, 1997), which are utilized to analyze the properties and computational efficienci作者: 分開 時間: 2025-3-24 16:25
,: ‘I want to be disinherited’,t is necessary to investigate creative processes from a mechanistic perspective as well as involve subjective elements which cannot, in principle, be described from this perspective. These two basic approaches will be investigated here, focusing the artificial creative process on the nature of artif作者: 暴露他抗議 時間: 2025-3-24 19:22
https://doi.org/10.1007/978-1-349-07704-5 Occam Abduction, which relates to finding the simplest explanation with respect to inferring cause from effect. Occam abduction is useful in artificial intelligence in application of autonomous reasoning, knowledge assimilation, belief revision, and works well within a multi-agent AI framework. Her作者: Dysplasia 時間: 2025-3-25 01:51 作者: Anticoagulants 時間: 2025-3-25 07:17
,: ‘I want to be disinherited’,an Artificial Intelligent System (AIS) can be thought of as the system’s Knowledge Base (KB) or knowledge ontology (Newell et al., Preliminary description of general problem-solving program-i (gps-i). Carnegie Institute of Technology, Pittsburgh, PA, 1957). What does the AIS know, what has it learne作者: helper-T-cells 時間: 2025-3-25 08:40
https://doi.org/10.1007/978-1-349-07704-5d interaction with their environments is, at best, difficult, and in some cases impossible. This is especially true if the methods and mechanisms to capture the adaptation and changing memories are not built into the overall system design. Here we present one notion of testing and control methodolog作者: GET 時間: 2025-3-25 13:08
,: ‘I want to be disinherited’,g and/or heterogeneous data environments, either in real-time, or in near-real-time. Typically, in real-time applications, large amounts of disparate data must be processed, learned from, and actionable intelligence provided in terms of recognition of evolving activities. Applications like Rapid Sit作者: 犬儒主義者 時間: 2025-3-25 17:57 作者: 蛙鳴聲 時間: 2025-3-25 20:27 作者: 神秘 時間: 2025-3-26 01:46
https://doi.org/10.1007/978-1-349-07704-5d development is needed. One major topic of research to be continued is to understand the variables that can be used to control learning performance and explicit knowledge in the context of human interaction with artificial intelligent entities [1]. The relationship between implicit and explicit mod作者: 鬼魂 時間: 2025-3-26 06:37 作者: 監(jiān)禁 時間: 2025-3-26 11:35 作者: 傳染 時間: 2025-3-26 16:12 作者: 價值在貶值 時間: 2025-3-26 20:44 作者: commodity 時間: 2025-3-26 23:00
,Human–AI Collaboration,stem of Intelligent information Software Agents (ISAs) to facilitate collaborative communication between humans and artificially intelligent systems (Scally et al., Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, HI, 2011).作者: 做方舟 時間: 2025-3-27 03:23
Artificial Creativity and Self-Evolution: Abductive Reasoning in Artificial Life Forms,on available to allow artificial life forms to self-organize and infer on sensory information. In this sense, we will argue that a deeper understanding of how self-organizing processes involving abductive reasoning may take place in artificial dynamic systems, and how this can assist in the creation作者: slipped-disk 時間: 2025-3-27 08:31
Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems,d specifications of software agents that are used to provide self-soothing and self-healing constructs for intelligent systems (Flexible object architectures for hybrid neural processing systems, Las Vegas, NV, 2010).作者: 百靈鳥 時間: 2025-3-27 13:10 作者: 作嘔 時間: 2025-3-27 14:10 作者: 代理人 時間: 2025-3-27 19:02 作者: OATH 時間: 2025-3-28 00:06 作者: 仲裁者 時間: 2025-3-28 03:55 作者: miniature 時間: 2025-3-28 08:28
nt, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling..Explores the concepts of Artificial Psychology and Artific978-3-030-17081-3作者: 反對 時間: 2025-3-28 11:10
Book 2020d explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling..Explores the concepts of Artificial Psychology and Artific作者: 放逐 時間: 2025-3-28 15:02
https://doi.org/10.1007/978-1-349-07704-5critical thinking, systems thinking requires many skills to create a holistic view of an entire system and its current and predicted behavior (Ashby, Design for a brain: The origin of adaptive behavior, Chapman & Hall, London, 1960).作者: 草本植物 時間: 2025-3-28 20:30 作者: 類人猿 時間: 2025-3-29 00:10 作者: 罐里有戒指 時間: 2025-3-29 06:53 作者: 灰姑娘 時間: 2025-3-29 09:51 作者: indifferent 時間: 2025-3-29 11:43 作者: Mendicant 時間: 2025-3-29 17:52
https://doi.org/10.1007/978-1-349-07704-5pose here is to describe a new cognitive architecture for artificial intelligence-controlled devices that incorporates artificial procedural memory creation and recall. This cognitive architecture provides a scalable framework for episodic memory creation as an entity experiences events, and, over t作者: macabre 時間: 2025-3-29 22:29
,: ‘I want to be disinherited’,CON-SP-0014-2002-06, Fort Meade, 2002; and Crowder, Cognitive systems for data fusion. In: Proceedings of the 2005 PSTN Processing Technology Conference, Ft. Wayne, 2005)..In this chapter, we prescribe potential methods and strategies for continuously adapting, life-long machine learning within a se作者: Endoscope 時間: 2025-3-30 03:06
https://doi.org/10.1007/978-1-349-07704-5ial intelligent entities, and the notion of implicit learning within the artificial intelligent entity; how this will lead to implicit memories and how they might affect an overall artificial intelligent entity, for better or worse.作者: Insubordinate 時間: 2025-3-30 04:56
https://doi.org/10.1007/978-1-349-07704-5fic, multi-disciplinary information content. Additionally, increased automation is the norm and truly autonomous systems are the growing future for atomic/subatomic exploration and within challenging environments unfriendly to the physical human condition. Simultaneously, the size, speed, and comple作者: accordance 時間: 2025-3-30 08:34 作者: GRILL 時間: 2025-3-30 14:04
Systems-Level Thinking for Artificial Intelligent Systems,eople, and/or organizations to study and understand interaction between individuals (or subsystems), departments (or system elements), and/or business units (or legacy systems) within an organization or overall system-of-systems design (Miller, Living systems, McGraw-Hill, London, 1978). The element作者: Noctambulant 時間: 2025-3-30 18:37
Psychological Constructs for AI Systems: The Information Continuum,e designing new ways to perform data capture, processing, analysis, and dissemination of high volume, high data rate, streams of information (what today would be called a “big data” problem). Hence, data analysis and lack of quality user interaction within that process are not a new problem. Users h
