標(biāo)題: Titlebook: Explainable, Transparent Autonomous Agents and Multi-Agent Systems; Second International Davide Calvaresi,Amro Najjar,Kary Fr?mling Confere [打印本頁] 作者: 助手 時(shí)間: 2025-3-21 19:27
書目名稱Explainable, Transparent Autonomous Agents and Multi-Agent Systems影響因子(影響力)
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書目名稱Explainable, Transparent Autonomous Agents and Multi-Agent Systems讀者反饋
書目名稱Explainable, Transparent Autonomous Agents and Multi-Agent Systems讀者反饋學(xué)科排名
作者: Acupressure 時(shí)間: 2025-3-21 22:09 作者: Ledger 時(shí)間: 2025-3-22 02:05 作者: EPT 時(shí)間: 2025-3-22 07:13
Handbook on Hyperbaric Medicineto have been launched as late as 2016. This is a problem with current XAI research because it tends to ignore existing knowledge and wisdom gathered over decades or even centuries by other relevant domains. This paper presents the notion of Contextual Importance and Utility (CIU), which is based on 作者: 摸索 時(shí)間: 2025-3-22 09:42 作者: multiply 時(shí)間: 2025-3-22 14:53
Janko Nikolich-?ugich,Anna LangI (XAI) literature aims to enhance human understanding and human-AI team performance by providing users with necessary information about AI system behavior. Simultaneously, the human factors literature has long addressed important considerations that contribute to human performance, including how to作者: multiply 時(shí)間: 2025-3-22 19:22
Nutrition of Aquatic Animals at a Glance,ly, people use these non-verbal cues subconsciously and, more importantly, are not aware of the subliminal impact of them. To raise awareness of subliminal persuasion and to explore a way for investigating persuasive cues for the development of persuasive robots and agents, we have analyzed videos o作者: 肉身 時(shí)間: 2025-3-22 22:15 作者: aquatic 時(shí)間: 2025-3-23 03:24
The Rise of the Knowledge Organizationnable artificial intelligence, and with it, research on explainable autonomous agents has gained increased attention from the research community. One important objective of research on explainable agents is the evaluation of explanation approaches in human-computer interaction studies. In this demon作者: WAG 時(shí)間: 2025-3-23 08:50
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/319310.jpg作者: 替代品 時(shí)間: 2025-3-23 11:17 作者: 革新 時(shí)間: 2025-3-23 15:49 作者: Enrage 時(shí)間: 2025-3-23 20:44
https://doi.org/10.1007/978-3-030-51924-7agent based; agent systems; artificial intelligence; autonomous agents; cognitive systems; communication 作者: 設(shè)施 時(shí)間: 2025-3-24 00:50
Nutrition of Aquatic Animals at a Glance,gation that highlight the most relevant image sections and markers. Our results show that the neural network learned to focus on the person, more specifically their posture and contours, as well as on their hands and face. These results are in line with existing literature and, thus, show the practical potential of our approach.作者: Palate 時(shí)間: 2025-3-24 03:10 作者: Minuet 時(shí)間: 2025-3-24 08:12 作者: FLACK 時(shí)間: 2025-3-24 12:17 作者: 民間傳說 時(shí)間: 2025-3-24 18:10
Agent-Based Explanations in AI: Towards an Abstract Frameworkrchangeably. Furthermore, despite the sound metaphors that Multi-Agent System (MAS) could easily provide to address such a challenge, and agent-oriented perspective on the topic is still missing. Thus, this paper proposes an abstract and formal framework for XAI-based MAS, reconciling notions, and results from the literature.作者: 切掉 時(shí)間: 2025-3-24 19:45 作者: 其他 時(shí)間: 2025-3-24 23:41 作者: Feedback 時(shí)間: 2025-3-25 04:25 作者: 發(fā)怨言 時(shí)間: 2025-3-25 11:21
David Chen,Bruno Vallespir,Guy Doumeingtsrchangeably. Furthermore, despite the sound metaphors that Multi-Agent System (MAS) could easily provide to address such a challenge, and agent-oriented perspective on the topic is still missing. Thus, this paper proposes an abstract and formal framework for XAI-based MAS, reconciling notions, and results from the literature.作者: jettison 時(shí)間: 2025-3-25 14:51
Janko Nikolich-?ugich,Anna Lang of explanations about AI system behavior. Our proposed levels of XAI are based on the informational needs of human users, which can be determined using the levels of situation awareness (SA) framework from the human factors literature. Based on our levels of XAI framework, we also propose a method for assessing the effectiveness of XAI systems.作者: 仲裁者 時(shí)間: 2025-3-25 17:38 作者: Antarctic 時(shí)間: 2025-3-25 20:11 作者: 寬度 時(shí)間: 2025-3-26 01:31
https://doi.org/10.1007/978-94-009-6816-5vide the agent with the cognitive process that is necessary for explainability. Furthermore, the knowledge gathered during the practical reasoning process allows EXPRI to engage in contrastive explanations.作者: Constrain 時(shí)間: 2025-3-26 08:15
Handbook on Hyperbaric Medicineknown notions and methods of Decision Theory. CIU extends the notions of importance and utility for the non-linear models of AI systems and notably those produced by Machine Learning methods. CIU provides a universal and model-agnostic foundation for XAI.作者: 咒語 時(shí)間: 2025-3-26 11:35
Handbook on Hyperbaric Medicine terms of the beliefs of agents and the mechanism by which agents revise their beliefs given possible explanations. We further identify a set of desiderata for explanations that utilize Theory of Mind. These desiderata inform our belief-based account of explanation.作者: Mosaic 時(shí)間: 2025-3-26 16:12 作者: 防水 時(shí)間: 2025-3-26 20:22
Decision Theory Meets Explainable AIknown notions and methods of Decision Theory. CIU extends the notions of importance and utility for the non-linear models of AI systems and notably those produced by Machine Learning methods. CIU provides a universal and model-agnostic foundation for XAI.作者: Expurgate 時(shí)間: 2025-3-26 22:19
Towards the Role of Theory of Mind in Explanation terms of the beliefs of agents and the mechanism by which agents revise their beliefs given possible explanations. We further identify a set of desiderata for explanations that utilize Theory of Mind. These desiderata inform our belief-based account of explanation.作者: 乞丐 時(shí)間: 2025-3-27 04:40 作者: 不容置疑 時(shí)間: 2025-3-27 09:12 作者: 中世紀(jì) 時(shí)間: 2025-3-27 10:23 作者: 泰然自若 時(shí)間: 2025-3-27 16:44
Decision Theory Meets Explainable AIto have been launched as late as 2016. This is a problem with current XAI research because it tends to ignore existing knowledge and wisdom gathered over decades or even centuries by other relevant domains. This paper presents the notion of Contextual Importance and Utility (CIU), which is based on 作者: 使糾纏 時(shí)間: 2025-3-27 20:29 作者: 不幸的人 時(shí)間: 2025-3-28 01:46 作者: OTTER 時(shí)間: 2025-3-28 05:36
Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markersly, people use these non-verbal cues subconsciously and, more importantly, are not aware of the subliminal impact of them. To raise awareness of subliminal persuasion and to explore a way for investigating persuasive cues for the development of persuasive robots and agents, we have analyzed videos o作者: CLOWN 時(shí)間: 2025-3-28 07:53 作者: facetious 時(shí)間: 2025-3-28 10:51
Explainable Agents as Static Web Pages: UAV Simulation Examplenable artificial intelligence, and with it, research on explainable autonomous agents has gained increased attention from the research community. One important objective of research on explainable agents is the evaluation of explanation approaches in human-computer interaction studies. In this demon作者: 輕推 時(shí)間: 2025-3-28 17:38
In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmapng exploitation of ML-based approaches generated opaque systems, which are nowadays no longer socially acceptable—calling for eXplainable AI (XAI). Such a problem is exacerbated when IS tend to approach safety-critical scenarios. This paper highlights the need for on-time explainability. In particul作者: 吞沒 時(shí)間: 2025-3-28 20:37 作者: 侵略者 時(shí)間: 2025-3-29 02:25 作者: Watemelon 時(shí)間: 2025-3-29 04:28
Valery M. Kaziev,Lyudmila V. Glukhova agents using two different algorithms which automatically generate different explanations for agent actions. Quantitative analysis of three user groups (n?=?20, 25, 20) in which users detect the bias in agents’ decisions for each explanation type for 15 test data cases is conducted for three differ作者: 尋找 時(shí)間: 2025-3-29 07:59
Explainable, Transparent Autonomous Agents and Multi-Agent SystemsSecond International作者: Customary 時(shí)間: 2025-3-29 13:28
