標(biāo)題: Titlebook: Autonomous Agents and Multiagent Systems. Best and Visionary Papers; AAMAS 2023 Workshops Francesco Amigoni,Arunesh Sinha Conference procee [打印本頁] 作者: 分期 時(shí)間: 2025-3-21 17:00
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書目名稱Autonomous Agents and Multiagent Systems. Best and Visionary Papers影響因子(影響力)學(xué)科排名
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書目名稱Autonomous Agents and Multiagent Systems. Best and Visionary Papers網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Autonomous Agents and Multiagent Systems. Best and Visionary Papers被引頻次學(xué)科排名
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書目名稱Autonomous Agents and Multiagent Systems. Best and Visionary Papers年度引用學(xué)科排名
書目名稱Autonomous Agents and Multiagent Systems. Best and Visionary Papers讀者反饋
書目名稱Autonomous Agents and Multiagent Systems. Best and Visionary Papers讀者反饋學(xué)科排名
作者: impaction 時(shí)間: 2025-3-22 00:07
The Value of?Knowledge: Joining Reward and?Epistemic Certainty Optimisation for?Anxiety-Sensitive Pl, concentrating on expected values and disregarding the degree of exposure to uncertainty. This paper introduces a formalism derived from Partially Observable Markov Decision Processes (POMDPs) to give the first model based on cognitive psychology of the anxiety induced by epistemic uncertainty (i.e作者: 條街道往前推 時(shí)間: 2025-3-22 03:03 作者: 搏斗 時(shí)間: 2025-3-22 06:19
Discrete-Choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for?Smart Citieo targets. Decentralized multi-agent methods for socio-technical optimization of large-scale complex infrastructures such as energy and transport networks are scalable and more privacy-preserving by design. However, they mainly focus on satisfying soft constraints to remain cost-effective. This pape作者: achlorhydria 時(shí)間: 2025-3-22 12:42 作者: 瑣事 時(shí)間: 2025-3-22 12:56 作者: Neonatal 時(shí)間: 2025-3-22 21:05
Discovery and?Analysis of?Rare High-Impact Failure Modes Using Adversarial RL-Informed Samplingcan be difficult to verify that these learning agents do not have critical failure modes. Standard verification and validation methods often do not apply directly to learning agents and Monte Carlo methods have difficulty covering even a small fraction of the state space, especially in multiagent sy作者: indecipherable 時(shí)間: 2025-3-23 01:08
Anxiety Among Migrants - Questions for?Agent Simulation(and very incomplete) review of emotion modelling in literature. It asks the question of how to translate these into agent-based modelling, and whether this can be orthogonal to . modelling of goals and capabilities of agents. This short paper is offered as a motivator for discussion, rather than a 作者: 貧窮地活 時(shí)間: 2025-3-23 04:36 作者: 館長(zhǎng) 時(shí)間: 2025-3-23 08:49 作者: CRAB 時(shí)間: 2025-3-23 13:39
Novelty Accommodating Multi-agent Planning in?High Fidelity Simulated Open Worldnexpected phenomenon that can alter the core characteristics, composition, and dynamics of the environment. Novelty can occur at any time in any sufficiently complex environment without any prior notice or explanation. Previous studies show that novelty has catastrophic impact on agent performance. 作者: Suggestions 時(shí)間: 2025-3-23 16:34
Towards Reducing School Segregation by?Intervening on?Transportation Networkss, especially in context of free school choice modes. Studies have shown that parents consider both distance and demographic composition when selecting schools for their children, potentially exacerbating levels of residential segregation. This raises the question of how intervening on transit netwo作者: 截?cái)?nbsp; 時(shí)間: 2025-3-23 20:36
https://doi.org/10.1007/978-3-031-56255-6artificial intelligence; autonomous agents; autonomous robots; cognitive systems; computer-aided design 作者: 美色花錢 時(shí)間: 2025-3-23 23:14 作者: nettle 時(shí)間: 2025-3-24 04:10 作者: 直覺好 時(shí)間: 2025-3-24 08:13 作者: Rct393 時(shí)間: 2025-3-24 14:12
Autonomous Agents and Multiagent Systems. Best and Visionary Papers978-3-031-56255-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: GREG 時(shí)間: 2025-3-24 15:57 作者: 一瞥 時(shí)間: 2025-3-24 20:24 作者: 母豬 時(shí)間: 2025-3-25 01:02 作者: Legion 時(shí)間: 2025-3-25 05:20
Efficient Graph Matching for Video Indexing,encoding the structure of the sub-tasks. The proposed method helps deal with the non-Markovian nature of the rewards in partially observable environments and improves the interpretability of the learnt policies required to complete a cooperative task. The RMs associated with the sub-tasks are learnt作者: Devastate 時(shí)間: 2025-3-25 10:26 作者: Facet-Joints 時(shí)間: 2025-3-25 13:35
Graphs with Girth at Least Fivehile the computational social choice literature has extensively investigated voting rules, there is limited work that explicitly looks at the interplay of the deliberative process and voting. In this paper, we build a deliberation model using established models from the opinion-dynamics literature a作者: 進(jìn)取心 時(shí)間: 2025-3-25 18:11 作者: DEFT 時(shí)間: 2025-3-25 21:34
A First Glimpse of Total Colouringcan be difficult to verify that these learning agents do not have critical failure modes. Standard verification and validation methods often do not apply directly to learning agents and Monte Carlo methods have difficulty covering even a small fraction of the state space, especially in multiagent sy作者: legacy 時(shí)間: 2025-3-26 00:44
Graph Colouring and the Probabilistic Method(and very incomplete) review of emotion modelling in literature. It asks the question of how to translate these into agent-based modelling, and whether this can be orthogonal to . modelling of goals and capabilities of agents. This short paper is offered as a motivator for discussion, rather than a 作者: enflame 時(shí)間: 2025-3-26 05:51
Graph Colouring and the Probabilistic Methodly perceived in HCI design, as they can have serious ethical implications. However, AI deception might be beneficial in some situations. Previous research has shown that machines designed with some level of dishonesty can elicit increased cooperation with humans. This raises several questions: Are t作者: acetylcholine 時(shí)間: 2025-3-26 11:41
Data-Centric Systems and Applicationsraction from raw data with sophisticated symbolic inference mechanisms for reasoning about “high-level” concepts. It is important to also incorporate existing prior knowledge about a given problem domain, especially since modern machine learning frameworks are typically data-hungry. Recently the fie作者: 館長(zhǎng) 時(shí)間: 2025-3-26 14:55
https://doi.org/10.1007/978-981-16-2609-8nexpected phenomenon that can alter the core characteristics, composition, and dynamics of the environment. Novelty can occur at any time in any sufficiently complex environment without any prior notice or explanation. Previous studies show that novelty has catastrophic impact on agent performance. 作者: Proponent 時(shí)間: 2025-3-26 18:10
https://doi.org/10.1007/978-4-431-68114-4s, especially in context of free school choice modes. Studies have shown that parents consider both distance and demographic composition when selecting schools for their children, potentially exacerbating levels of residential segregation. This raises the question of how intervening on transit netwo作者: STYX 時(shí)間: 2025-3-26 22:17
Autonomous Agents and Multiagent Systems. Best and Visionary PapersAAMAS 2023 Workshops作者: MILK 時(shí)間: 2025-3-27 03:37
0302-9743 ce in Artificial Intelligence (RaD-AI).- Workshop on Neuro-symbolic AI for Agent and Multi-Agent Systems (NeSyMAS).- Workshop on Multiagent Sequential Decision Making under Uncertainty (MSDM).- Workshop on Citizen-Centric Multi-Agent Systems (C-MAS).?.978-3-031-56254-9978-3-031-56255-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: KEGEL 時(shí)間: 2025-3-27 07:54 作者: cluster 時(shí)間: 2025-3-27 12:54 作者: Semblance 時(shí)間: 2025-3-27 16:09
Graph Colouring and the Probabilistic Methodstudy by proposing ways forward to achieve a framework for developing Deceptive AI responsibly. We provide insights and lessons that will be crucial in understanding what factors shape the social attitudes and adoption of AI systems that may be required to exhibit dishonest behaviour as part of thei作者: Obverse 時(shí)間: 2025-3-27 20:22
Data-Centric Systems and Applicationst agents. This article is a collection of ideas, opinions, and positions from computer scientists who were invited for a panel discussion at the workshop..This collection is not meant to be comprehensive but is rather intended to stimulate further conversation on the field of “Neuro-Symbolic Multi-A作者: 歪曲道理 時(shí)間: 2025-3-28 00:15 作者: FLUSH 時(shí)間: 2025-3-28 03:19 作者: REP 時(shí)間: 2025-3-28 09:50 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-28 11:41 作者: analogous 時(shí)間: 2025-3-28 16:41
Neuro-Symbolic AI + Agent Systems: A First Reflection on?Trends, Opportunities and?Challengest agents. This article is a collection of ideas, opinions, and positions from computer scientists who were invited for a panel discussion at the workshop..This collection is not meant to be comprehensive but is rather intended to stimulate further conversation on the field of “Neuro-Symbolic Multi-A作者: preservative 時(shí)間: 2025-3-28 21:46
Novelty Accommodating Multi-agent Planning in?High Fidelity Simulated Open World’s impact. In this work, we demonstrate that a domain-independent AI agent designed to detect, characterize, and accommodate novelty in smaller-scope physics-based games such as Angry Birds and Cartpole can be adapted to successfully perform and reason with novelty in realistic high-fidelity simulat作者: 失望昨天 時(shí)間: 2025-3-29 00:20 作者: PURG 時(shí)間: 2025-3-29 03:51
Efficient Graph Matching for Video Indexing,be adapted to tackle it. Our algorithmic innovations notably include a state-augmented DQN-based method for learning stochastic policies, which also applies to the usual fair optimization setting without any preferential treatment. We empirically validate our propositions and analyze the experimental results on several application domains.作者: ICLE 時(shí)間: 2025-3-29 07:56
Efficient Graph Matching for Video Indexing, cooperative multi-agent problem is reduced, allowing for more effective learning. The results suggest that our approach is a promising direction for future research in cooperative MARL, especially in complex and partially observable environments.作者: 白楊魚 時(shí)間: 2025-3-29 12:21
Graph Colouring and the Probabilistic Methodes in the BT. Importantly, any successful trace induced by the planners satisfies the corresponding . formula. The usefulness of the approach is demonstrated in two ways: a) exploring the alignment between two planners and . goals, and b) solving a sequential . problem for a . robot.作者: Noctambulant 時(shí)間: 2025-3-29 15:36
Learning Reward Machines in?Cooperative Multi-agent Tasks cooperative multi-agent problem is reduced, allowing for more effective learning. The results suggest that our approach is a promising direction for future research in cooperative MARL, especially in complex and partially observable environments.作者: EVEN 時(shí)間: 2025-3-29 21:22
Plan Generation via?Behavior Trees Obtained from?Goal-Oriented LTLf Formulases in the BT. Importantly, any successful trace induced by the planners satisfies the corresponding . formula. The usefulness of the approach is demonstrated in two ways: a) exploring the alignment between two planners and . goals, and b) solving a sequential . problem for a . robot.作者: 一罵死割除 時(shí)間: 2025-3-30 03:15 作者: TRUST 時(shí)間: 2025-3-30 04:56
0302-9743 stems, AAMAS 2023, held in London, UK, during May 29–June 2, 2023..The 12 regular papers, 5 best papers and 7 visionary papers, presented were carefully reviewed and selected from a total of more than 110 contributions to the workshops. They focus on emerging topics and new trends in the area of aut作者: Terrace 時(shí)間: 2025-3-30 09:51 作者: 煩人 時(shí)間: 2025-3-30 12:41 作者: daredevil 時(shí)間: 2025-3-30 16:48
https://doi.org/10.1007/978-4-431-68114-4ess to schools via transport network interventions can lead to a reduction in school segregation over time. The mathematical framework we propose provides the basis to simulate, in the future, how the dynamics of citizens preferences, school capacity and public transportation availability might contribute to patterns of residential segregation.
