作者: brachial-plexus 時(shí)間: 2025-3-21 22:31 作者: 懶惰人民 時(shí)間: 2025-3-22 03:05 作者: 煩憂 時(shí)間: 2025-3-22 06:28 作者: 學(xué)術(shù)討論會(huì) 時(shí)間: 2025-3-22 10:12 作者: 不能約 時(shí)間: 2025-3-22 13:24
Midwives, Research and Childbirthable of negotiating among themselves via the contract net protocol. The scalability of the integrated MAS architecture is tested in the first experiments simulating the behavior of a fleet of autonomous e-trikes.作者: 不能約 時(shí)間: 2025-3-22 17:59
Midwives, Research and Childbirthxplaining multi-component autonomous systems; (3) identifies integration issues that need to be addressed to make this vision a reality;?and (4) poses a number of research challenges and questions that need to be addressed.作者: 阻撓 時(shí)間: 2025-3-22 23:34 作者: SIT 時(shí)間: 2025-3-23 02:00 作者: Blood-Vessels 時(shí)間: 2025-3-23 08:14
Towards Engineering Explainable Autonomous Systems,xplaining multi-component autonomous systems; (3) identifies integration issues that need to be addressed to make this vision a reality;?and (4) poses a number of research challenges and questions that need to be addressed.作者: JEER 時(shí)間: 2025-3-23 13:06 作者: Ordnance 時(shí)間: 2025-3-23 14:48 作者: GEN 時(shí)間: 2025-3-23 20:40 作者: 金桌活畫面 時(shí)間: 2025-3-24 02:15 作者: 馬賽克 時(shí)間: 2025-3-24 05:07
Conference proceedings 2024 of 18?submissions.?These papers focus on topics such as agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning..作者: 過(guò)份艷麗 時(shí)間: 2025-3-24 07:28 作者: 鉆孔 時(shí)間: 2025-3-24 13:55
,SPARKIT: A Mind Map-Based MAS for?Idea Generation Support,promising approach for idea generation, yet fostering creative discussions remains a challenge. This paper proposes Synergistic Platform for Advancing and Reinforcing Knowledge through Interactive Tools (SPARKIT) and SPARK-flow leveraging mind maps to facilitate idea generation within a MAS framewor作者: Tinea-Capitis 時(shí)間: 2025-3-24 16:43
,Cooperative Multi-agent Approach for?Automated Computer Game Testing,wn to finding the right sequence of interactions given an abstract description of the scenario. Recent works have shown that an agent-based approach works well for the purpose, e.g. due to agents’ reactivity, hence enabling a test agent to immediately react to game events and changing state. Many ga作者: aplomb 時(shí)間: 2025-3-24 19:34 作者: 不要不誠(chéng)實(shí) 時(shí)間: 2025-3-25 01:47
SADMA: Scalable Asynchronous Distributed Multi-agent Reinforcement Learning Training Framework, (MAS) while facing the challenge of increasing computational cost and training time. MARL algorithms often require sufficient environment exploration to achieve good performance, especially for complex environments, where the interaction frequency and synchronous training scheme can severely limit 作者: accordance 時(shí)間: 2025-3-25 04:28
Synergizing Trust and Autonomy: Gaia-X Enabled Multi-Agent Ecosystems for Advanced Freight Fleet Mand trust management. Focusing on a subsystem of delivery agents and autonomous robots, this study exemplarily illustrates how Gaia-X can be integrated in existing ecosystems consisting of software agents and appertaining services and assets. By utilizing Organizational Credential Managers (OCMs), me作者: 大方一點(diǎn) 時(shí)間: 2025-3-25 08:01 作者: 使服水土 時(shí)間: 2025-3-25 15:15
,A Novel Bidding Strategy for?PDAs Using MCTS in?Continuous Action Spaces, to decide the bids. Monte-Carlo Tree Search (MCTS), which is a state-of-the-art online planning algorithm for tackling sequential problems, seems a perfect fit for bidding in PDAs. However, the success stories of MCTS are largely limited to discrete action spaces, and its efficacy diminishes when d作者: consent 時(shí)間: 2025-3-25 18:22
,Jadex BDI Agents Integrated with?MATSim for?Autonomous Mobility on?Demand,) such as simulation platforms in an integrated Multi-Agent System (MAS). We introduce a new version of the ABM-Jadex layer, which allows attaching BDI Agents developed with Jadex, an Agent Development Framework, to the MATSim traffic simulation environment. We introduce cognitive vehicle agents cap作者: 弄皺 時(shí)間: 2025-3-25 21:19 作者: 使痛苦 時(shí)間: 2025-3-26 00:24
,Enhancing Confidence of?the?, Interpreter Using SAT Solving,the correctness of agent programs, their application for verifying the implementation correctness of interpreters remains infrequent. To formally specify and verify autonomous decision-making, we proposed . and implemented its interpreter. The implementation correctness of the . interpreter is cruci作者: 通情達(dá)理 時(shí)間: 2025-3-26 06:50 作者: Notify 時(shí)間: 2025-3-26 08:56
978-3-031-71151-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 哺乳動(dòng)物 時(shí)間: 2025-3-26 15:46
Engineering Multi-Agent Systems978-3-031-71152-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Prologue 時(shí)間: 2025-3-26 17:01 作者: 高調(diào) 時(shí)間: 2025-3-26 23:00 作者: Nefarious 時(shí)間: 2025-3-27 01:37
https://doi.org/10.1007/978-1-4614-1007-2wn to finding the right sequence of interactions given an abstract description of the scenario. Recent works have shown that an agent-based approach works well for the purpose, e.g. due to agents’ reactivity, hence enabling a test agent to immediately react to game events and changing state. Many ga作者: TRAWL 時(shí)間: 2025-3-27 08:56 作者: HACK 時(shí)間: 2025-3-27 11:37 作者: HAUNT 時(shí)間: 2025-3-27 16:19 作者: 流眼淚 時(shí)間: 2025-3-27 18:54
Ann Luce,Vanora Hundley,Edwin van Teijlingenuasive multimodal interaction. Cognitive planning is the kind of planning aimed at finding and then executing an informative plan with the goal of influencing the cognitive state or the behavior of the interlocutor. We show how the integration of elements from the motivational interviewing (MI) meth作者: 除草劑 時(shí)間: 2025-3-28 00:25 作者: lipids 時(shí)間: 2025-3-28 03:38 作者: 起來(lái)了 時(shí)間: 2025-3-28 06:50
Midwives, Research and Childbirthion of single system components, such as a machine learning algorithm or decision-making module. This paper: (1) argues that we need to develop ways to engineer explainable systems consisting of multiple components, and identifies this as a challenge for the community; (2) proposes an approach for e作者: Lipohypertrophy 時(shí)間: 2025-3-28 10:38
https://doi.org/10.1007/978-3-658-24016-5the correctness of agent programs, their application for verifying the implementation correctness of interpreters remains infrequent. To formally specify and verify autonomous decision-making, we proposed . and implemented its interpreter. The implementation correctness of the . interpreter is cruci作者: palette 時(shí)間: 2025-3-28 15:53
https://doi.org/10.1057/9780230512573mplexity at the heart of software”, to quote one of its main mottos. In this paper, we are interested in exploring the bi-directional conceptual interaction between DDD and Agent-Oriented Software Engineering (AOSE)—and the synergies stemming from their fruitful integration.作者: Gerontology 時(shí)間: 2025-3-28 21:31
https://doi.org/10.1007/978-3-031-71152-7engineering autonomous systems; multi-agent systems; belief-desire-intention agents; agent design; agent作者: Cultivate 時(shí)間: 2025-3-29 01:34 作者: 個(gè)人長(zhǎng)篇演說(shuō) 時(shí)間: 2025-3-29 04:22
,Agents for?DDD – Back and?Forth,mplexity at the heart of software”, to quote one of its main mottos. In this paper, we are interested in exploring the bi-directional conceptual interaction between DDD and Agent-Oriented Software Engineering (AOSE)—and the synergies stemming from their fruitful integration.作者: connoisseur 時(shí)間: 2025-3-29 10:16
