標(biāo)題: Titlebook: Knowledge Engineering Tools and Techniques for AI Planning; Mauro Vallati,Diane Kitchin Book 2020 Springer Nature Switzerland AG 2020 Arti [打印本頁] 作者: melancholy 時間: 2025-3-21 16:53
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作者: ascetic 時間: 2025-3-21 20:32
Automated Domain Model Learning Tools for Planning. The taxonomy and order of these methods we followed are based on their standing and frequency of usage in the past research. Our intended contribution in this chapter is to provide a broader perspective on the range of techniques in the domain model learning area which underpin the developmental decisions of the learning tools.作者: cocoon 時間: 2025-3-22 02:14
Interactive Visualization in Planning and Schedulingveral tools supporting the planning process have been designed. This chapter focuses on interactive visualization of plans and schedules, that is, on the way how plans and schedules can be presented visually to users, and on tools that can work with these visualizations.作者: Anticoagulants 時間: 2025-3-22 07:39
MyPDDL: Tools for Efficiently Creating PDDL Domains and Problemsof syntax highlighting detected 36% more errors than non-users in an erroneous domain file. The average time on task for questions on a PDDL type hierarchy was reduced by 48% when making the type diagram generator available. This implies that myPDDL can support knowledge engineers well in the PDDL design and analysis process.作者: 影響 時間: 2025-3-22 09:06
Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domainsected without changing context. The visualization tool explores two alternative visualizations aimed at illustrating the operation of the planning process and how the domain dynamics evolve during plan execution.作者: Communicate 時間: 2025-3-22 14:27 作者: overture 時間: 2025-3-22 19:04 作者: insurrection 時間: 2025-3-22 22:58
Modeling Planning Tasks: Representation Matters a given domain while a planning problem specifies concrete objects, an initial state, and a goal. Planning domain model together with planning problem description forms a planning task. Hence it is typical that one domain model can be used for a class of planning tasks.作者: coagulation 時間: 2025-3-23 04:24
Argument-Based Plan Explanationbe identified through dialogue, allowing the system to use such a dialogue to explain a plan. We provide information about our prototype system implementation, discussing its current limitations, and identifying potential avenues for future research.作者: Ingratiate 時間: 2025-3-23 06:16 作者: 羽飾 時間: 2025-3-23 13:03 作者: 束以馬具 時間: 2025-3-23 14:41 作者: infelicitous 時間: 2025-3-23 22:05 作者: mutineer 時間: 2025-3-24 00:41
Design of Timeline-Based Planning Systems for Safe Human-Robot Collaborationcerning the development of a task planning and execution technology and its integration with a state of the art Knowledge Engineering environment to deploy safe and effective solutions in realistic manufacturing HRC scenarios. We will briefly present and discuss a HRC use case to demonstrate the eff作者: Mundane 時間: 2025-3-24 04:46
Book 2020ation of knowledge..This booktargets researchers and professionals working in knowledge engineering, artificial intelligence and software?engineering. Advanced-level students studying AI will also be interested in this book..作者: surmount 時間: 2025-3-24 09:30 作者: 擁護(hù) 時間: 2025-3-24 11:59 作者: 優(yōu)雅 時間: 2025-3-24 14:54
ted tools and techniques to aid in the capture and representation of knowledge..This booktargets researchers and professionals working in knowledge engineering, artificial intelligence and software?engineering. Advanced-level students studying AI will also be interested in this book..978-3-030-38563-7978-3-030-38561-3作者: Prostaglandins 時間: 2025-3-24 22:38
Jose Reinaldo Silva,Javier Martinez Silva,Tiago Stegun Vaquero作者: Osteoporosis 時間: 2025-3-25 01:47
Shirin Sohrabi,Octavian Udrea,Anton Riabov,Oktie Hassanzadeh作者: calamity 時間: 2025-3-25 03:33
Maurício C. Magnaguagno,Ramon Fraga Pereira,Martin D. Móre,Felipe Meneguzzi作者: Magnitude 時間: 2025-3-25 07:33 作者: Esalate 時間: 2025-3-25 15:18 作者: BALE 時間: 2025-3-25 17:50
KEPS Book: Planning.DomainsIn this chapter we describe the main pillars of the Planning.Domains initiative (API, Solver, Editor, and Education), detail some of the current use-cases for them, and outline the future path of the initiative. We further dive into some of the most recent developments of Planning.Domains, and shed light on what is next for the platform.作者: 幸福愉悅感 時間: 2025-3-25 23:14 作者: 無法取消 時間: 2025-3-26 01:38
Mauro Vallati,Diane KitchinThere is no up-to-date book which covers this topic area, only a few scattered research/conference papers which address this topic.Chapters writen by International leaders from both industry and acade作者: 開頭 時間: 2025-3-26 05:35
http://image.papertrans.cn/k/image/543896.jpg作者: Interdict 時間: 2025-3-26 10:59
https://doi.org/10.1007/978-3-030-38561-3Artificial Intelligence; AI Planning & Scheduling; Model-Based Reasoning; Knowledge Engineering; Knowled作者: invert 時間: 2025-3-26 15:49 作者: 要塞 時間: 2025-3-26 20:47
Automated Domain Model Learning Tools for Planning by human experts or automatically learned through the observation of some existing plans (behaviours). Encoding a domain model manually from experience and intuition is a very complex and time-consuming task, even for domain experts. This chapter investigates various classical and state-of-the-art 作者: 物種起源 時間: 2025-3-27 00:54
Formal Knowledge Engineering for Planning: Pre and Post-Design Analysising is a promising technology for enabling intelligent behavior in complex autonomous systems. To use planning technology, however, one has to create a knowledge base from which the input to the planner will be derived. This process requires advanced knowledge engineering tools, dedicated to the acq作者: Cholagogue 時間: 2025-3-27 01:55 作者: 蚊帳 時間: 2025-3-27 07:59
Modeling Planning Tasks: Representation Matterse task description as an input and generate plans (if they exist). A planning domain model gives general description of the environment and actions of a given domain while a planning problem specifies concrete objects, an initial state, and a goal. Planning domain model together with planning proble作者: 四溢 時間: 2025-3-27 10:26
An Interactive Tool for Plan Generation, Inspection, and Visualizationanning problems, which otherwise would require much greater human planning efforts or much more computational resources. In this approach to plan generation, it is important to have effective plan visualization capabilities, as well to support the user with some interactive capabilities for the huma作者: 脆弱帶來 時間: 2025-3-27 13:56
Interactive Visualization in Planning and Schedulinge activities to limited time and resources for execution (scheduling). However, regarding the tools supporting the planning and scheduling processes, these two areas are still far from each other. Progress in scheduling has been driven by industry and many techniques and tools to support the schedul作者: Root494 時間: 2025-3-27 19:33
Argument-Based Plan Explanationral language generation and visualisation technologies. We describe how arguments can be generated from domain rules, and how justified arguments can be identified through dialogue, allowing the system to use such a dialogue to explain a plan. We provide information about our prototype system implem作者: 保留 時間: 2025-3-27 23:14 作者: Fecundity 時間: 2025-3-28 06:03 作者: 鼓掌 時間: 2025-3-28 08:16 作者: 鬼魂 時間: 2025-3-28 14:06
Planning in a Real-World Application: An AUV Case Studystate to some required goal state. In a nutshell, automated planning is a tool for deliberative reasoning which intelligent entities can use to find strategies (plans) for achieving longer-term goals. There are many successful real-world applications ranging from space and planet observations, Urban作者: 使痛苦 時間: 2025-3-28 16:09
Knowledge Engineering and Planning for Social Human–Robot Interaction: A Case Studyrous other research areas within AI. One such area is interactive systems, where a fundamental component called the interaction manager selects actions in the context of conversing with humans using natural language. Although this has obvious parallels to automated planning, using a planner to addre作者: 側(cè)面左右 時間: 2025-3-28 19:40 作者: 大猩猩 時間: 2025-3-29 01:22
RMAN Restore and Recovery, only good if you can restore; hopefully it is not needed, but a restore process needs to be documented, tested, and practiced. Practicing allows for errors to occur and document strange things that can happen, so in the moment of panic and needing to complete the restore under pressure, the years o作者: 按等級 時間: 2025-3-29 03:30 作者: 規(guī)章 時間: 2025-3-29 07:14
2195-996X on uncertain decision-making.Identifies some efficient solutThe proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics and decision-making. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Opt作者: 類似思想 時間: 2025-3-29 14:36
Giles Greenway,Tobias Blanke,Mark Cote,Jennifer Pybusviduals. This novel algorithm was used to optimize the stacker picking path in an Automated Storage/Retrieve System (AS/RS) of a large airport. The simulation results indicates that the proposed algorithm reduces the computational complexity of time and space greatly, and meets the needs of practical engineering of AS/RS optimization control.作者: 使顯得不重要 時間: 2025-3-29 18:06
Transposable Elements , and ,gy, active DNA-based elements from medaka have also contributed to the development of tools for genetic manipulations, such as gene transfer, mutagenesis, gene tagging, and promoter/enhancer trapping. These tools are now used in a wide range of vertebrates, including humans, mice, and zebrafish.作者: Fresco 時間: 2025-3-29 22:02
Fundamentals of Logic and Computation treatment strategies for recurrent and metastatic disease remain a challenge. Tyrosine kinase inhibitors are the therapeutic agents currently used in patients with advanced, metastatic or rapidly progressive disease and result in stabilization of the disease in the majority of patients, especially 作者: 手勢 時間: 2025-3-30 03:52 作者: 外觀 時間: 2025-3-30 06:53
Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data Cloud directly. Our framework utilizes random linear classifiers (RLCs) as the base classifiers in the boosting framework to dramatically simplify the design of the proposed confidential protocols, yet still preserve the model quality. A Cryptographic Service Provider (CSP) is used to assist the Cl作者: 組裝 時間: 2025-3-30 09:15 作者: Hypopnea 時間: 2025-3-30 14:39
https://doi.org/10.1007/978-1-349-22357-2istische Beurteilung der oberirdischen Abflussverh?ltnisse erlauben. Sind keine Wassermengen-Messwerte vorhanden, wohl aber solche über die Niederschlagsmengen, kann für Vorstudien die mittlere j?hrliche Abflussmenge .. mit folgender Formel gesch?tzt werden.作者: condone 時間: 2025-3-30 18:22 作者: nautical 時間: 2025-3-30 22:39
r, they situate their work in present-day neoliberal policies that are pushing responsibility for economic and social welfare, as well as education policy and practice, out of federal and into more local entities. States, cities, and school boards are being given more responsibility and power in det
