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Engineering Knowledge for Automated Planning

Thomas L. McCluskey, Tiago S. Vaquero, Mauro Vallati
2017 Proceedings of the Knowledge Capture Conference on - K-CAP 2017  
of planning knowledge, and to advance toward a shared and inclusive definition of quality of domain models.  ...  On top of that, a notion of quality of the knowledge captured within a domain model is missing; it is therefore hard to provide useful guidelines to knowledge engineers.  ...  of planning domain models, and to advance towards a shared and inclusive definition of quality of domain models.  ... 
doi:10.1145/3148011.3148012 dblp:conf/kcap/McCluskeyVV17 fatcat:wcywp7bkxbey3pyip43mlrxqsq

Automating statistics management for query optimizers

S. Chaudhuri, V. Narasayya
2001 IEEE Transactions on Knowledge and Data Engineering  
Statistics play a key role in influencing the quality of plans chosen by a database query optimizer. In this paper, we identify the statistics that are essential for an optimizer.  ...  We introduce novel techniques that help significantly reduce the set of statistics that need to be created without sacrificing the quality of query plans generated.  ...  Acknowledgements We thank Atul Adya, Sanjay Agrawal, Luis Gravano and the anonymous referees for their valuable feedback.  ... 
doi:10.1109/69.908978 fatcat:w3px2ow7kvf6nn6ziq3dgo3i5y

Developing Dependability Requirements Engineering for Secure and Safe Information Systems with Knowledge Acquisition for Automated Specification

Mohammed Abu Lamddi
2017 Journal of Software Engineering and Applications  
Furthermore, it demonstrates that it is possible to use goal-oriented KAOS (Knowledge Acquisition in automated Specification) language in threat and hazard analysis to cover both safety and security domains  ...  Because of our high dependency on technology in most, if not all, aspects of life, a system failure is considered to be very critical and might result in harming the surrounding environment or put human  ...  For security requirements analysis and elaboration by the use Goals KAOS element, the goal notion allows the expression of security requirements patterns in terms of anti-goals notion and vulnerabilities  ... 
doi:10.4236/jsea.2017.102013 fatcat:wo34bhez4jc3blgiomnaz5wh3i

Semantic Interpreter Pythia : GIS-based Expert Knowledge Algorithm for Automated Geotechnical Soil Profiling of Applicable Data

Maria Apostolos Papadopoulou
2018 Asian Journal of Engineering and Technology  
In general, it deduces a fact based on a known fact and established rules. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.  ...  It basically includes an inference engine and a knowledge base. It may collaborate with a detecting system. Most often it is used for giving explanations or drawing inferences or debugging problems.  ...  Although geotechnical databases form a powerful tool for any engineering study and well-planned geotechnical investigation, geotechnical databases have not been developed for a great percentage of European  ... 
doi:10.24203/ajet.v6i6.5436 fatcat:vqewiqulnjfgbaifhlu5b7etku

Experimentation with local consensus ontologies with implications for automated service composition

A.B. Williams, A. Padmanabhan, M.B. Blake
2005 IEEE Transactions on Knowledge and Data Engineering  
Agent technologies represent a promising approach for the integration of interorganizational capabilities across distributed, networked environments.  ...  Moreover, in practice, agents may not have a common or global consensus ontology that will facilitate knowledge sharing and integration of functional capabilities.  ...  ACKNOWLEDGMENTS The comments of the anonymous reviewers have greatly enhanced the quality of this paper.  ... 
doi:10.1109/tkde.2005.109 fatcat:cgovhm6tbbhwfnibvswasstc2i

A knowledge-based prototyping environment for construction of scientific modeling software

Richard M. Keller, Michal Rimon, Aseem Das
1994 Automated Software Engineering : An International Journal  
Unfortunately, scientific models can be difficult and time-consuming to implement, and there is little software engineering support specifically available for constructing scientific models.  ...  The system uses its scientific domain knowledge to ensure that the model being built is consistent and coherent. The final product is an executable prototype of a scientific model.  ...  Finally, thoughtful and comprehensive comments by anonymous reviewers were of great assistance in improving this paper.  ... 
doi:10.1007/bf00871693 fatcat:wufhswxogjgmjilf64gordkroa

Planning in/for/with the Public

Ulf Strohmayer
2016 Urban Planning  
This commentary traces key issues attaching to the use of the word 'public' within planning practices and theories.  ...  It argues for an alternative, non-binary engagement with public practices that may profit from being cast in a Foucauldian language and epistemology.  ...  The idea, for instance, of positioning 'a public' antonymically towards some 'private' realm, practice or space is all but anathema for anyone working in academia, planning or civil society more generally  ... 
doi:10.17645/up.v1i1.599 fatcat:clnym66marbvzivcikviydgf64

Computer-Aided Process Planning for Machining [chapter]

Derek Yip-Hoi
2017 The Mechanical Systems Design Handbook  
This has been driven primarily by the need to automate the mapping of design information and intent from computer-aided design (CAD) systems to instructions for driving automated manufacturing equipment  ...  Finally, we briefly introduce a new area of research in CAPP, parallel machining.  ...  Manufacturing Automation As with design automation, trends in manufacturing automation are geared toward improving the speed, efficiency, predictability, reliability, and quality of manufacturing processes  ... 
doi:10.1201/9781420036749-2 fatcat:uetqq3lejrbpfp5g6vjpojhrlm

Planning with Preferences

Jorge A, Baier, Sheila A. McIlraith
2008 The AI Magazine  
Automated Planning is an old area of AI that focuses on the development of techniques for finding a plan that achieves a given goal from a given set of initial states as quickly as possible.  ...  On the other hand, we have seen the development of planning techniques that aim at finding high-quality plans quickly, exploiting some of the ideas developed for classical planning.  ...  To define the notion of a most-preferred plan, we use an ordering relation that specifies when a plan for a planning instance I is preferred to another.  ... 
doi:10.1609/aimag.v29i4.2204 fatcat:bwrjhfx6yvbxrdxwmuufec4zaa

Visualizations for an Explainable Planning Agent

Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Imposing transparency and explainability requirements on such agents is crucial for establishing human trust and common ground with an end-to-end automated planning system.  ...  Visualizing the agent's internal decision making processes is a crucial step towards achieving this.  ...  Acknowledgements A significant part of this work was initiated and completed while Tathagata Chakraborti was an intern at IBM's T. J. Watson Research Center during the summer of 2017.  ... 
doi:10.24963/ijcai.2018/849 dblp:conf/ijcai/ChakrabortiFTDS18 fatcat:2en3wd3hqrahpcu3sphfkihrei

D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning [article]

Tathagata Chakraborti, Yasaman Khazaeni
2020 arXiv   pre-print
processes using the power of AI planning.  ...  This paper builds upon recent work in the declarative design of dialogue agents and proposes an exciting new tool -- D3BA -- Declarative Design for Digital Business Automation, built to optimize business  ...  A special word of thanks to Christian Muise and the rest of the D3WA team (Muise et al. 2020) on whose work we built our D3BA extension.  ... 
arXiv:2001.02619v2 fatcat:qs6jpeasoja57icu6zw6qztdwi

A review of learning planning action models

Ankuj Arora, Humbert Fiorino, Damien Pellier, Marc Métivier, Sylvie Pesty
2018 Knowledge engineering review (Print)  
Automated planning has been a continuous field of study since the 1960s, since the notion of accomplishing a task using an ordered set of actions resonates with almost every known activity domain.  ...  This learning provides an opportunity for the evolution of the model toward a version more consistent and adapted to its environment, augmenting the probability of success of the plans.  ...  The necessity of fully automated planning can be debated in a two-fold fashion: -Is it rational to envision a fully automated learning-planning-execution system?  ... 
doi:10.1017/s0269888918000188 fatcat:yjwlfpz4efhnrbhxczr2mxh4km

Conclusions and Recommendations [chapter]

2011 Corporate Loss Utilisation through Aggressive Tax Planning  
A special thanks to Professor Chris Hendrickson, Carnegie Mellon University, Pittsburgh for providing valuable suggestions and comments.  ...  Acknowledgments The development of SEED is sponsored by Battelle Pacific Northwest Laboratory, the US Army Corps of Engineers Construction Research Laboratory (USACERL) and the Engineering Design Research  ...  . & Kumaran, A,. A knowledge acquisition tool for design engineering applications. Proc. 3rd Int.  ... 
doi:10.1787/9789264119222-11-en fatcat:u5r2chf5zvg5tbkzcn7ktsobhu

D.9.2: Definition of Communication Strategy & Plan (Version II)

Sophia Adam, Hatun Atasayar, Daniele Brevi, Carla Coppola, Dalila Coviello, Elena Krikigianni, Vasilis Sourlas
2020 Zenodo  
Project scope: The main objective of ICT4CART is to design, implement and test in real-life conditions a versatile ICT infrastructure that will enable the transition towards higher levels of automation  ...  Context: Connected and automated vehicles are a key focal point of ITS research.  ...  As a "living" document, this plan is subject to a further update in M30. Research provides a global forum for the discussion of effective solutions for ITS, to meet the needs of the world.  ... 
doi:10.5281/zenodo.6396854 fatcat:os56vaesrbhxhg2j2iaitgpt5q

Motion Planning [chapter]

Héctor González-Baños, Jean-Claude Latombe, David Hsu
2006 Automation and Control Engineering  
Often, the objective of motion planning is to change the state of the world by computing a sequence of admissible motions for the robot.  ...  For example, in the path planning problem, we compute a collision-free path for a robot to go from an initial position to a goal position among static obstacles.  ...  of path planning for a moving point.  ... 
doi:10.1201/9781420019445.ch10 fatcat:boqe74lg6fatpmvox6cuzfyswu
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