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Engineering Knowledge for Automated Planning
2017
Proceedings of the Knowledge Capture Conference on - K-CAP 2017
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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
2001
IEEE Transactions on Knowledge and Data Engineering
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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
2017
Journal of Software Engineering and Applications
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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
2018
Asian Journal of Engineering and Technology
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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
2005
IEEE Transactions on Knowledge and Data Engineering
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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
1994
Automated Software Engineering : An International Journal
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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
2016
Urban Planning
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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]
2017
The Mechanical Systems Design Handbook
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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
2008
The AI Magazine
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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
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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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]
2020
arXiv
pre-print
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Other Versions
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
2018
Knowledge engineering review (Print)
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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
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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)
2020
Zenodo
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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]
2006
Automation and Control Engineering
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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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