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An Adaptive Process Management System (APMS)
[chapter]
2001
Global Engineering, Manufacturing and Enterprise Networks
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Specific challenges include (i) the lack of theoretical foundations for enterprise integration and (ii) the absence of mechanisms for knowledge sharing and semantic interoperability. ...
(eds.), Global Engineering, Manufacturing and Enterprise Networks ...
and production planning, scheduling, workflow management, and so on. ...
doi:10.1007/978-0-387-35412-5_15
fatcat:v35nrg5bp5hlhkg5ka5ylryo4i
Special issue: abductive logic programming
2000
The Journal of Logic Programming
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In planning, the task of reaching ...
In a logical setting such a declarative representation would employ an alphabet of constants, functions and predicate symbols that naturally represent objects, functions and relationships between these ...
and scheduling. ...
doi:10.1016/s0743-1066(99)00078-3
fatcat:eazj3ukecrdephhdclbfaewwqe
Automating operating procedure synthesis for batch processes
1998
Computers and Chemical Engineering
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A hierarchical planning strategy is proposed that uses the declarative and procedural knowledge to generate the inferred knowledge incrementally, which leads to the synthesis of the operating procedures ...
We propose an approach based on Grafcet, a discrete event modeling concept, to represent procedural knowledge combined with an object-oriented representation of the declarative knowledge. ...
The knowledge representation strategies of the framework address issues involved in modeling three types of knowledge: declarative, procedural, and inferred knowledge. ...
doi:10.1016/s0098-1354(98)00228-2
fatcat:hnrw7ghwkrhurm7bgxhbspjo7u
ACLP: Integrating Abduction and Constraint Solving
[article]
2000
arXiv
pre-print
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It forms a general high-level knowledge representation environment for abductive problems in Artificial Intelligence and other areas. ...
It has been applied to the problems of planning and scheduling in order to test its computational effectiveness compared with the direct use of the (lower level) constraint solving framework of CLP on ...
Indeed, abduction allows a high-level representation of problems close to their natural specification suitable for addressing a variety of problems in AI, such as diagnosis, planning and scheduling, natural ...
arXiv:cs/0003020v2
fatcat:xf4k3n3xdzf25ijrkjbe66jtbu
A Context-based Approach to Robot-human Interaction
2015
Procedia Manufacturing
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The robot is scheduled to perform background tasks away from the astronauts, but must quickly adapt and not be underfoot as astronaut activities diverge from plan and encroach on the robot's space. ...
CARIL gives a robot a human-like representation of context and an ability to reason about context in order to adapt its behavior to that of the humans around it. ...
Acknowledgements This research was supported in part by Contract N00014-14-P-1186 from the Office of Naval Research for development of the NIM framework and computational implementation, and in part by ...
doi:10.1016/j.promfg.2015.07.171
fatcat:iycmcc7habbi7hwysgvrhydpqu
A RELATIONAL DATABASE APPROACH TO THE JOB SHOP SCHEDULING PROBLEM
2012
South African Journal of Industrial Engineering
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This paper will attempt to illuminate the advantages of an approach to the job shop scheduling problem using priority based search algorithms and database technology. ...
considerable subset of the -26-Hanufacturing systems, for example, require random access to data and only function well in an interactive and non-sequential mode. management systems and fourth used to ...
With a built-in inference mechanism all that remains for the user to do is to supply the system with facts (declarative knowledge) and rules (procedural knowledge). ...
doi:10.7166/2-1-451
fatcat:3etz52mswnhd3azrdhpxs63hv4
Page 61 of American Society of Civil Engineers. Collected Journals Vol. 8, Issue 1
[page]
1994
American Society of Civil Engineers. Collected Journals
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The dynamic sequencer utilizes the two primary types of knowledge: declarative and operational knowledge. ...
Also, the second phase performs schedule calculations based on the finalized project plan.
Phase 1 In the first phase, different kinds of rules are executed. ...
SUPPORTING CLINICAL PROCESSES AND DECISIONS BY HIERARCHICAL PLANNING AND SCHEDULING
2011
Computational intelligence
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The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representation and generating oncology treatment plans that have been proven to support clinical decisions ...
in the area of pediatrics oncology. ...
workflow patterns), but also declarative knowledge: the planning representation supports the declarative description of alternative courses of actions and different subgoaling strategies (both supported ...
doi:10.1111/j.1467-8640.2010.00374.x
fatcat:34ftaoymgzaujch5bdj2miwuyu
Page 691 of The Journal of the Operational Research Society Vol. 49, Issue 7
[page]
1998
The Journal of the Operational Research Society
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In comparison to the more knowledge based approaches adopted in constraint directed scheduling, the CLP languages offer a more systematic, and better founded approach to the solution of scheduling problems ...
Uckun et al'*° compare three representations at decreasing levels of abstraction: (i) a chromosome represents a queue of the orders, (ii) queue of orders and the process plan for each order, and (iii) ...
Automated planning and scheduling for goal-based autonomous spacecraft
1998
IEEE Intelligent Systems and their Applications
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UTOMATED PLANNING AND scheduling technology-we'll call it automated planning systems, for the sake of brevity-is applicable to a wide spectrum of spaceflight missions, from those with limited onboard computational ...
Routine use of automated planning systems for both ground and onboard operations can greatly benefit spacecraft missions in several ways. Reduced costs. ...
Acknowledgments Portions ofthis research were carried out by the Jet Propulsion Laboratory under a contract with the National Aeronautics and Space Administration. ...
doi:10.1109/5254.722362
fatcat:vwexwl4rznf2nfgh2lguodgzba
Clinical decision support systems
[chapter]
2003
Guide to Health Informatics, 2Ed
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The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representation and generating oncology treatment plans that have been proven to support clinical decisions ...
in the area of pediatrics oncology. ...
workflow patterns), but also declarative knowledge: the planning representation supports the declarative description of alternative courses of actions and different subgoaling strategies (both supported ...
doi:10.1201/b13618-34
fatcat:yfm5clwyfbfttcheuts2qebkna
3.5 Clinical Decision Support Systems
[chapter]
2012
Arzneimitteltherapie
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The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representation and generating oncology treatment plans that have been proven to support clinical decisions ...
in the area of pediatrics oncology. ...
workflow patterns), but also declarative knowledge: the planning representation supports the declarative description of alternative courses of actions and different subgoaling strategies (both supported ...
doi:10.1055/b-0034-38941
fatcat:ee3cy6srrja2bovdewr3cyc7dq
Clinical Decision Support Systems
[chapter]
2013
Encyclopedia of Systems Biology
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The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representation and generating oncology treatment plans that have been proven to support clinical decisions ...
in the area of pediatrics oncology. ...
workflow patterns), but also declarative knowledge: the planning representation supports the declarative description of alternative courses of actions and different subgoaling strategies (both supported ...
doi:10.1007/978-1-4419-9863-7_100215
fatcat:vjrmncjaqfanvpx3n3caesxzau
Knowledge-based approaches for scheduling problems: a survey
1991
IEEE Transactions on Knowledge and Data Engineering
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Section IV attempts to consolidate the AI approaches to knowledge representation and problem solving in the project management context. PLANNING AND SCHEDULING PROBLEMS: A TAXONOMY Manuscript ...
Finally, we consolidate the AI approaches to knowledge representation and problem solving in the project management context. ...
Table I1 classifies the various types of knowledge that may appear in an intelligent scheduling system in a way that suggests a procedural, declarative, or object-oriented implementation. ...
doi:10.1109/69.87996
fatcat:7ivyxepuefh2rf2im5vjdzjfa4
Preface to special issue on Knowledge Engineering for Planning and Scheduling
2013
Knowledge engineering review (Print)
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Interest in knowledge engineering (KE) for P&S therefore has grown in recent years, and is concentrated on the formulation of application knowledge bases and the fusion of them with planning engines to ...
The main focus of Planning and Scheduling (P&S) research is centred around the construction of solver engines, which accept a domain (and task) model as input, and output solutions to P&S problems. ...
and Scheduling (ICKEPS)), held during ICAPS, the International Conference on Automated Planning and Scheduling at Thessaloniki, Greece in September 2009. ...
doi:10.1017/s0269888912000379
fatcat:yfm7hioqozhl5bd7cru5334jii
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