J
J. Britanik
Researcher at University of Arizona
Publications - 12
Citations - 79
J. Britanik is an academic researcher from University of Arizona. The author has contributed to research in topics: Knowledge representation and reasoning & Knowledge sharing. The author has an hindex of 6, co-authored 12 publications receiving 79 citations.
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Journal ArticleDOI
Case-based process planning using an object-oriented model representation
Michael M. Marefat,J. Britanik +1 more
TL;DR: This system utilizes case-based techniques for process selection and sequencing to combine the advantages of the variant and generative approaches to process planning to become more effective and efficient.
Proceedings ArticleDOI
Case-based manufacturing process planning with integrated support for knowledge sharing
J. Britanik,Michael M. Marefat +1 more
TL;DR: This work presents a new case-based planning methodology that extends the capability and effectiveness of previous approaches by incorporating the ability to learn new domain knowledge from other planners via an integrated knowledge sharing mechanism.
Proceedings Article
Hierarchical plan merging with application to process planning
J. Britanik,Michael M. Marefat +1 more
TL;DR: A domain-independent systematic methodology for plan merging at the various levels of plan abstraction where each level contains a complete, partially merged plan and an algorithm is proposed which takes a bilateral approach to breaking cyclic dependencies between nodes in the hierarchical plan graph.
Journal ArticleDOI
Hierarchically merging plans in decomposable domains
J. Britanik,Michael M. Marefat +1 more
TL;DR: A plan merging methodology that merges partial-order plans based on the notion of plan fragments is developed, which applies to a class of planning domains which are decomposable and investigates the previously unexplored notion of alternative actions in domain-independent plan merging.
Journal ArticleDOI
CBPOP: A Domain‐Independent Multi‐Case Reuse Planner
J. Britanik,Michael M. Marefat +1 more
TL;DR: This paper presents the theory and implementation of CBPOP, and shows how it addresses the multi‐reuse planning problems, and presents novel approaches to retrieval and refitting.