Exploration and Innovation in Design: Towards a Computational Model: Symbolic Computation
Autor D. Navinchandra Cuvânt înainte de Asko Riitahuhtaen Limba Engleză Paperback – 17 sep 2011
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Specificații
ISBN-13: 9781461278023
ISBN-10: 1461278023
Pagini: 212
Ilustrații: XI, 195 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:1991
Editura: Springer
Colecția Springer
Seriile Symbolic Computation, Artificial Intelligence
Locul publicării:New York, NY, United States
ISBN-10: 1461278023
Pagini: 212
Ilustrații: XI, 195 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:1991
Editura: Springer
Colecția Springer
Seriile Symbolic Computation, Artificial Intelligence
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1. Introduction and Overview.- Innovative Design.- The Thesis.- An Approach to Innovative Design.- Organization of the Book.- Summary.- 2. A Design Scenario.- The Problem.- Design Exploration.- Design Adaptation.- Assumptions of the Approach.- Summary.- 3. The Design Problem.- Design Representation.- Design as a Labeling Problem.- Representing a CLP in the Computer.- Optimization and the CLP.- Summary.- Conclusions.- 4. Design Synthesis.- Search as Enumeration.- The Example Problem Statement.- Searching for a Solution.- Looking for Optimal Consistent Labelings.- Summary.- Conclusion.- 5. Design Exploration.- A Scenario.- Exploration in Design: Some Intuitions.- The Landscape Example, Revisited.- Criteria Emergence.- Summary.- 6. Design Adaptation.- Background.- Example of Case Based Design Adaptation.- Details on Case Based Design Adaptation.- Notes on Demand Posting.- Summary.- 7. Putting It All Together: A Detailed Architecture of CYCLOPS.- Normal Search Mode.- Exploration Mode.- Adaptation Mode.- Operating CYCLOPS.- The Implementation.- 8. Relationship to Other Work.- Design as a Multi-Criteria Configuration Problem.- Design Exploration.- Design Adaptation.- Conclusions.- 9. Assumptions, Shortcomings, and Future Research.- Future Applications.- Contributions.- Epilogue.- Appendix A. The Consistent Labeling Optimization Problem.- Formulating the.- Consistent Labeling Optimization Problem.- Variables.- Values.- Constraints.- Objectives.- Solving CLPs with the Forward Checking Algorithm.- Searching the State Space.- Forward Checking and Search.- The Forward Checking Algorithm.- Solving the CLOP.- Representing Relaxable Constraints and Objectives.- Determining the Ranks for partial labelings.- An Admissible Algorithm for a CLOP.- Proof of Optimality of the CLOPS algorithm.- Conclusions.- Appendix B. A Trace of CYCLOPS in Action.- CYCLOPS Architecture.- An Example.- The problem statement.- Domain Knowledge-Base: The Precedents.- The run.- References.