Domain specific DSS tools for knowledge-based model building
Decision Support Systems
An entity-relationship approach to model management
Decision Support Systems
An introduction to structured modeling
Management Science
The formal aspects of structured modeling
Operations Research
A logic modeling language for automated model construction
Decision Support Systems
A model base for identifying mathematical programming structures
Decision Support Systems
Constraint-based metaview approach for modeling environment generation
Decision Support Systems
An object-oriented approach to model management
Decision Support Systems - Special issue on model management systems
Modeling by analogy: use of analogical reasoning in model management systems
Decision Support Systems - Special issue on model management systems
Analogical reasoning and case-based learning in model management systems
Decision Support Systems
Process-based reconstructive approach to model building
Decision Support Systems
Knowledge-assisted optimization model formulation: UNIK-OPT
Decision Support Systems
Logical representation of integer programming models
Decision Support Systems - Special double issue: unified programming
Decision Support Systems
Time-bound negotiation framework for electronic commerce agents
Decision Support Systems
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Case-based modification for optimization agents: AGENT-OPT
Decision Support Systems - Special issue: Knowledge management technique
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As third party logistic services become popular, the role of software agents increases in importance in terms of the logistics scheduling of buyers and sellers. To support many models in such a portal site focused on logistics, automatic formulation and modification of optimization models embedded in the multiple software agents is necessary. The stakeholders like manufacturers and third party deliverers have their objectives and constraints in terms of delivery requirements and resource limitations. Since a variety of situations require many combinations of models, it is not easy to prepare all the necessary models in advance. To resolve this issue, we propose the primitive model approach which identifies a base model first and then modifies it to meet the modeling requirements. A prototype architecture AGENT-OPT2 is designed with the capability of rule-based model modification. This framework is demonstrated with the cooperative delivery scheduling problems.