A Culinary Computational Creativity System - Computational Creativity Research: Towards Creative Machines - page 336

fixed duration x i , the duration could be modeled as a stochastic quantity governed
by a probability measure X i (ˉ) . In such a model, it would be of interest to estimate

probability measures rather than merely scalar values.

16.7 Conclusion

In this chapter, we have described algorithms that form the foundation of a com-
putational creativity system that can automatically or semi-automatically discover,
design, and plan culinary recipes that are flavorful, novel, and perhaps also healthy.
We described an architecture for a computational creativity system in which to embed
these algorithms, comprising a designer, an assessor, and a planner, all fed by a
domain knowledge database.
Recipes created by the computational creativity system, such as a Caymanian
Plantain Dessert, have been rated as more creative than existing recipes in online
repositories by expert judges [ 35 ]. Moreover, professional chefs at various hotels,
restaurants, and culinary schools have indicated that the system helps them explore
new vistas in food. We foresee further innovations in the future that will continue to
enhance the functionality of our culinary computational creativity system.
Although we took a particular creative application domain—culinary recipe
design and planning —as an example, the system architecture, approaches and algo-
rithms developed in facing the challenges should be applicable across creative scien-
tific domains [ 8 ]. Indeed, culinary recipes, when viewed as being constructed from
their constituents into proportions and structured plans, may not be so different from
travel itineraries, feature sets for new products, or even business processes that are
characterized by components, combining rules, and plans.

Acknowledgments The authors thank the Institute of Culinary Education for their support assem-
bling the culinary knowledge database and testing the recipes produced by the system.

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