The Computational Creativity Complex - Computational Creativity Research: Towards Creative Machines - page 73

Divine water with sirloin
Ingredients:
2.35 cups - water
2.07 cups - yellow onion
1.76 cups - black bean
1.43 cups - stewed tomato
10.71 ounces - steak
10.68 ounces - ground beef
0.72 cup - salsa
0.66 cup - chicken broth
...
Directions:
Combine ingredients and bring to boil.
Reduce heat and simmer until done, stirring
occasionally. Serve piping hot and enjoy.

WWW

Presentation

Evaluator

Chili con Carne
Ingredients:
2.35 cups - water
2.07 cups - yellow onion
1.76 cups - black bean
1.43 cups - stewed tomato
10.71 ounces - steak
10.68 ounces - ground beef
0.72 cup - salsa
0.66 cup - chicken broth
...
Directions:
Combine ingredients and bring to boil.
Reduce heat and simmer until done, stirring
occasionally. Serve piping hot and enjoy.

Inspiring Set

Generator

Fig. 4.5 High-level view of the system architecture. Inspiring set recipes are taken from online
sources and inform the evaluator and generator. Recipes are created through an iterative process
involving both generation and evaluation. Eventually, generated recipes with the highest evaluation
are fed to the presentation module for rendering and may be published online

we restrict our focus to recipes (specifically soups, stews, and chilis) that can be
cooked in a crockpot and thus require no special preparation instructions—crockpot
recipes simplify the cooking process to essentially determining a set of ingredients
(and their amounts) to be cooked together. Varshney et al. have recently presented a
system that uses a cognitive-based approach to produce additional types of recipes
that do require a nontrivial preparation component, but they have also avoided this
issue, by taking a similar simplifying approach—producing, instead of the complete
recipe, an interesting set of ingredients and leaving the preparation instructions to be
invented by a human collaborator [ 37 ].