Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a novel method for the formation of fictional concepts based on the non-existence conjectures made by the HR automated theory formation system.  further introduce the notion of the typicality of an example with respect to a concept into HR, which leads to methods for ordering fictional concepts with respect to novelty, vagueness and stimulation. To test whether these measures are correlated with the way in which people similarly assess the value of fictional concepts,  ran an experiment to produce thousands of definitions of fictional animals.  then compared the software’s evaluations of the non-fictional concepts with those obtained through a survey consulting sixty people. The results show that two of the three measures have a correlation with human notions.  report on the experiment, and  compare our system with the ll established method of conceptual blending, which leads to a discussion of automated ideation in future Computational Creativity projects.
['Flaminia Cavallo', 'Alison Pease', 'Jeremy Gow', 'Simon Colton']
I am writing a research paper on a idea Using Theory Formation Techniques for the Invention of Fictional Concepts
[{"from": "human", "value": "I am writing a research paper on a idea Using Theory Formation Techniques for the Invention of Fictional Concepts"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a novel method for the formation of fictional concepts based on the non-existence conjectures made by the HR automated theory formation system.  further introduce the notion of the typicality of an example with respect to a concept into HR, which leads to methods for ordering fictional concepts with respect to novelty, vagueness and stimulation. To test whether these measures are correlated with the way in which people similarly assess the value of fictional concepts,  ran an experiment to produce thousands of definitions of fictional animals.  then compared the software\u2019s evaluations of the non-fictional concepts with those obtained through a survey consulting sixty people. The results show that two of the three measures have a correlation with human notions.  report on the experiment, and  compare our system with the ll established method of conceptual blending, which leads to a discussion of automated ideation in future Computational Creativity projects."}]