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Related Experiment Video

Updated: Mar 22, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Automated Fictional Ideation via Knowledge Base Manipulation.

Maria Teresa Llano¹, Simon Colton¹, Rose Hepworth¹

¹Department of Computing, Goldsmiths, University of London, London, UK.

Cognitive Computation

|April 26, 2016

Summary

This summary is machine-generated.

We developed an automated system for generating fictional ideas by manipulating knowledge bases. This computational creativity approach shows promise for creative content generation and evaluation.

Keywords:

Computational creativity Fictional ideation Knowledge bases

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Area of Science:

Computational creativity
Artificial intelligence
Knowledge representation

Background:

Fictional ideation is crucial for creative production but understudied in computational creativity.
Existing methods lack robust approaches for automated fictional idea generation.

Purpose of the Study:

To present a general framework for automated fictional ideation using knowledge base manipulation.
To instantiate and evaluate this framework using common sense knowledge.

Main Methods:

Developing constructions to alter and combine facts from knowledge bases for fiction generation.
Utilizing ConceptNet, a common sense knowledge database, for instantiation.
Performing curation analysis and crowd-sourcing experiments for evaluation.

Main Results:

A positive correlation was found between participant rankings and a chaining inference technique for assessing fiction value.
The approach successfully generates fictional ideas with evaluative capacity.

Conclusions:

The proposed method provides a solid foundation for automated fictional ideation.
This work opens new avenues for computational creativity research in generating and evaluating novel concepts.