Creativity is a topic that has been examined from multiple cognitive science lenses. Cognitive psychology, for example, examines which cognitive processes and representations support creativity, with the aim of understanding human creativity. Computational creativity aims to build computational systems that exhibit creativity and ways of evaluating such systems. Cognitive robotics and artificial intelligence are interested in how creative processes can be used to build robots and AI systems that are more flexible in task execution. The field of design applies classical theories of creative problem solving, to solve ill structured problems.
This Research Topic aims to integrate these multidisciplinary threads through which creativity and creative problem solving have been approached in these various fields, and create a strong synergy to bootstrap our overall understanding of creativity. With this objective, we welcome contributions from researchers from various cognitive science fields in which creativity has been explored, including cognitive psychology, artificial intelligence, computational creativity, cognitive robotics, and design, on the following topics:
• Theoretical contributions to the field of creativity from any discipline.
• Descriptions of, and experimentation with, computationally creative systems.
• Empirical work on hypotheses related to the processes and types of knowledge representation underlying creativity, creative problem solving, and creative reasoning.
• Cognitive models of creative processes.
• Descriptions of and experimentation with creative artificial intelligence and creative cognitive robotics systems.
• Theoretical and/or computational frameworks for creativity, creative problem solving and creative reasoning.
• Reports on interdisciplinary approaches to creativity.
• Formal descriptions of approaches, systems, and mechanisms aimed at modelling or implementing creativity.
• Proposals for new methodology and new approaches, and formal descriptions to creativity.
Subtopics of interest will be related (but not limited) to:
• Creative cognition
• Problem solving
• Computational creativity
• Creativity in design
• Creative robotics
• Creative artificial intelligence
• Natural and artificial cognitive systems
• Computational models
• Computational creativity
• Cognitive modelling
• Creative reasoning
• Creative inference
• Inductive reasoning
• Deductive reasoning
• Case-based reasoning
• Image schemas
• Data mining, knowledge discovery
• Re-representation and restructuring
• Knowledge representation for creativity and problem-solving
• Evolutionary approaches, genetic algorithms
Creativity is a topic that has been examined from multiple cognitive science lenses. Cognitive psychology, for example, examines which cognitive processes and representations support creativity, with the aim of understanding human creativity. Computational creativity aims to build computational systems that exhibit creativity and ways of evaluating such systems. Cognitive robotics and artificial intelligence are interested in how creative processes can be used to build robots and AI systems that are more flexible in task execution. The field of design applies classical theories of creative problem solving, to solve ill structured problems.
This Research Topic aims to integrate these multidisciplinary threads through which creativity and creative problem solving have been approached in these various fields, and create a strong synergy to bootstrap our overall understanding of creativity. With this objective, we welcome contributions from researchers from various cognitive science fields in which creativity has been explored, including cognitive psychology, artificial intelligence, computational creativity, cognitive robotics, and design, on the following topics:
• Theoretical contributions to the field of creativity from any discipline.
• Descriptions of, and experimentation with, computationally creative systems.
• Empirical work on hypotheses related to the processes and types of knowledge representation underlying creativity, creative problem solving, and creative reasoning.
• Cognitive models of creative processes.
• Descriptions of and experimentation with creative artificial intelligence and creative cognitive robotics systems.
• Theoretical and/or computational frameworks for creativity, creative problem solving and creative reasoning.
• Reports on interdisciplinary approaches to creativity.
• Formal descriptions of approaches, systems, and mechanisms aimed at modelling or implementing creativity.
• Proposals for new methodology and new approaches, and formal descriptions to creativity.
Subtopics of interest will be related (but not limited) to:
• Creative cognition
• Problem solving
• Computational creativity
• Creativity in design
• Creative robotics
• Creative artificial intelligence
• Natural and artificial cognitive systems
• Computational models
• Computational creativity
• Cognitive modelling
• Creative reasoning
• Creative inference
• Inductive reasoning
• Deductive reasoning
• Case-based reasoning
• Image schemas
• Data mining, knowledge discovery
• Re-representation and restructuring
• Knowledge representation for creativity and problem-solving
• Evolutionary approaches, genetic algorithms
