Computer Aided Innovation
Publication Date: 2015-Dec-23
The IP.com Prior Art Database
Cognitive computing systems are continuously entering new domains of cognition and target new applications. Yet, the most unique attributes of human cognition, Creativity and Invention, remain out of products scope. Existing approaches for efficiency improvement of invention process, such as Systematic Innovation, are mostly manual and based on predefined principles. In this disclosure we propose automation technologies that will boost the human creativity process. We propose to leverage system modeling technologies and cognitive computing to increase innovation efficiency through sharing, analysis and learning of problems and inventive/creative solutions. This will be done by automated analysis and comparison of a given problem to a database of modeled problems and solutions across multiple domains and industries.
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Computer Aided Innovation
The advance of computer systems and the current focus on Cognitive Computing lead to development of technologies and solutions in various fields of cognition - such as learning,
judgment and perception. However, the important cognition domains of innovation and creativity are not covered by current solutions. This invention aims leveraging the computing systems to aid in human innovation and creativity processes. Some techniques, such as systematic innovation (SI) are currently used for improving the effectiveness of innovation process. These methods are based on structured and algorithmic approach and application of generic inventive principles across various domains. However, most of these methods are applied manually and highly depend on the intuition, multi-disciplinary background, and experience of the user.
We propose to use system modeling technologies and cognitive computing to increase innovation efficiency through sharing, analysis and learning of problems and inventive solutions. This will be done based on automated analysis and comparison of given problem to a database of modeled problems and solutions across multiple domains and industries. The proposed approach will allow using both standard and custom inventive principles, as well as automatically identify new patterns based on accumulated data analysis.
PRIOR ART / RELATED ART
S. Husig, S. Kohn, "
Computer Aided Innovation - State of the Art from a New Product Development Perspective", Computers in Industry, vol. 60, pp. 551- 562, 2009.
Describes a wide scope of CAI that spans from project management and business intelligence, through patent administration and analysis, to idea management. We are targeting the most challenging area of automating the idea generation, where few tools exist.
TRIZ - Theory of Inventive Problem solving
TRIZ is the most common Systematic Innovation technique. The functional modeling and inventive principles are example of algorithmic approach to innovation. Based on predefined principles from a
TRIZ wiki TRIZ 40 principles
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manual study of multiple patents and is manually applied.
Cross-domain inspired solutions
Biomimicry catalog of nature's solutions that can inspire human design solutions.
Innovation Benchmark, GoldFire
Innovation Benchmark Goldfire
Visualization of functional analysis, semantic search in scientific publications and patents databases.
Shaughnessy, " What Makes Samsung Such An Innovative Company?", Forbes, July 2013
Systematic innovation techniques are extensively used in Samsung and other companies. The usage is mostly manual.
The proposed solution will leverage the wide knowledge accumulated from various sources and domains, and boost the creativity by guiding the users towards analogous problems and solutions
. The overall approach will...