Information Processing Device for Ecosystem Species Combination Design
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Solution Overview
Problem
Designing an ecosystem that effectively combines multiple biological species to enhance target ecosystem functions is challenging due to the need for extensive combination examination and the lack of tools capable of handling interactions among numerous species simultaneously.
Innovation Solution
An information processing device and method that constructs interaction networks for combinations of biological species, evaluating these networks to determine optimal presentations of species interactions, allowing for the selection of appropriate biological species combinations that enhance target ecosystem functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional companion plants method is applied to design ecosystems with several tens or more species, then partial appropriate combinations can be implemented, but it requires examining a huge number of combinations which is difficult for humans to perform directly
Solution Approach 1:
The patent segments the ecosystem design process into distinct functional modules: a database storing interaction information, an interaction network construction unit that builds networks from the data, an evaluation unit that assesses the networks, and a presentation combination decision unit that selects optimal combinations. This segmentation transforms the overwhelming holistic problem into manageable discrete tasks that can be automated and executed systematically.
Solution Approach 2:
The patent introduces an interaction network as an intermediary structure between the raw interaction data and the final ecosystem design. This network serves as a mediator that organizes complex species interactions into a structured format that can be evaluated and optimized, making the design process more tractable and systematic.
2Reliability
If comprehensive interaction information database is used to design ecosystems with wide variety of biological species, then appropriate interactions can be evaluated, but the database requires storing and processing enormous amounts of interaction data
Solution Approach 1:
The patent performs preliminary organization of interaction data by constructing interaction networks before evaluation. By pre-structuring the data into network formats with defined nodes and edges representing species and their interactions, the system prepares the information in an optimized state that reduces processing burden during the evaluation phase while maintaining comprehensive interaction information.
Solution Approach 2:
The patent transforms the raw interaction data into a network representation with specific parameters (nodes for species, edges for interactions, attributes for interaction types). This parameter transformation converts unstructured comprehensive data into a structured format that is more efficient for computation and evaluation, reducing the effective data volume while preserving all necessary interaction information.
3Productivity
If interaction networks are constructed for all possible combinations of biological species, then optimal species combinations can be identified, but the computational burden increases exponentially with the number of species
Solution Approach 1:
The patent implements a feedback mechanism where the evaluation unit assesses interaction networks and provides feedback to the presentation combination decision unit. This feedback loop allows the system to identify promising combinations early, evaluate them in detail, and use the results to guide further exploration, avoiding exhaustive evaluation of all possible combinations and significantly reducing computation time.
Solution Approach 2:
The patent applies partial action by evaluating a representative subset of species combinations rather than all possible combinations. The presentation combination decision unit selects and evaluates specific combinations based on criteria such as interaction network properties and ecosystem goals, achieving sufficient design quality without the exponential computational burden of complete enumeration.
Data Source
AI summary
The present technology relates to a program, an information processing device, and an information processing method capable of providing a combination of biological species appropriate for constructing a target ecosystem.For each of a plurality of combinations of biological species selected from a plurality of biological species, an interaction network representing an interaction between a main biological species and a sub-biological species is constructed using the main biological species that is a biological species constituting the combination and the sub-biological species that is another biological species that causes an interaction with the main biological species as nodes, and a presentation combination that is a combination of biological species to be presented is decided according to evaluation of the interaction network obtained by evaluating the interaction network by an evaluation method regarding an ecosystem. The present technology can be applied to, for example, an ecosystem support system that provides a combination of biological species appropriate for an ecosystem.