International business machines corporation (20240289656). CONSTRUCTION OF DOMAIN-SPECIFIC CAUSAL RELATIONS simplified abstract
Contents
CONSTRUCTION OF DOMAIN-SPECIFIC CAUSAL RELATIONS
Organization Name
international business machines corporation
Inventor(s)
Naoto Sato of Kawasaki-shi (JP)
CONSTRUCTION OF DOMAIN-SPECIFIC CAUSAL RELATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289656 titled 'CONSTRUCTION OF DOMAIN-SPECIFIC CAUSAL RELATIONS
Simplified Explanation:
This patent application describes a method for determining causal relations between a set of events and a selected event by utilizing causality and entailment collections to create domain-specific algebraic structures.
- Events are analyzed to determine causal relations
- Causality and entailment collections are used to create algebraic structures
- Causal relations are determined based on the relation between these structures
Key Features and Innovation:
- Utilizes causality and entailment collections for causal analysis
- Formulates events as domain-specific algebraic structures
- Determines causal relations based on the relation between these structures
Potential Applications:
- Predictive analytics
- Causal inference in complex systems
- Event sequence analysis
Problems Solved:
- Identifying causal relations between events
- Enhancing understanding of complex systems
- Improving predictive modeling accuracy
Benefits:
- Improved decision-making based on causal insights
- Enhanced understanding of system dynamics
- More accurate predictions in various fields
Commercial Applications:
Predictive Analytics: Enhancing predictive modeling accuracy in various industries such as finance, healthcare, and marketing.
Prior Art:
Further research can be conducted in the fields of causal inference, event sequence analysis, and predictive analytics to explore existing methodologies and technologies related to this innovation.
Frequently Updated Research:
Stay updated on the latest advancements in causal analysis, event sequence modeling, and predictive analytics to leverage cutting-edge technologies in decision-making processes.
Questions about Causal Analysis: 1. How does this method differ from traditional causal analysis techniques? 2. What are the potential limitations of using domain-specific algebraic structures for causal inference?
Original Abstract Submitted
a method of determining causal relations includes receiving a set of events, a selected event and a request to determine whether the set of events has a causal relation with the selected event, receiving a causality collection including a plurality of causality pairs, and receiving an entailment collection including a plurality of entailment pairs, each entailment pair including a first event and a second event. a first group of events is selected from the causality and entailment collections, and the first group of events is formulated as a first domain-specific algebraic structure. the method further includes selecting a second group of events from the causality and entailment collections, formulating the second group of events as a second domain-specific algebraic structure, and determining a causal relation between the set of events and the selected event based on a relation between the first structure and the second structure.
