18414821. AUTOMATED TASK PLANNING SYSTEM AND METHOD USING HEURISTIC EVALUATION VALUE CALCULATED BASED ON CAUSAL ACTION NETWORK simplified abstract (Electronics and Telecommunications Research Institute)
AUTOMATED TASK PLANNING SYSTEM AND METHOD USING HEURISTIC EVALUATION VALUE CALCULATED BASED ON CAUSAL ACTION NETWORK
Organization Name
Electronics and Telecommunications Research Institute
Inventor(s)
AUTOMATED TASK PLANNING SYSTEM AND METHOD USING HEURISTIC EVALUATION VALUE CALCULATED BASED ON CAUSAL ACTION NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18414821 titled 'AUTOMATED TASK PLANNING SYSTEM AND METHOD USING HEURISTIC EVALUATION VALUE CALCULATED BASED ON CAUSAL ACTION NETWORK
Simplified Explanation: The automated task planning system and method described in the patent application use a heuristic evaluation value based on a causal action network to create an action plan for an autonomous entity.
Key Features and Innovation:
- Automated task planning system using heuristic evaluation values.
- Calculation of heuristic evaluation values based on a causal action network.
- Creation of a search tree for task completion.
- Generation of an action plan for an autonomous entity.
- Connection of action nodes through edges in the search tree.
Potential Applications: This technology can be applied in autonomous systems, robotics, artificial intelligence, and task automation.
Problems Solved: The technology addresses the challenges of efficient task planning, decision-making, and action sequencing for autonomous entities.
Benefits:
- Improved efficiency in task planning.
- Enhanced decision-making capabilities.
- Streamlined action sequencing process.
- Increased autonomy in systems.
Commercial Applications: The technology can be utilized in industries such as manufacturing, logistics, healthcare, and smart home systems to optimize task planning and execution processes.
Prior Art: Readers can explore prior research on heuristic evaluation values, causal action networks, and automated task planning systems in the fields of artificial intelligence and robotics.
Frequently Updated Research: Researchers are continually exploring advancements in heuristic evaluation techniques, causal reasoning in action planning, and autonomous system decision-making processes.
Questions about Automated Task Planning Systems: 1. How does the use of heuristic evaluation values improve task planning efficiency? 2. What are the potential limitations of relying on a causal action network for generating action plans?
Original Abstract Submitted
Provided are an automated task planning system and method using a heuristic evaluation value calculated on the basis of a causal action network. The automated task planning system is a task planning system for calculating heuristic evaluation values of search tree nodes for an action space on the basis of a causal action network, creating a search tree related to completion or achievement of a task, and generating an action plan of an autonomous thing on the basis of the search tree, and includes a processor configured to create an action space search tree. During the creation of the action space search tree, the processor calculates heuristic evaluation values of front nodes and determines an expansion node. The action space search tree is created by connecting action nodes which are nodes corresponding to actions through edges corresponding to states.
