PATENT CLAIM ANALYSIS

Application Number: 15979350
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["718", "102000"]

Abstract:
A dynamic, distributed directed activity network comprising a directed activity control program specifying tasks to be executed including required individual task inputs and outputs, the required order of task execution, and permitted parallelism in task execution; a plurality of task execution agents, individual of said agents having a set of dynamically changing agent attributes and capable of executing different required tasks in said activity control; a plurality of task execution controllers, each controller associated with one or more of the task execution agents with access to dynamically changing agent attributes; a directed activity controller for communicating with said task execution controllers for directing execution of said activity control program; a communications network capable of supporting communication between said directed activity controller and task execution controllers; and wherein said directed activity controller and task execution controllers communicate via said communication network to execute said directed activity control program using selected task execution agents.

Claim (Index 31):
A method for operation of one or more specifically programmed artificial intelligence expert system control computer machines for control of execution interrelated dependent tasks in a distributed network of task execution agents and controllers comprising a combination of the following steps:\n a step of electronically storing in memory of said one or more specifically programmed artificial intelligence expert system control computer machine one or more artificial intelligence expert system control programs defining: i) required individual task inputs and outputs for successive tasks; ii) the required precedence order of specific task execution; and iii) permitted parallelism in task execution; a step of electronically storing in memory of said one or more specifically programmed artificial intelligence expert system control computer machines expert defined propositional logic statements comprising program statements defining conditional event dependent task execution relationships; a step of electronically storing in memory of said one or more specifically programmed artificial intelligence expert system control computer machines history files of potentially dynamically changing task execution agent attributes of distributed task execution agents accessible to execute selected tasks, a step of electronically executing by the one or more specifically programmed artificial intelligence expert system control computer machines said one or more artificial intelligence expert system programs; a step of electronically transmitting messages to at least one contained distributed task execution agent wherein said electronically transmitted messages provide instructions to direct execution of said tasks according to artificial intelligence expert system control programs; a step of electronically receiving messages by said one or more specifically programmed artificial intelligence expert system control computer machines providing task execution status, sensor derived information and potentially dynamically changing contained network distributed task execution agent attributes; a step of updating potentially dynamically changing task execution attributes stored in memory attribute history files based on information in received messages, a step of electronically analyzing electronically received messages and dynamically updated task execution agent attributes and deriving task dispatch indices indicating the relative desirability of using particular task execution agents among multiple potential distributed task execution agents for particular task executions using one or more of said electronic programmable specialized artificial intelligence expert system computer machines a step of selecting a particular contained task execution agent for executing a particular task based on derived task dispatch indices wherein said artificial intelligence expert system selection further comprises a statistical analysis of an attribute history database of sample times required to execute a particular task with a particular task execution agent; a step of transmitting by the one or more electronic programmable artificial intelligence control computer machines a control message to execute the analyzed task using a selected contained task execution agent, whereby improved resource utilization efficiency is achieved from the use of artificial intelligence expert systems decision making in the execution of artificial intelligence expert system control program based on sensor derived information.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 93.0
- Lexical Diversity: 2.4697
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15274635', '14489974', '10720893', '09740418', '13427689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4252389768685851
- 35 USC 102 Novelty (BERT): 0.6358604462740233
- Combined Prediction Score: 0.4463011238091289
- Mean Citation Score: 332.04375
- Max Citation Score: 548.1619
- Similarity Product: 499.5328186912597

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test