PATENT CLAIM ANALYSIS

Application Number: 15972801
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-03
Patent Classification: ["717", "104000"]

Abstract:
The AKOS (Artificial Knowledge Object System) of the invention is a software processing engine that relates incoming information to pre-existing stored knowledge in the form of a world model and, through a process analogous to human learning and comprehension, updates or extends the knowledge contained in the model, based on the content of the new information. Incoming information can come from sensors, computer to computer communication, or natural human language in the form of text messages. The software creates as an output. Intelligent action is defined as an output to the real-world accompanied by an alteration to the internal world model which accurately reflects an expected, specified outcome from the action. These actions may be control signals across any standard electronic computer interface or may be direct communications to a human in natural language.

Claim (Index 5):
A method of providing an output in a computer system including claim  11  comprising:\n inputting the data stream to the at least one input; \n processing the data stream with the system to create the software objects; \n processing the context model to update the context model; \n providing at least one output from the system which is an action depended on the updated context model.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 93.0
- Lexical Diversity: 1.68966
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13779288', '13183945', '14825171', '14098787', '15952338']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3449084527186564
- 35 USC 102 Novelty (BERT): 0.5531973446509848
- Combined Prediction Score: 0.3657373419118892
- Mean Citation Score: 180.08813479999995
- Max Citation Score: 401.9738
- Similarity Product: 257.27546955705884

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test