PATENT CLAIM ANALYSIS

Application Number: 15908384
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["434", "335000"]

Abstract:
An intelligent adaptive integrated learning environment to optimize the learning process to a particular user. The environment is capable of providing assessment and targeted feedback.

Claim (Index 14):
The method of  claim 13 , further comprising the steps of maximizing F(S) probabilistically by defining T(e) as the event that an element e\u2208\u03f5=I U A triggers, assuming it is impossible to execute two or more events simultaneously implying that the movement from state S to another state Q can be accomplished by triggering only one event T(e) and, therefore, the transition probability is Pr(Q|S)=Pr(T(e)|S), for some element e; executing a random walk search algorithm on the space of system states guided by probabilities Pr(T(e)|S), e\u2208\u03f5 to find an optimal distribution which allows the maximization of F(S) in the most efficient way possible.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.17391
- Patent Class: 434.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14210040', '14861742', '14912988', '15830670', '09935219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2943782128274408
- 35 USC 102 Novelty (BERT): 0.5075191330880915
- Combined Prediction Score: 0.3156923048535059
- Mean Citation Score: 151.91902
- Max Citation Score: 170.77051
- Similarity Product: 78.67091106747837

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

Dataset: test