PATENT CLAIM ANALYSIS

Application Number: 16006610
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["711", "170000"]

Abstract:
Methods and apparatuses to improve the performance of a video game engine using an Entity Component System (ECS) are described herein. In accordance with an embodiment, the ECS creates and uses entities, to represent game objects, which are constructed entirely using value data types. The ECS constructs the entities within a memory in a densely packed linear way, and whereby the ECS constantly monitors (e.g., during game play) objects within a game and adjusts the entity distribution within the memory so that a maximum density of memory usage is maintained in real time as the game is being played.

Claim (Index 17):
The method of  claim 10 , the operations further comprising:\n determining that an entity of the set of entities within a first archetype has been modified; based on a determination that the modified entity corresponds to an additional new archetype, adding the additional new archetype to the set of archetypes, building an additional new memory chunk for the additional new archetype, populating the additional new memory chunk with data from the set of components included in the modified entity, and deleting data corresponding to the modified entity from the first archetype; based on a determination that the modified entity corresponds to an existing second archetype in an existing memory chunk, populating the existing memory chunk with data from the set of components included in the modified entity, and deleting data corresponding to the modified entity from the first archetype.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.58571
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13252163', '14708500', '14951433', '13535445', '11030643']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4906365009814142
- 35 USC 102 Novelty (BERT): 0.4647264709030287
- Combined Prediction Score: 0.4880454979735756
- Mean Citation Score: 143.30963400000005
- Max Citation Score: 155.59503
- Similarity Product: 117.48316867547037

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