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Hostile Neural Networks

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Quilt
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Technological

Hostile Neural Networks

Mod Overview

Hostile Neural Networks is a technological addition for Minecraft version 1.16.5 and above, built on the principles of Deep Mob Learning. This mod opens up the possibility for players to train specialized data models and conduct simulations, the result of which are mob behavior predictions used for automatic loot acquisition.

Core System Components

The central element of the mod is the Data Model - a special item containing information about a specific creature and allowing the generation of corresponding drops. To create a model, you must first craft a Data Model Framework and apply it to the target mob to collect information.

Model training process

Training Process

Data model training is carried out in two main ways: using the Deep Learner or through the Simulation Chamber. The deep learner allows storing several models simultaneously, while kills of corresponding mobs automatically increase the model's training level. All models initially start in the Faulty state and must be brought to the Basic level in the learner.

Simulations and Predictions

After reaching Basic level or higher, you can use the simulation chamber to run virtual tests of your model. Simulations always produce generalized predictions and may also generate Mob Predictions depending on the model's accuracy. The higher the model level, the higher the prediction accuracy, reaching 99.5% at Self-Aware level. Running simulations requires energy (depending on the model type) and a catalyst, usually a Prediction Matrix.

Simulation chamber operation

Result Processing

Mob Predictions require further processing in the Loot Fabricator - a device that uses energy to convert predictions into mob drop items. Available drops are based on predefined item lists, and for each model type, you can select a specific target. The loot fabricator remembers your settings for each type, allowing processing of multiple prediction types in a single device.

Loot fabricator interface

Functionality Expansion

Custom Data Models and Mod Support

Custom Data Models can be added via datapacks. Each data model is represented as a separate file in the data_models subfolder. An example is the witch model file located in the base mod.

In the future, published datapacks for specific mods may be listed here as they are created.

Project members
Shadows_of_Fire

Shadows_of_Fire

Created: 9 Mar 2024

ID: 32212