H.A.R.D.L.I.N.E
Character
Image Source: N/A
Intent: To create a predictive, situational analysis AI for use by a select few LONGBOW agents.
Development Thread: [Dr. Hansen's Project Logs] [Dr. Langleys Project Report.]
Manufacturer: Project Oracle
Model: Project Oracle AI
Affiliation: LONGBOW agents
Modularity: No
Production: Semi-Unique
Material: Computer Components
Description: The Project Oracle AI are AI's designed to provide general trend predictions and situational analysis for select LONGBOW agents. The AI's are split into two parts, the AI, that the agent keeps on their person, and the mainframe that runs the predictive algorithms. The AI and the Mainframe communicate via multiple secure holonet channels. The AI's themselves have differing personalities, and therefore some AI's are better suited for certain agents than others. The predictive algorithms can give agents predictions based on previous collected data, though these predictive algorithms are not perfect, and surprises are not out of the question.
The near future predictions operate on a principle of probability. It takes in large amounts of data from the holonet, security cameras, police reports, and other forms of data in order to predict general details about upcoming events that are known to be occuring. An example would be, an agent knows there is a bomb somewhere in the building, so the AI would give a prediction of the most likely places the bomb is kept based on previous bombings by the same suspect or organization, and general trends of bombers in general. Another example would be the agent believes there is a trap coming up, the AI would compile data on previously encountered traps by the same organization in similar locations, and give the most probable locations where the assiliants might come from. Now since it runs off of probability and data analysis unexpected outcomes with low probability are likely to be discarded as not possible, so it is very easy to miss threats that do not conform to a general pattern. An example is if the AI thinks the bomb from the earlier example is either in the oven in the kitchen, hidden inside the statue on the far wall, or strapped to a person, as these were the most probable options. If the bomb was say, in the floorboards, then the AI would be fooled and the bomb probably would not be found unless they gained some other piece of information to narrow it down.
The AI's (not the mainframe) also provide crucial situational analysis and advice that could mean the difference between life and death in the field. There is one mainframe supercomputer in a hidden location. All AI's share the same supercomputer for predictions, and the mainframe complex can be expanded if needed. The mainframe as of now has not been tested with more than one AI, but processing power usage is about 20% for heavy calculations, so on one mainframe about 5 AI can be used before the complex should need to be expanded. You can think of the mainframe as one central point on a web, over which many nodes can be connected.
The AI's also provide comfort, and companionship, which can really boost morale, and get agents through tough times. The AI's are only provided to the best and most trusted LONGBOW agents, as they are expensive, and highly advanced.
Primary Source: (Please link the source of another writer's submission that you are modifying for your use; only necessary for "Chaos Canon" submissions)
Intent: To create a predictive, situational analysis AI for use by a select few LONGBOW agents.
Development Thread: [Dr. Hansen's Project Logs] [Dr. Langleys Project Report.]
Manufacturer: Project Oracle
Model: Project Oracle AI
Affiliation: LONGBOW agents
Modularity: No
Production: Semi-Unique
Material: Computer Components
Description: The Project Oracle AI are AI's designed to provide general trend predictions and situational analysis for select LONGBOW agents. The AI's are split into two parts, the AI, that the agent keeps on their person, and the mainframe that runs the predictive algorithms. The AI and the Mainframe communicate via multiple secure holonet channels. The AI's themselves have differing personalities, and therefore some AI's are better suited for certain agents than others. The predictive algorithms can give agents predictions based on previous collected data, though these predictive algorithms are not perfect, and surprises are not out of the question.
The near future predictions operate on a principle of probability. It takes in large amounts of data from the holonet, security cameras, police reports, and other forms of data in order to predict general details about upcoming events that are known to be occuring. An example would be, an agent knows there is a bomb somewhere in the building, so the AI would give a prediction of the most likely places the bomb is kept based on previous bombings by the same suspect or organization, and general trends of bombers in general. Another example would be the agent believes there is a trap coming up, the AI would compile data on previously encountered traps by the same organization in similar locations, and give the most probable locations where the assiliants might come from. Now since it runs off of probability and data analysis unexpected outcomes with low probability are likely to be discarded as not possible, so it is very easy to miss threats that do not conform to a general pattern. An example is if the AI thinks the bomb from the earlier example is either in the oven in the kitchen, hidden inside the statue on the far wall, or strapped to a person, as these were the most probable options. If the bomb was say, in the floorboards, then the AI would be fooled and the bomb probably would not be found unless they gained some other piece of information to narrow it down.
The AI's (not the mainframe) also provide crucial situational analysis and advice that could mean the difference between life and death in the field. There is one mainframe supercomputer in a hidden location. All AI's share the same supercomputer for predictions, and the mainframe complex can be expanded if needed. The mainframe as of now has not been tested with more than one AI, but processing power usage is about 20% for heavy calculations, so on one mainframe about 5 AI can be used before the complex should need to be expanded. You can think of the mainframe as one central point on a web, over which many nodes can be connected.
The AI's also provide comfort, and companionship, which can really boost morale, and get agents through tough times. The AI's are only provided to the best and most trusted LONGBOW agents, as they are expensive, and highly advanced.
Primary Source: (Please link the source of another writer's submission that you are modifying for your use; only necessary for "Chaos Canon" submissions)