Artificial intelligence system

A method of training an Artificial Intelligence, AI, processing system to learn an improved communication algorithm to learn how to solve one or more tasks, the AI processing system comprising at least one first agent module operatively connected to an input module for receiving input data, and to an output module configured to output data processed by the system, the at least one first agent module comprising two or more first sub-agent modules, each first sub-agent module being operatively connected to at least one other first sub-agent module within the first agent module, each sub-agent module being configured to execute a communication algorithm defining how each sub-agent module communicates with other sub-agent modules comprised within the at least one first agent module, when processing input data associated with the one or more tasks, the method comprising the steps of:

• receiving by the input module, input data associated with the one or more tasks that the AI processing system is learning to solve;
• iteratively processing, by the two or more first sub-agent modules, during a first iterative process, the input data in accordance with the communication algorithm and generating during each iteration output data;
• analysing the output data generated during each iteration of the first iterative process and providing to the first agent module, a structured feedback dependent on the output data generated during each iteration, the structured feedback comprising information enabling at least one parameter associated with at least one sub-agent module to be modified during subsequent iterations of the first iterative process;
• repeating the first iterative process until a first threshold condition is achieved;
• determining if the communication algorithm satisfies a second threshold condition;
• modifying the communication algorithm executed by each sub-agent module if the second threshold condition is not satisfied;
• and
• iteratively repeating the method steps until the communication algorithm satisfies the second threshold condition.

A non-transitory computer readable medium storing instructions for training an Artificial Intelligence, AI, processing system to learn an improved communication algorithm to learn how to solve one or more tasks, the AI processing system comprising at least one first agent module operatively connected to an input module for receiving input data, and to an output module configured to output data processed by the system, the at least one first agent module comprising two or more first sub-agent modules, each first sub-agent module being operatively connected to at least one other first sub-agent module within the first agent module, each sub-agent module being configured to execute a communication algorithm defining how each sub-agent module communicates with other sub-agent modules comprised within the at least one first agent module when processing input data associated with the one or more tasks, the instructions being executable by one or more processors and configuring the one or more processors to perform the method of:

• receiving, by the input module, input data associated with the one or more tasks that the AI processing system is learning to solve;
• iteratively processing, by the two or more first sub-agent modules, during a first iterative process, the input data in accordance with the communication algorithm and generating during each iteration output data;
• analysing the output data generated during each iteration of the first iterative process and providing to the first agent module, a structured feedback dependent on the output data generated during each iteration, the structured feedback comprising information enabling at least one parameter associated with at least one sub-agent module to be modified during subsequent iterations of the first iterative process;
• repeating the first iterative process until a first threshold condition is achieved;
• determining if the communication algorithm satisfies a second threshold condition;
• modifying the communication algorithm executed by each sub-agent module if the second threshold condition is not satisfied;
• and
• iteratively repeating the method until the communication algorithm satisfies the second threshold condition.