Cyclic behavior detection in generative agents

A machine-readable medium including instructions that, when executed by a machine, cause the machine to perform operations for cycle detection in responses from a generative agent, the operations comprising:

• receiving, from the generative agent, a candidate completion, the candidate completion including a first response to a message from an entity conducting a conversation with the generative agent;
• determining a semantic embedding of the first response, the semantic embedding including a projection of the first response to a semantic space in which semantically similar language is closer to each other than semantically different language;
• determining, based on the semantic embedding, whether the response is a repetition of a prior candidate completion in the conversation;
• and
• performing a mitigation action responsive to determining the response is the repetition.

A system for cycle detection in responses from a generative agent, the system comprising:

• processing circuitry;
• and
• at least one memory, the memory including instructions that, when executed by the processing circuitry, cause the processing circuitry to implement:
• a semantic extractor configured to generate a semantic embedding of a first response from the generative agent during a conversation, the semantic embedding including a projection of the first response to a semantic space in which semantically similar language is closer than semantically different language;
• and
• a cycle detector configured to receive the semantic embedding and determine, based on the semantic embedding, whether the response is a repetition of a prior candidate completion in the conversation.