[KongchangAI]
ModelMulti-Branch Mental Evolution Architecture / 多分支心理演化架构

MMEA

A concrete implementation architecture of the MWM framework. It models different dimensions of psychological states, such as beliefs, intentions, and emotions, through multiple branches, simulates their continuous evolution along a time axis, and supports interpretability. The branched design allows each dimension to be tracked separately while remaining integrated over time.

Timeline (last 90 days)

Oct 19

MWM is implemented as the Multi-Branch Mental Evolution Architecture (MMEA), which processes different dimensions of mental states through multiple branches and simulates continuous evolution along a time axis.

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Oct 19

MMEA achieves an accuracy of 96.48% on the DynToM benchmark.

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Oct 19

MMEA improves over baselines by 28.7 percentage points on mental state and behavior prediction tasks.

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Oct 19

MMEA improves over baselines by 39.3 percentage points on long-sequence prediction tasks.

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