42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
"""World model: causal state transitions for AGI."""
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from typing import Any, Protocol
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from fusionagi.schemas.plan import Plan
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from fusionagi.schemas.world_model import StateTransition, UncertaintyInfo
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class WorldModel(Protocol):
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"""Protocol for causal model of environment: how actions change state."""
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def predict(self, state: dict[str, Any], action: str, action_args: dict[str, Any]) -> StateTransition:
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"""Predict result of action in state."""
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...
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def uncertainty(self, state: dict[str, Any], action: str) -> UncertaintyInfo:
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"""Return uncertainty/risk for action in state."""
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...
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class SimpleWorldModel:
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"""
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Minimal world model: state is a dict; actions are recorded but
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prediction returns placeholder. Replace with real causal model.
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"""
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def __init__(self) -> None:
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self._transitions: list[StateTransition] = []
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def predict(self, state: dict[str, Any], action: str, action_args: dict[str, Any]) -> StateTransition:
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"""Return placeholder transition (state unchanged)."""
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return StateTransition(
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from_state=dict(state),
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action=action,
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action_args=dict(action_args),
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to_state=dict(state),
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confidence=0.5,
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)
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def uncertainty(self, state: dict[str, Any], action: str) -> UncertaintyInfo:
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return UncertaintyInfo(confidence=0.5, risk_level="medium", rationale="SimpleWorldModel placeholder")
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