diff --git a/dialoguekit/core/dialogue_policy.py b/dialoguekit/core/dialogue_policy.py
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+"""Abstract interface for dialogue policy.
+
+The dialogue policy generates the next dialogue act of an agent based on the
+current dialogue state (last user's utterance and dialogue history). It defines
+the flow of the conversation, i.e., what steps an agent must take at every
+stage. The annotations of the dialogue act represent what the agent must elicit,
+recommend, or inform. The output of the dialogue policy is converted to a
+natural language response by the natural language generator.
+
+For example, in the context of recommendation system, the dialogue act with
+intent ELICIT is generated if the agent does not store any user preferences.
+For the user intent REVEAL, the dialogue policy triggers the generation of an
+item recommendation (dialogue act with intent RECOMMEND).
+"""
+
+from abc import ABC, abstractmethod
+
+from dialoguekit.core.dialogue import Dialogue
+from dialoguekit.core.dialogue_act import DialogueAct
+from dialoguekit.core.utterance import Utterance
+
+
+class DialoguePolicy(ABC):
+    def __init__(self) -> None:
+        """Initializes the dialogue policy."""
+        pass
+
+    @abstractmethod
+    def next_dialogue_act(
+        self, user_utterance: Utterance, dialogue_history: Dialogue
+    ) -> DialogueAct:
+        """Returns the next dialogue act given the user utterance and history.
+
+        This method is most likely used in receive_utterance() in the agent to
+        generate the agent's response. Dialogue act prediction is composed of
+        two steps: intent prediction and annotation prediction.
+
+        Args:
+            user_utterance: The last user utterance.
+            dialogue_history: The dialogue history.
+
+        Raises:
+            NotImplementedError: If not implemented in derived class.
+
+        Returns:
+            The next dialogue act.
+        """
+        raise NotImplementedError