Implement Conditional Native Transfer in Learning ABCI Skills #7
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Overview
This pull request introduces a new set of components aimed at managing conditional native transfers within the
learning_abciskill. The modifications include the creation ofConditionalNativeTransferBehaviour,ConditionalNativeTransferPayload, andConditionalNativeTransferRound. These elements work together to enhance the agent's capabilities in handling native transactions based on predefined conditions.Changes
learning_abci Skill:
behaviours.py: AddedConditionalNativeTransferBehaviourto initiate transactions based on specific conditions.rounds.py: ImplementedConditionalNativeTransferRoundto define the transaction round logic.payloads.py: CreatedConditionalNativeTransferPayloadto encapsulate the data necessary for executing conditional native transactions.fsm_specification.yaml: Updated the finite state machine specifications to include states and transitions related to the new conditional transfer logic.learning_chained_abci Skill:
fsm_specification.yaml: Modifications to the FSM to acknowledge and support the new behavior introduced inlearning_abci.Purpose
The introduction of these components allows for more dynamic transaction execution strategies, enabling the agent to perform transactions that are not only reactive but also conditional on internal state or external events. This enhancement aligns with ongoing efforts to broaden the utility and responsiveness of our autonomous economic agents.