Embracing AWKWARD! Real-time Adjustment of Reactive Plans Using Social Norms
This work addresses the challenge of building robust intelligent agent teams that adapt to social roles, bridging symbolic- and behavior-based AI communities, but it appears incremental as it integrates existing frameworks.
The paper tackles the problem of real-time plan adjustment for hybrid agents in Multi-Agent Systems by introducing the AWKWARD architecture, which combines Behaviour Oriented Design and the OperA framework to align agent behaviors with social norms, demonstrated in DOTA2.
This paper presents the AWKWARD architecture for the development of hybrid agents in Multi-Agent Systems. AWKWARD agents can have their plans re-configured in real time to align with social role requirements under changing environmental and social circumstances. The proposed hybrid architecture makes use of Behaviour Oriented Design (BOD) to develop agents with reactive planning and of the well-established OperA framework to provide organisational, social, and interaction definitions in order to validate and adjust agents' behaviours. Together, OperA and BOD can achieve real-time adjustment of agent plans for evolving social roles, while providing the additional benefit of transparency into the interactions that drive this behavioural change in individual agents. We present this architecture to motivate the bridging between traditional symbolic- and behaviour-based AI communities, where such combined solutions can help MAS researchers in their pursuit of building stronger, more robust intelligent agent teams. We use DOTA2, a game where success is heavily dependent on social interactions, as a medium to demonstrate a sample implementation of our proposed hybrid architecture.