  This paper introduces the APIA architecture for policy-aware intentional
agents. These agents, acting in changing environments, are driven by intentions
and yet abide by domain-relevant policies. This work leverages the AIA
architecture for intention-driven intelligent agents by Blount, Gelfond, and
Balduccini. It expands AIA with notions of policy compliance for authorization
and obligation policies specified in the language AOPL by Gelfond and Lobo.
APIA introduces various agent behavior modes, corresponding to different levels
of adherence to policies. APIA reasoning tasks are reduced to computing answer
sets using the Clingo solver and its Python API.
