  Multiagent Systems (MAS) research reached a maturity to be confidently
applied to real-life complex problems. Successful application of MAS methods
for behavior modeling, strategic reasoning, and decentralized governance,
encouraged us to focus on applicability of MAS techniques in a class of
industrial systems and to elaborate on potentials and challenges for method
integration/contextualization. We direct attention towards a form of industrial
practices called Industrial Symbiosis Systems (ISS) as a highly dynamic domain
of application for MAS techniques. In ISS, firms aim to reduce their material
and energy footprint by circulating reusable resources among the members. To
enable systematic reasoning about ISS behavior and support firms' (as well as
ISS designers') decisions, we see the opportunity for marrying industrial
engineering with engineering multiagent systems. This enables introducing (1)
representation frameworks to reason about dynamics of ISS, (2) operational
semantics to develop computational models for ISS, and (3) coordination
mechanisms to enforce desirable ISS behaviors. We argue for applicability and
expressiveness of resource-bounded formalisms and norm-aware mechanisms for the
design and deployment of ISS practices. In this proposal, we elaborate on
different dimensions of ISS, present a methodological foundation for ISS
development, and finally discuss open problems.
