PROSA/G: An architecture for agent-based manufacturing execution

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Yang

et al. 2019

Self Cite

The benefits that arise from the adoption of a systems engineering approach to the design of engineered systems are well understood and documented. However, with software systems, different approaches are required given the changeability of requirements and the malleability of software. With the design of industrial cyber-physical systems, one is confronted with the challenge of designing engineered systems that have a significant software component. Furthermore, that software component must be able to seamlessly interact with both the enterprise's business systems and industrial systems. In this paper, we present Janus, which together with the GORITE BDI agent framework, provides a methodology for the design of agentbased industrial cyber-physical systems. Central to the Janus approach is the development of a logical architecture as in traditional systems engineering and then the allocation of the logical requirements to a BDI (Belief Desire Intention) agent architecture which is derived from the physical architecture for the system. Janus has its origins in product manufacturing; in this paper, we apply it to the problem of Fault Location, Isolation and Service Restoration (FLISR) for power substations.

Section: Discussionmentioning

confidence: 99%

Section: The Agent Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Janus: A Systems Engineering Approach to the Design of Industrial Cyber-Physical Systems

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Yang

et al. 2019

Self Cite

“…In the implementations discussed in [4], the environment is virtual and actions are modelled as goals whose execute() methods invoke time delays. However, case studies are presented in [16], [17] where GORITE agents interact with a physical manufacturing system. In this regard, GORITE provides two specialized Goal classes -namely the Action class and the Remote-Goal class to better support physical execution.…”

Section: Goritementioning

confidence: 99%

Application of the GORITE BDI Framework to Human-Autonomy Teaming: A Case Study

Noorunnisa

CIT. J. comput. inf. technol

et al. 2019

Human-Autonomy Teaming (HAT) is of growing interest in the military sector, particularly in its application to war gaming using semi-automated computer generated forces (CGF). In these applications, one or more operators manage multiple semi-autonomous game entities. If effective collaboration (teaming) is to occur between operators and entities, then having effective interaction models is essential if the levels of trust and explanatory capability required for military operations are to be delivered. The Situation Awareness-Based Agent Transparency (SAT) Model has been identified as providing a suitable conceptual framework for such models. However, while the SAT model is informed by the Belief-Desire-Intention (BDI) model of agency, to date there has been no implementation of an interaction model at the level of desires and intentions, i.e. goals. In this paper, we propose that GORITE, a novel BDI framework that employs explicit goal representations and a shared data context for goal execution, provides a suitable platform for the development of SAT-enabled agents. The feasibility of this proposition is demonstrated through the development of a simple but representative CGF case study. ACM CCS (2012) Classification: Computing methodologies → Artificial Intelligence → Distributed Artificial Intelligence → Multi-agent systems

“…This technique illustrates how agents can dynamically monitor systems, updating their beliefs and reconfiguring the control layer from the execution layer. This represents a significant enhancement of the interaction scheme employed in [7], [8] where execution layer agents only initiated function block controlled actions. Section 2 introduces the characteristics of IEC 61499 Function Blocks and how ICPS using them are crafted.…”

Section: Introductionmentioning

confidence: 99%

Employing Agent Beliefs during Fault Diagnosis for IEC 61499 Industrial Cyber-Physical Systems

Dowdeswell

Sinha

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

et al. 2020

Self Cite

We have come to rely on industrial-scale cyber-physical systems more and more to manage tasks and machinery in safety-critical situations. Efficient, reliable fault identification and management has become a critical factor in the design of these increasingly sophisticated and complex devices. Teams of co-operating software agents are one way to coordinate the flow of diagnostic information gathered during fault-finding. By wielding domain knowledge of the software architecture used to construct the system, agents build and refine their beliefs about the location and root cause of faults. This paper examines how agents constructed within the GORITE Multi-Agent Framework create and refine their beliefs. We demonstrate three different belief structures implemented within our Fault Diagnostic Engine, showing how each supports a distinct aspect of the agent's reasoning. Using domain knowledge of the IEC 61499 Function Block architecture, agents are able to examine and rigorously evaluate both individual components and entire subsystems.