Multi-agent Simulation to Implementation: A Practical Engineering Methodology for Designing Space Flight Operations

Clancey, William J.; Sierhuis, Maarten; Seah, Chin; Buckley, Chris B.; Reynolds, Fisher; Hall, Timothy A.; Scott, Mike

doi:10.1007/978-3-540-87654-0_5

Cited by 15 publications

(8 citation statements)

References 8 publications

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“…Both the current and future operations simulations model work shifts, handovers between OCA Officers, and maintaining handover logs. Both simulations were run using 1 month of previously recorded data about file management, allowing quantitative comparisons of the OCA Officer's work with and without the tool (Clancey et al, 2008;Sierhuis et al, 2009).…”

Section: Objectives Requirements and Methodologymentioning

confidence: 99%

“…We begin our story by providing an example of how Brahms has been used to design and implement a workflow tool called OCAMS for communications between ground support in NASA's Mission Control Center (MCC) in Houston and the astronaut crew of the International Space Station (ISS; Clancey et al, 2008). We analyze the use of abstraction in this workflow tool, thus explicating some of the principles in the Brahms architecture, and relate the design of the tool to 2nd GES terminology.…”

Section: Content Organizationmentioning

confidence: 99%

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Workflow agents versus expert systems: Problem solving methods in work systems design

Clancey

Sierhuis

Seah

2009

AIEDAM

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During the 1980s, a community of artificial intelligence researchers became interested in formalizing problem solving methods (PSMs) as part of an effort called “second-generation expert systems.” We provide an example of how we are applying second-generation expert systems concepts in an agent-based system for space flight operations, the orbital communications adapter mirroring system (OCAMS), which was developed in the Brahms multiagent framework. Brahms modeling language provides an ontology for simulating work practices, including groups, agents, activities, communications, movements, and geographic areas.Activitiesare a behavioral unit of analysis to be contrasted withtasks, a functional unit of analysis. Problem solving occurs in the context of activities in the service of tasks; appropriate PSMs depend on the context: which people/roles are participating, what tools are available, how the results will be evaluated, and so forth. A work practice simulation facilitates designing workflow tools that appropriately interact with the physical and organizational context in which work occurs. OCAMS was developed using a simulation-to-implementation methodology, in which a prototype workflow tool was embedded in a Brahms simulation of how people would use the tool. The reusable components in a workflow system like OCAMS include entire “problem solvers” (e.g., a planning subsystem), interoperability frameworks, and agents that inspect and change the world. Thus, a tool kit for building workflow tools requires more than a library of PSMs, which play a relatively small role in the overall multiagent, systems-integration architecture. Our research concern has shifted to situations that may arise that are outside the OCAMS' capability. In practical decision making, people must reflect on the validity of their models. As programs becoming actors in the workplace, we need to develop systems that help people to understand the limitations of the models that drive the automated operations, which means in part detecting when the formalizations in the system are inadequate.

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Section: Objectives Requirements and Methodologymentioning

confidence: 99%

Section: Content Organizationmentioning

confidence: 99%

Workflow agents versus expert systems: Problem solving methods in work systems design

Clancey

Sierhuis

Seah

2009

AIEDAM

Self Cite

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“…The Ames OCAMS project team has developed the agent-based OCAMS to perform this entire process by using the Simulation-to-Implementation Engineering method. 6 First they simulated the OCA Officer's work practices to identify possible process improvements. Using statistics generated from this simulation model and collaborative design with the OCA Team at JSC, they then developed an agent-based workflow system that supports the redesigned and improved OCA work process.…”

Section: B Mission Operations Design Modeling and Workflow Automationmentioning

confidence: 99%

Intelligent Systems Technologies for Ops

Smith

Korsmeyer²

2012

SpaceOps 2012 Conference

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“…For example, the API of the EVA Robotic Assistant (ERA [11]) exposes its C++ methods using CORBA objects, which the ERA CA, written in Java, translates to and from SpeechActs used by agents throughout the exploration system. A later generalization, called the Collaborative Infrastructure (CI) used in Exploration Technology and Development "autonomy for operations" projects for information exchange services and in OCAMS [9] for ISS file management, handles this translation by providing a toolkit of C++ and Java libraries that include SpeechActs for "agentifying" an external system [10].…”

Section: Mobile Agents Architecturementioning

confidence: 99%

Software Productivity of Field Experiments Using the Mobile Agents Open Architecture with Workflow Interoperability

Clancey

Lowry

Nado

et al. 2011

2011 IEEE Fourth International Conference on Space Mission Challenges for Information Technology

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Abstract-We analyzed a series of ten systematically developed surface exploration systems that integrated a variety of hardware and software components. Design, development, and testing data suggest that incremental buildup of an exploration system for long-duration capabilities is facilitated by an open architecture with appropriate-level APIs, specifically designed to facilitate integration of new components. This improves software productivity by reducing changes required for reconfiguring an existing system.

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Multi-agent Simulation to Implementation: A Practical Engineering Methodology for Designing Space Flight Operations

Cited by 15 publications

References 8 publications

Workflow agents versus expert systems: Problem solving methods in work systems design

Workflow agents versus expert systems: Problem solving methods in work systems design

Intelligent Systems Technologies for Ops

Software Productivity of Field Experiments Using the Mobile Agents Open Architecture with Workflow Interoperability

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