Selected Papers of John H Holland

Vasbinder, Jan Wouter; Gao, Helena Hong

doi:10.1142/10841

Cited by 1 publication

(2 citation statements)

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“…A wide variety of mechanisms is available at different levels of abstraction and computational complexity with typical parallels drawn to biologically inspired learning and evolutionary processes including activity-based credit assignment, unsupervised techniques (e.g., clustering, rule mining) and reinforcement learning [42][43][44][45]. These can be based on the premise that new system states are being continuously captured in timely snapshots of data and added to an accumulated repository representing the system knowledge supporting iterative training employing updates in the system behavior.…”

Section: Include Pervasive Incremental Automated Learningmentioning

confidence: 99%

“…Such "design for adaptive sustainment" objectives call for inclusion of models of the environment in which adaptation is occurring as well as of the mechanism mediating the process. A wide variety of such representations is available at different levels of abstraction and computational complexity with typical parallels drawn to biologically inspired learning and evolutionary processes [43][44][45]. One possibility that seems especially apt here (and is rarely considered) rests on the analogy to the carrying capacity of an ecosystem for a member species.…”

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confidence: 99%

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MBSE with/out Simulation: State of the Art and Way Forward

Zeigler

Mittal

Traoré

2018

Systems

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The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments. M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This paper considers the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, is examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such systems.

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Section: Include Pervasive Incremental Automated Learningmentioning

confidence: 99%

mentioning

confidence: 99%