A SkillsCast for this session is not available.
The talk will touch on the following topics which have inspired this approach:
- activity theory
- mirror neurons and simulated embodiment
- simulation theory (and the matrix)
- episodic memories and dreams as well as indirectly:
- discrete event simulation
- actor programming model
- supervision and control
- signals and boundaries
This talk offers a model of human and software understanding based on activities actioned by actors within an environment supporting observation and perception of such acts including the situational context surrounding them, both before and after. The model is used to capture software behavior that is then streamed and mirrored into a Machine Matrix in which extensions, adaptations and augmentations are applied post execution as playback of behavior is simulated across 1000s of threads and processes.
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William Louth is a renowned software engineer with particular expertise in software engineering adaptive systems, adaptive control, self-regulation, resilience engineering, information visualization, software simulation & mirroring as well as performance measurement and optimization.