Visual Analytic Decision-Making Environments for Large-Scale Time-Evolving Graphs

Venna, Siva R.; Gottumukkala, Raju; Raghavan, Vijay V.

doi:10.1016/bs.host.2016.07.002

Cited by 4 publications

(2 citation statements)

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“…While Strong Cognitive Symbiosis is a new design principle pioneered in this publication, elements of the approach can be gleaned in other applications. For example, [54] discuss visual analytic decision-making environments for large-scale time-evolving graphs. These pose difficulties for decision-making because they describe phenomena where large volumes of inter-related data are evolving in complex patterns.…”

Section: Towards a Strong Cognitive Symbiosismentioning

confidence: 99%

Strong Cognitive Symbiosis: Cognitive Computing for Humans

Veres

2017

BDCC

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"Cognitive Computing" has become somewhat of a rallying call in the technology world, with the promise of new smart services offered by industry giants like IBM and Microsoft. The associated technological advances in Artificial Intelligence (AI) have thrown into the public sphere some old questions about the relationship between machine computation and human intelligence. Much of the industry and media hype suggests that many traditional challenges have been overcome. On the contrary, our simple examples from language processing demonstrate that present day cognitive computing still struggles with fundamental, long-standing problems in AI. An alternative interpretation of cognitive computing is presented, following Licklider's lead in adopting "man-computer symbiosis" as a metaphor for designing software systems that enhance human cognitive performance. A survey of existing proposals on this view suggests a distinction between weak and strong versions of symbiosis. We propose a Strong Cognitive Symbiosis, which dictates an interdependence rather than simply cooperation between human and machine functioning, and introduce new software systems, which were designed for cognitive symbiosis. We conclude that strong symbiosis presents a viable new perspective for the design of cognitive computing systems.

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Section: Towards a Strong Cognitive Symbiosismentioning

confidence: 99%

Strong Cognitive Symbiosis: Cognitive Computing for Humans

Veres

2017

BDCC

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show abstract

“…While Strong Cognitive Symbiosis is a new design principle pioneered in this publication, elements of the approach can be gleaned in other applications. For example[54] discuss visual analytic decision-making environments for large-scale time-evolving graphs. These pose difficulties for decision making because they describe phenomena where large volumes of inter related data are Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 27 October 2017 doi:10.20944/preprints201709.0062.v2 evolving in complex patterns.…”

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confidence: 99%