Re: Cognitive Systems Paradigm - P Langley

that would be brilliant.
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On Sat, Feb 13, 2021 at 3:01 PM Paola Di Maio <paoladimaio10@gmail.com>
wrote:

> Glad you find the article interesting and relevant, have been reading some
> other stuff by Langley
> and his work is an important reference for me,
> I wonder if we could persuade him to join us in a webinar,
> P
>
> On Fri, Feb 12, 2021 at 6:49 PM Dave Raggett <dsr@w3.org> wrote:
>
>> Thanks for the pointer.
>>
>> I very much concur with the importance of a systems level perspective.
>> Work in linguistics, for instance, has focused on syntactic details of
>> language, but language is essentially a means for one mind to communicate
>> meaning to another. Building executable end to end models of communication
>> via language would provide a firm foundation for evaluating theories of how
>> language is learned and evolves through use, turning linguistics from a
>> descriptive science into an experimental one.
>>
>> Langley comments on the popularity of formal guarantees, and I’ve long
>> noticed that many publications have included mathematical models, lemmas
>> and proofs, as a way to strengthen the case they make, despite starting
>> from dubious assumptions. A related point is the faith in mathematical
>> logic and formal semantics as being superior to other approaches.
>>
>> I also believe in the value of functional level requirements as a basis
>> for decoupling higher level theories from the underlying implementations.
>> This corresponds to transforming problems into models that are easier to
>> work with, something that has been a boon to physics. Of course we still
>> want to understand how the brain approximates these higher level models.
>> This is where simulations of pulsed neural networks can work in hand with
>> improvements in neuroscience. Work on Deep Learning has diverged from
>> biologically plausible models, and unsurprisingly, fails to mirror the
>> capabilities of the human brain in major ways.
>>
>> Another term in vogue is “human-like AI” which has the benefit of being
>> immediately understandable to a broad audience, along with the implications
>> of a broader scope than cognition. Moreover, experimental data of human
>> subjects can guide theories and their evaluation, e.g. eye tracking data in
>> relation to natural language processing.
>>
>> Langley concludes that "we need demonstrations of flexible, high-level
>> cognition in less constrained settings that require the combination of
>> inference, problem solving, and language into more complete intelligent
>> systems”.
>>
>> This is very much in line with the ambitions of the W3C Cognitive AI CG.
>>
>> On 12 Feb 2021, at 05:55, Paola Di Maio <paola.dimaio@gmail.com> wrote:
>>
>> This week  Reader
>> important points, ie in the beginning, there was no separation between AI
>> and Cognitive Systems
>>
>> *  The early days of artificial intelligence were guided by a common
>> vision: understanding and reproducing, in computational systems, the full
>> range of intelligent behavior that we observe in humans. Many researchers
>> continued to share these aims until the 1980s and 1990s, when AI began to
>> fragment into a variety of specialized subdisciplines, each with far more
>> limited objectives. This produced progress in each area, but, in the
>> process, many abandoned the field’s original goal. Rather than creating
>> intelligent systems with the same breadth and flexibility as humans, most
>> recent research has produced impressive but narrow idiot savants. The
>> field’s central goal was to understand the nature of the mind. This is one
>> of the core aims of science, on an equal footing with questions about the
>> nature of the universe, the nature of matter, and the nature of life. As
>> such, it deserves the same respect and attention it received during
>> discipline’s initial periods. However, since mainstream AI has largely
>> abandoned this goal, we require a new name for research that remains
>> committed to the original vision. For this purpose, I propose the phrase
>> cognitive systems, which Brachman and Lemnios (2002) championed at DARPA in
>> their efforts to encourage research in this early tradition. As we will see
>> later, this label incorporates some key ideas behind the movement  *
>>
>>
>>
>>   The Cognitive Systems Paradigm
>> P Langley
>> http://www.cogsys.org/pdf/paper-1-2.pdf
>>
>>
>> Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett
>> W3C Data Activity Lead & W3C champion for the Web of things
>>
>>
>>
>>
>>