MVC + Sampler + Generator = MVCSG

[Josh SternModerator]

For NLP semantics – some books from my grad school days that provide good case examples (when you want more than the Yale Shooting Proble):

Sowa’s Concpetual Structures (there is a short paper & a longer book)
Harman’s Change In View (talks about revising previously held false beliefs)

[Josh SternModerator]

One concept of “Where to apply background processing work?” Which boxes are more in focus view? How well is is the current model integrated there & how well elaborated are the views of interest wrt anticipated needs? Add Sampler work where we currently have the greatest anticipated shortfall. Long term & short term storage concepts apply there too.

[Josh SternModerator]

Each box should be relatively clear about the kind of individual “objects” or persistences that it picks out, notices as things have a beginning & an end, and could describe using NP. It’s a function of NL and/or persistences in sensor measurements & active investigations/engagements which what seem to be instances of sensor persistence…”Turned out it was a copy!”

Having picked out objects, then other bits of knowledge are often organized around those objects & their relationships.

Views can be thought of as including a way of describing the level of detail & precision in a situational or compound situation (e.g. a lifetime of scenes) that includes an a particular object. There is some background process for compressing and/or discarding data that is not in view.

[Josh SternModerator]

Non-perceptual relations must be available to describe, in a consistent way (wrt to available data & noticing) how unconnected situations are related to one another in a larger box. Our psycho-scientific theory describes the nature/condition of transitions from one to the other (plane travel, heating, smashing, corporate legal registration or breakup,…)

[Josh SternModerator]

Based on the discussion above, not available linguistic reflection, I think it is important for the architecture to be able to synthesize unique names for persistences in boxes/box locations & ways of transitioning between objects that are connected in the same scene & unconnected scenes. Those are primitive KR elements prior to words.

[Josh SternModerator]

The focus here is basic research rather than applications. However, as noted the other day, the planned approach to CompLang is to use applications as a staircase of test exercises that provide, a way to simultaneously improve, deal with issues, & progress toward valueable goals.

Here I think:

Level 1: In a video game, generate & understand texts that describe the tactics used by a human or computer player to successfully achieve goals.

Level 2: Model & understand text descriptions that fit with YouTube howto videos & similar.

Level 3: Computer Generation of HowTo videos from text description.

Level 4: Generate text & video of mechanical plans to repair a given real world situation.

A lot of different directions are possible. The thought is to pick paths where success can be achieved initially & then inspection can focus on what is harder & new about the next level.

[Author]

Posts