Yes, that would be a meaningful experiment to start with, though obviously not a substitute for an experiment that gauges the integrated information of the dynamics more broadly...
On Fri, Jun 16, 2017 at 12:54 AM, Matt Ikle <[email protected]> wrote: > Hi Ben, > > I've been thinking a lot about how to actually create experiments for > connecting ECAN with Phi. > > It seems to me that a simple pre-experiment we could run builds upon the > insecticide experiment as follows. We could load the insecticide experiment > background knowledge and then stimulate the atoms for poison and insects > just as before. We can track STI values for these three atoms over time and > calculate IIT time series values from the STI time series values. To do this > means making only some minor modifications to the practical_phi toolbox > Matlab code to find IIT. > > We may even be able to, though I am more unsure about this, build upon this > simple experiment to detect attractor formations within ECAN dynamics prior > to looking at the larger ECAN dynamics using PLSI to reduce the space. > > Just trying to create a simple first set of experiments. Thoughts? > > --matt > > Sent from my iPhone > > On May 23, 2017, at 10:18 AM, Ben Goertzel <[email protected]> wrote: > > Yes, agreed... > > On May 24, 2017 00:15, "Matthew Ikle" <[email protected]> wrote: >> >> Yes all of this makes a lot of sense and could be exciting, especially the >> connection to Phi. Could be an extremely interesting paper — but a lot will >> depend upon parameter tuning as well as creating an appropriate experiment. >> >> Before we begin setting up the experiment to look for connections between >> Phi and strange attractor structure, though, we obviously must first ensure >> basic ECAN implementation as follows: >> >> Step 1: Ensure that ECAN works correctly and fulfills basic design >> criteria; >> Step 2: Run poison experiment and retune parameters. >> >> I feel confident that after Misgana makes the minor changes we discussed >> in HK, ECAN should work correctly. Only after we have run through the two >> steps above, though. should we proceed with the next (IIT) step and perform >> additional parameter tuning. >> >> At some point (probably after all of the above), we should also enable >> HebbianLink updating and run experiments testing the three updating >> equations we have developed and setting the stage for yet another set of >> parameter tuning. >> >> —matt >> >> > On May 23, 2017, at 3:52 AM, Ben Goertzel <[email protected]> wrote: >> > >> > Matt, >> > >> > Thinking about how to analyze time-series data from ECAN, I thought it >> > might be cool to look for interactions between IIT (Phi) and strange >> > attractor structure in the attentional focus... >> > >> > I found this code which lets us analyze data using Integrated >> > Information Theory (Tononi's Phi) >> > >> > https://figshare.com/articles/phi_toolbox_zip/3203326 >> > >> > This has gotten some acceptance as a "measure of consciousness", so if >> > we could show that some ECAN parameters or aspects correlate with >> > "degree of consciousness" as measured by Phi, this would let us >> > publish a wizzy and popular paper.... For instance, what if the >> > system was more conscious (higher Phi) when it connected a sentence >> > with background knowledge, than when it parsed a sentence but was >> > unable to connect it with background knowledge... >> > >> > >> > On the other hand, another interesting thing to do would be to look at >> > a delay-embedding of the dynamics... >> > >> > Long ago I used the TISEAN toolkit for nonlinear time series analysis >> > >> > What I am thinking here is: If we are loading in Atoms from a bunch of >> > texts, we could run PLSI or similar (latent semantic indexing) on the >> > texts (Eyob could help with that, he's a master of PLSI), to create a >> > dimensional space. At any moment in time, the WordNodes and named >> > ConceptNodes in the AttentionalFocus would then assign the AF a >> > certain point in the dimensional space defined by the PLSI factors. >> > >> > This would turn the AF into a trajectory in n-dimensional space... >> > >> > One could then use some approach to figure out the optimal delay and >> > do a delay-embedding of this trajectory, hopefully revealing the >> > underlying attractor structure... >> > >> > TISEAN seems only to do delay embedding from 1D time series >> > >> > https://www.pks.mpg.de/~tisean/Tisean_3.0.1/index.html >> > >> > but there are papers explaining how to do it from multi-D time series >> > >> > https://arxiv.org/pdf/nlin/0609029.pdf >> > >> > https://arxiv.org/pdf/1409.5974.pdf >> > >> > Showing that the AF contents occupy a certain strange attractor -- >> > maybe shifting which strange attractor over time, or shifting the >> > shape of the strange attractor over time, would be interesting >> > >> > Some association between the Phi (IIT) value and some property of the >> > inferred attractor would also be interesting... >> > >> > -- Ben >> > >> > >> > >> > >> > -- >> > Ben Goertzel, PhD >> > http://goertzel.org >> > >> > "I am God! I am nothing, I'm play, I am freedom, I am life. I am the >> > boundary, I am the peak." -- Alexander Scriabin >> > -- Ben Goertzel, PhD http://goertzel.org "I am God! I am nothing, I'm play, I am freedom, I am life. I am the boundary, I am the peak." -- Alexander Scriabin -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CACYTDBcGz%3DQ%2BYDtpQ_dB5urLpU%2BKYBd8b5Xbz0seL%3D8vtBGYNA%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
