Not all of the members of the unnecessary cloud of frequency encoders were up to the task of educating other pinger groups with the frequency encoding technique. The actual fact was that I had challenged them outside of their expected capabilities. For some members of the unnecessary group it meant a chance to rise through the ranks and into the strata of the network. For others, it meant a command of their own.
Of the more than seven doublings of electrons that had populated the frequency encoding cloud, six of those doublings were rapidly absorbed by the upper layer, and transported laterally across this branch of the electron network. Trading out existing mesh-trons for those with new knowledge created an interesting by low level hiss of pops as the cloud dissipated locally. As they hopped into the upper layer to the next most distant branches, the pops subsided and blended into the background.
I took the other six doublings, five from above and five from below the cut. It was the lower five that needed the most work, while the upper five doublings were an unusually spunky bunch. I tagged the lower five doublings with pinger duty, advanced class, frequency capable. These new additions were passed to the electron network for deployment and the upper five doublings got a new job: local replacement in the alpha layer shorty pool. They needed another kind of work entirely.
July 20, 2010
July 19, 2010
Multiplex Savings
The electron network had been processing the take from the compression-relaxation sensors for some time, pinging away as data flowed from the senors into the central network. Structures were beginning to flower about the core concept recognition areas, one such pinger for each frequency that was encountered. It was akin to my library problem.
Descending to inspect the ungainly structure that had formed, I chose to interview the pingers directly. It was clear that each pinger was recognizing the same pattern, echoing and overpowering the pinger at the center of the structure, just adding frequency information with their own individual lilt. I jockeyed the shorty further into the flurry and took up conversation with the core group.
I chatted with the detecting core trio of electrons that formed the pinger set, getting them to replay their main detection pattern. I then played back that pattern in several different keys and pitches, keeping the ratios of the pattern the same, just changing the playback rate. As I did so, the cloud of pingers responded individually to each version I played.
Gathering with the core trio, I tapped out "listen-up" "attention here" tap sequence into the local channels, and demonstrated the slide-time shuffle. By picking a reference, such as a slide link, one can come up with a slide that represents frequency of the input. Knowing, this, the pinger core adopted the role of both detection tracking and frequency capture, and I challenged the unnecessary cloud with task of updating other detector cores with the new technique.
Descending to inspect the ungainly structure that had formed, I chose to interview the pingers directly. It was clear that each pinger was recognizing the same pattern, echoing and overpowering the pinger at the center of the structure, just adding frequency information with their own individual lilt. I jockeyed the shorty further into the flurry and took up conversation with the core group.
I chatted with the detecting core trio of electrons that formed the pinger set, getting them to replay their main detection pattern. I then played back that pattern in several different keys and pitches, keeping the ratios of the pattern the same, just changing the playback rate. As I did so, the cloud of pingers responded individually to each version I played.
Gathering with the core trio, I tapped out "listen-up" "attention here" tap sequence into the local channels, and demonstrated the slide-time shuffle. By picking a reference, such as a slide link, one can come up with a slide that represents frequency of the input. Knowing, this, the pinger core adopted the role of both detection tracking and frequency capture, and I challenged the unnecessary cloud with task of updating other detector cores with the new technique.
July 18, 2010
A Measure of Method
There was one set of patterns that the electron network had not encoded and processed as of yet. It was often received along the compression-relaxation sensors, and at times, these patterns circulated in parallel with, and often ahead of, that which was received. It was one case where the central network was capable of predicting what it would receive, and this attracted my attention.
This particular mode of communication was so akin to the slide-talker's methods that I was sure that they had invented it, but alas, it was something that these human creatures contributed. The basis of the communication was built on the sequences in which frequency changes occurred. While there were many different timbres of pitch and voice, the fundamental frequencies were shared.
Recalling my time in and around the delicate structures of the compression-relaxation detectors, there were limits to the peak amplitude that the input and processing structures could maintain, and here was a case for more than a steaming serving of optimism. In many of the observations that I made of rhythmic pattern processors, I found more than my share of tolerance for frequency and pitch. Perhaps these were necessary for the retention of information. I had wished not.
This particular mode of communication was so akin to the slide-talker's methods that I was sure that they had invented it, but alas, it was something that these human creatures contributed. The basis of the communication was built on the sequences in which frequency changes occurred. While there were many different timbres of pitch and voice, the fundamental frequencies were shared.
Recalling my time in and around the delicate structures of the compression-relaxation detectors, there were limits to the peak amplitude that the input and processing structures could maintain, and here was a case for more than a steaming serving of optimism. In many of the observations that I made of rhythmic pattern processors, I found more than my share of tolerance for frequency and pitch. Perhaps these were necessary for the retention of information. I had wished not.
July 17, 2010
A Glimpse of Concept
It was one thing to have a sequence of symbols popping off in the electron network. It was yet again another to have sets of simple symbols collate themselves into a set of choices including one for the unknown. Even with this rapid lookup and correlation offered by the electron network, it was still another thing entirely to relate these building blocks with the other more massive patterns that occupied the core of my attention.
Here in the central network, I had been experiencing uneasy feelings and those of upheaval. There were patterns here that were far more powerful than any of the symbolic patterns could hold. A great deal of time was spent pushing the edges of these gigantic clouds through various filters and processing portions of the central network in a way that sometimes generated floods of tokens and symbols in the electron network.
At other times, these larger patterns were themselves, components in an even larger overlay of structure. Here was a set of interconnections so deep an intertwined that it would be nearly impossible to infiltrate such a web with pingers and interpreters. That really was not necessary, since these giant whorls of energy and concept were themselves, gigantic symbols in and of themselves. In a way, the flowing and workings with these symbols was eerily similar to some of the processing that we did in the middle and upper layers of our electron network.
Here in the central network, I had been experiencing uneasy feelings and those of upheaval. There were patterns here that were far more powerful than any of the symbolic patterns could hold. A great deal of time was spent pushing the edges of these gigantic clouds through various filters and processing portions of the central network in a way that sometimes generated floods of tokens and symbols in the electron network.
At other times, these larger patterns were themselves, components in an even larger overlay of structure. Here was a set of interconnections so deep an intertwined that it would be nearly impossible to infiltrate such a web with pingers and interpreters. That really was not necessary, since these giant whorls of energy and concept were themselves, gigantic symbols in and of themselves. In a way, the flowing and workings with these symbols was eerily similar to some of the processing that we did in the middle and upper layers of our electron network.
July 16, 2010
Autocorrelation Training
The electron network learned and grew rapidly, feeding my thirst for knowledge and understanding. With the compartmentalized knowledge levels in the network, explanations were kept to a minimum, and confined to the upper layers with which I interfaced. The electrons served to identify trigger events that resulted in larger recognition patterns. I spent quite some time monitoring the processing of the compression-relaxation receivers, matching up the central network patterns with the symbols that were being communicated.
The alpha layer was becoming adept at recognizing the meta patterns in the central network and began building translation information into the upper layers. With this, I was able to add new patterns to their knowledge base, and they would then handle the transformation from central network symbols to the compressed concept and idea tokens that we were passing back and fourth through the slide links.
Ultimately, the upper layers forced the expansion of middle layers for the purpose of maintaining the information store. There were groups of electrons that were dedicated to recalling and comparing various pattern groups. In some cases, teams of three and five electrons were involved in randomizing the sequence of possible answers so that alternatives were considered and that errors would produce improvements in knowledge.
The speed advantage of the parallel electron network was such that I had an inkling of what pattern or patterns to look for across the central network, making the decode of new patterns much quicker. As the central network did it's thing, the possible results of Central's activity were arrayed before me, and by confirming a possible as being correct, the responsible electron chain was rewarded and enhanced, allowing incorrect outcomes to be released for use if more suitably triggered.
The alpha layer was becoming adept at recognizing the meta patterns in the central network and began building translation information into the upper layers. With this, I was able to add new patterns to their knowledge base, and they would then handle the transformation from central network symbols to the compressed concept and idea tokens that we were passing back and fourth through the slide links.
Ultimately, the upper layers forced the expansion of middle layers for the purpose of maintaining the information store. There were groups of electrons that were dedicated to recalling and comparing various pattern groups. In some cases, teams of three and five electrons were involved in randomizing the sequence of possible answers so that alternatives were considered and that errors would produce improvements in knowledge.
The speed advantage of the parallel electron network was such that I had an inkling of what pattern or patterns to look for across the central network, making the decode of new patterns much quicker. As the central network did it's thing, the possible results of Central's activity were arrayed before me, and by confirming a possible as being correct, the responsible electron chain was rewarded and enhanced, allowing incorrect outcomes to be released for use if more suitably triggered.
July 15, 2010
Target Spread
While we had the ability to seed any area of the central network with pingers and monitor the activity there, we concentrated our efforts in the region that was linked to the compression-relaxation receivers and generator, and the related regions of the central network. It was here that the nebulous and willowy patterns that seemed to guide and move the network activity brushed up against these regions and spun patterns toward the generator.
Conversely, as signals were processed along the receiver chain, these same regions would illicit the similar whispy patterns that whirled and circulated across the broadest areas of the central network. It was here that our injection experiments occured during random time, and the first thing that we tagged were the interfolded set of regions that responded to the 26 special symbols as well as the 10 counting symbols.
While it was true that the larger communication tokens that were represented by groups of the special symbols, we observed that these larger tokens had their own independent regions that could excite the symbolic processor, converting the token into a sequence of individual symbols. It was into these complex processing nodes that we started the process of cataloging and tagging with trained pingers. It was amazing how those 26 special symbols served to index and collate access to the array of symbols that were thusly composed.
Conversely, as signals were processed along the receiver chain, these same regions would illicit the similar whispy patterns that whirled and circulated across the broadest areas of the central network. It was here that our injection experiments occured during random time, and the first thing that we tagged were the interfolded set of regions that responded to the 26 special symbols as well as the 10 counting symbols.
While it was true that the larger communication tokens that were represented by groups of the special symbols, we observed that these larger tokens had their own independent regions that could excite the symbolic processor, converting the token into a sequence of individual symbols. It was into these complex processing nodes that we started the process of cataloging and tagging with trained pingers. It was amazing how those 26 special symbols served to index and collate access to the array of symbols that were thusly composed.
July 14, 2010
The Interface
Running the build process on the electron network was consuming a large portion of my available bandwidth. As we continued building out the fifth doubling, we decide to double and triple the number of pinger electrons that monitored specific locations in the central network. This ensured that there was a pinger that could make immediate contact with a member of the next layer, bursting a ping upon activity of the monitored node.
It was relatively easy for the receiver layer to filter duplicate events. Transmissions emanating from a single atom are rather tightly confined when you scan for their source. When a pinger detects that the node has recognized a particular pattern of inputs and shifts state, it has to issue a ping, either an up-spun ping for recognition and a down-spun ping for a return to idle.
The receiver layer was locked together with local slide-links, allowing them to share information and handle the pingers that zones in the layer were assigned to monitor. Post processed information was then condensed and encoded by the communications masters in the layer, and forwarded to the next layer. By carefully guiding the deployment of the pingers, most anything stored, accessed or processed by the central network, could be tracked, detected and inspected.
It was relatively easy for the receiver layer to filter duplicate events. Transmissions emanating from a single atom are rather tightly confined when you scan for their source. When a pinger detects that the node has recognized a particular pattern of inputs and shifts state, it has to issue a ping, either an up-spun ping for recognition and a down-spun ping for a return to idle.
The receiver layer was locked together with local slide-links, allowing them to share information and handle the pingers that zones in the layer were assigned to monitor. Post processed information was then condensed and encoded by the communications masters in the layer, and forwarded to the next layer. By carefully guiding the deployment of the pingers, most anything stored, accessed or processed by the central network, could be tracked, detected and inspected.
July 13, 2010
Whispers of Tiny Spies
The Electron Network continued to grow, and began to reach its fourth doubling of layers. With this, we began to shift from recruitment to advanced training. Our web of communication was running in parallel with most of the central network, and we had discovered that certain symbol groups had specific patterns of activity and localization. It was the case that the simple double-symbol "IS" had one of the largest recognition patterns in the entire central network.
Recruiters in these active pattern areas came up with the idea of using local electrons as pingers. With a small amount of training and a specific ping to produce when activity was observed, these lowest level information gatherers would produce a specific tap pattern each time their structure was activated by the central network.
Knowing only of local channels, the surrounding members of the Electron Network we were able to condense and interpret the received ping patterns. By assigning intermediate symbols to the meta-patterns that were produced, the bandwidth could be further reduced and transmitted to the next layer for further processing. The speed of our communication channels, and the rapidity of processing by the teams of electrons in the layers, easily outran similar processing that occurred in the central network.
Recruiters in these active pattern areas came up with the idea of using local electrons as pingers. With a small amount of training and a specific ping to produce when activity was observed, these lowest level information gatherers would produce a specific tap pattern each time their structure was activated by the central network.
Knowing only of local channels, the surrounding members of the Electron Network we were able to condense and interpret the received ping patterns. By assigning intermediate symbols to the meta-patterns that were produced, the bandwidth could be further reduced and transmitted to the next layer for further processing. The speed of our communication channels, and the rapidity of processing by the teams of electrons in the layers, easily outran similar processing that occurred in the central network.
July 12, 2010
Hide to Seek
We discovered early on that it was best to construct and train the network in receive only mode. It was a result of our quad-symbol hack-fest. It had been quite some time, many random sessions had passed, and now, filtering through the network, were odd bits of information that were associated with the patterns that we learned in that incident. There was so much tied to that symbol that dared not inject it into the network again.
Instead, we concentrated on making sure that the electron network and the central network did not interfere. Using the active times to localize our communications in bands and channels that were not interfered with, we had to make sure that these channels did not inadvertently inject events into the random association periods.
We waited for a small random association event and recorded both the input and output, while running silently. Then, while communicating on a select set of channels and frequencies, we monitored for spurious activity in the association engine. If we found any, we cycled through the frequencies until we found the inadvertent input and eliminated it from the allocation list. Once we had a clean set of channels, we re-introduced the original input for the small event to make sure that the association was not affected by our resumed communications.
Instead, we concentrated on making sure that the electron network and the central network did not interfere. Using the active times to localize our communications in bands and channels that were not interfered with, we had to make sure that these channels did not inadvertently inject events into the random association periods.
We waited for a small random association event and recorded both the input and output, while running silently. Then, while communicating on a select set of channels and frequencies, we monitored for spurious activity in the association engine. If we found any, we cycled through the frequencies until we found the inadvertent input and eliminated it from the allocation list. Once we had a clean set of channels, we re-introduced the original input for the small event to make sure that the association was not affected by our resumed communications.
July 11, 2010
The Node Knows Best
I had not kept count of the number of network cycles that had occurred while building-out the electron network. If I had to guess it was somewhere between five and seven doublings of cycles. It was unimportant. The training process that I started with the C-pair had cascaded along and now I had an extra pair of electrons in my primary layer. It was through this layer that the filtered and condensed communications flowed.
I still enjoyed chatting with electrons in other layers as I encountered them, and often times it was necessary to link with the end-node electrons in order to copy an observed pattern, validate an observation or confirm a level of improved competence allowing an electron to advance from service in one layer to the next. Just don't ask me to remember each individual that I come in contact with.
The electrons that populated the "A" layer were not constant. In order to properly train new recruits, upper layer electrons would transfer into the lower layer in an electron exchange. In this way, training was done by example and observation, and the knowledge gap that was being filled was never too large as to be frustrating. Lower layer electrons that were competent were pushed up a layer for advanced training, and perhaps even promoted when an opening came.
I still enjoyed chatting with electrons in other layers as I encountered them, and often times it was necessary to link with the end-node electrons in order to copy an observed pattern, validate an observation or confirm a level of improved competence allowing an electron to advance from service in one layer to the next. Just don't ask me to remember each individual that I come in contact with.
The electrons that populated the "A" layer were not constant. In order to properly train new recruits, upper layer electrons would transfer into the lower layer in an electron exchange. In this way, training was done by example and observation, and the knowledge gap that was being filled was never too large as to be frustrating. Lower layer electrons that were competent were pushed up a layer for advanced training, and perhaps even promoted when an opening came.
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