Recent Posts

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21
Support / Re: Help with 7z mupen64plus fz.
« Last post by fzurita on April 20, 2018, 12:21:42 PM »
Ok, do the 7zip or zip work if you launch from inside Mupen64Plus FZ?

Also, can you try this?

Open Mupen64plus FZ and use the home button to leave it running in the background. Start up the game using Arc Browser. Once it fails, go back to Mupen64Plus FZ, go to tools, then "Logcat". Can you post that here?
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Support / Re: Help with 7z mupen64plus fz.
« Last post by Unmecbien on April 20, 2018, 11:52:12 AM »
Hello, my zip and 7z file contains only the game

A movie with 7z file : https://streamable.com/u2btt

idk if u can see the link if u cant send u movie link in mp
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Support / Re: Help with 7z mupen64plus fz.
« Last post by Unmecbien on April 20, 2018, 11:37:24 AM »
Hello, my zip and 7z file contains only the game

A movie with 7z file same for zip : https://streamable.com/u2btt
A movie with same game no compress : https://streamable.com/zhmj0
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Miscellaneous / Re: ARTUR Exmachina
« Last post by Paul on April 20, 2018, 09:29:14 AM »
I'm targeting more of an insect-level intelligence (which I believe is achievable with current technology).  But you correct that curiosity is an absolutely essential element for any autonomous agent.  The agent must have some core motivation to try something different in a recognized context (or try anything at all in a novel context).

Deep Mind (and similar RL implementations) solve this with a diminishing random chance of non-ideal behavior in any given context.  This definitely works, but it has its own problems.  Training requires huge numbers simulations where the agent essentially brute-forces the problem until it reaches a policy that is deemed to be acceptable.  As we recently saw with the Uber self driving car accident, this may not be good enough in situations where human safety is a concern.

My current thinking is that the key to understanding curiosity (which is critical to effectively implement reinforcement learning) requires first understanding emotions.  I recently read an interesting paper by Friedemann Pulvermuller which goes into the relevant biology in nice detail with excellent visualizations.  It appears that emotional flavoring of sensory motor mechanisms is at the core of how the brain establishes a semantic grounding (and thus is a critical part of choosing what actions to take in a given context).
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Theory and Discussion / Re: What is ARTUR?
« Last post by Paul on April 20, 2018, 08:29:01 AM »
I've been quite here on the forum for a while (mainly been active on the Numenta forum).  Thought I would post a progress update.

I spent some time on the Reinforcement Learning problem, and linking it with HTM (which still I believe is the best starting technology for the seed AI).  About this time last year I formalized a strategy, which I described in this thread .  For reference, here is a visualization of that strategy:



I've since discovered a couple of problems with this strategy.

One issue is with the reinforcement TP layer.  The basic problem here is that although the pooling layer creates a representation depicting all expected future rewards/punishments, the result is that the system picks a future motor command with the most reward (skipping required previous motor commands).  I spent some times putting in hacks to get around this, but think I need to tackle the problem from a different angle.

I've been reading neuroscience papers to see if I can get clues from biology.  One interesting paper is Computational Cognitive Neuroscience.  An important clue is this diagram:



The dynamics columns are the key here.  What I have developed so far models only an "integrator" dynamic.  For the reinforcement learning problem, leveraging a "separator" dynamic is necessary.  I've started looking more closely at a thesis paper by Ali Kaan Sungur, who has modeled the basal ganglia and integrated with HTM.

The second issue is that the location signal is kind of a magic box without any description of where it comes from.  For testing, it can be hard-coded, but it needs to be replaced with something generic.  The latest HTM School video introduces the concept of grid cells, which is definitely the correct starting point to solving this problem.  I've also been keeping up with Numenta's work in this area.  Jeff's recent talk at Simons Institute highlights their latest thinking in the current round of research.  The relevant connections:



I've also begun working on a new implementation of HTM in GoLang, which allows for multi-core processing, or distributed processing over a network.  The basic design looks like this:



The basic idea is to integrate a cluster of shards which each process a sub-set of cells or minicolumns in parallel, and assemble their outputs into a completed SDR. This is done by a leveraging a module I'm calling the Sparse Representation Controller (SRC) which takes chunks of a representation and reassembles them:



An SRC acts as a message bus with receivers and transmitters. Shards that need to know complete activation SDRs register as receivers, and related shards register as transmitters to report their output. Once an SRC receives all outputs from transmitting shards, it constructs an activation SDR and transmits it to all registered receivers. Because only the resulting activation SDR is transmitted, the size of traffic within the cluster is small, and most of the processing within a shard can happen in parallel with a relatively small window required for synchronization.

The SRC for Spatial Pooling is a special case, because it needs to coordinate scoring across all shards.  I've called this special SRC the Spatial Pooling Controller (SPC).  The amount of traffic transmitted within a spatial pooling cluster is reduced by having the SP shards only report their top (sparsity * shard count) scores to the SPC. The SPC joins those and clips to just the top (sparsity) minicolumns. It then reports back only those winners which are relevant to each shard for learning.
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Support / Re: Help with 7z mupen64plus fz.
« Last post by fzurita on April 20, 2018, 07:01:03 AM »
I think I see a problem. Do your zip or 7zip files contain files that are not ROMs?
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Support / Re: Help with 7z mupen64plus fz.
« Last post by fzurita on April 20, 2018, 12:20:49 AM »
I just tried it with a zip file and it worked ok. Is the problem only with 7zip?
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Miscellaneous / ARTUR Exmachina
« Last post by Pocky on April 19, 2018, 06:53:01 PM »
The ARTUR project and discussion Paul is working on makes me think of Exmachina. Curiosity was a huge element that drove the AI.
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Support / Re: Help with 7z mupen64plus fz.
« Last post by Unmecbien on April 17, 2018, 02:02:54 PM »
Thx hope u can fix it GL  :)
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Support / Re: Optimization for Galaxy S8
« Last post by fzurita on April 17, 2018, 01:21:39 PM »
Once you have the game open, open up the sidebar, scroll down to controller paks, and switch the controller pak to "Rumble Pak"
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