right on, a thesis :) Btw, is "diploma thesis" ever used?
On Wed, Dec 4, 2013 at 11:15 PM, Ian Danforth <[email protected]>wrote: > Diploma? Do you perhaps mean "Thesis?" or "Dissertation?" > > Ian > > > On Wed, Dec 4, 2013 at 2:13 PM, Marek Otahal <[email protected]> wrote: > >> hi fellow neurohackers ;) >> >> ...maybe you could see that coming, I'm working on my diploma on "ALife >> agents' Behavior with HTM/CLA - NuPIC"; >> From my schedule, I'm nearing what I(more like we) could have done >> programming-wise, and I'm writing my text now. I am posting the outline >> here, would be glad if you could give it a thought and let me know: >> -some comments/suggestions on the structure/ordering? >> -some topics I definitely must not miss out >> -code, benchmarks,pictures,demos, videos are always welcome! >> -anything else I'm missing, doin' wrong? >> >> Please try to keep it to the Requirements which I'm bound to focus on. >> >> This help is really appretiated! >> >> Thanks a ton, >> Forever yours, breznak ;) >> >> PS: forgive the scarcity and cryptic sentences, it's just my notes to >> "kick in the thought.." >> >> >> >> ===Architecture of Autonomous Agent Based on Cortical Learning >> Algorithms=== >> >> Instructions & requirements: >> *) Study the fundamental principles of Cortical Learning Algorithms (CLA) >> inspired by mammalian brain. >> *) Modify these algorithms to be able to produce also behaviour, aside of >> learning. >> *) Implement CLA (or augment a current implementation) with ability to >> produce behaviour. This >> implementation should support Robotic Operating System (ROS) >> communication and should be as domain >> independent as possible. >> *) Compare the efficiency of resulting learning and behaviour of agent >> controlled by this modification of >> CLA with another today used learning and decision making techniques. >> >> ======================== >> Abstract >> >> Intro >> >> Principles of mind & brains: >> -intro >> -approaches >> --neurolevel - LIF, Hodg-Huxley, BlueBrain initiative, .., >> POV-synapses/neurons/reqions/knowledge >> --psychological - memories, emotions, un/supervised learning >> --computional & hw - assumptions, domains, simplifications, HW >> (memristor), processing power exp.. >> --philosophical - what are memories, can machines think?/learn?/sense?, >> how do we learn, perceive? >> --future prognosis - AI domains conquered, being tackeled, still miles >> away; IBM/Watson, (big)data-mining, memristors, >> >> Theory of HTM/CLA >> (resources mostly Whitepaper, OnIntelligence, ML, videos, Fergal's blog) >> -SDR >> -CLA region >> --column,cell,synapse >> --SP >> --TP >> -HTM >> --links >> >> Producing behavior: >> (resources mostly Vitku, Kadlec, psychology) >> -action learning - sensomotory behav - SDR-pattern-matching, compare with >> planning (LISP) >> -memory - short term, long term, compare with other AI approaches to >> achieve that (LTST-Mem), HTM sequences, ?Q "how are memories stored in >> brain?", neuron fields, deepnets >> -emotions! - goal, drive, implementations (low level hardcoded), >> -forgetting - automatic in CLA region, missing values, outliners, >> -attention - anomaly detection! - "staring at crippled ppl", >> -abstraction >> -high level concepts >> -language - CEPT, current SotA >> >> Implemention of CLA - NuPIC >> (resources ML, community) >> -my former experiments (htm java) >> -why i ended up with NuPIC: >> --comunity >> --history >> --implementations - other htm/cla-like projects >> --projects! - hackatlons, all the cool stuff ppl do! >> --ROS! - impl, connection to other research >> --domain indipendence! - encoders, parameters (swarming), areas of what >> can be done (see projects), what is problematic/incomplete currently >> --things left TODO -hierarchy,vision domain, strip down impl, >> --tools - swarming, cerebro, serialization, benchmarking, VMs >> >> Compare efficiency of CLA-based learning and behavior with another AI >> technique used for that matter >> (help, any practical benchmarks??) >> -RL, NN, SOM, RNN, prerequisite&effect based programming(LISP), >> -benchmarks - CLA resistance to noise (SDRs) >> - sequences >> - ability to generate behav in a natural sense >> -where is CLA ruling at the time? >> -where is it losing? >> >> Conclusion >> -what has been achieved >> -what's left >> -possible future research directions >> >> Appendix A - Demos >> "a (theoretical) proof-of-concept examples to sections above" >> >> >> >> -- >> Marek Otahal :o) >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > -- Marek Otahal :o)
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