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)
>
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>
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