In OpenCog terms, this sort of result suggests that it might be interesting
to add to the system's goal list, an explicit goal of "Have a lot of
possible future options."....   Essentially what the agents in the paper
are doing is maximizing the number of available options, it seems...

-- Ben G

On Mon, Apr 22, 2013 at 2:16 PM, Laurent <[email protected]> wrote:

> If you are interested in entropy maximization over future histories and
> AGI to define an optimal scientist, you will probably be interested in this
> paper:
> http://link.springer.com/chapter/10.1007%2F978-3-642-24412-4_28
> and the pdf can be found here:
>
> http://www.agroparistech.fr/mmip/maths/laurent_orseau/papers/orseau-ALT-2011-knowledge-seeking.pdf
>
> Laurent
>
>
> On Sun, Apr 21, 2013 at 3:19 PM, martin biehl <[email protected]> wrote:
>
>> Another information theoretic principle with capabilities possibly
>> similar to the ones in the paper is empowerment. It can for example also
>> make poles swing up:
>> http://www.worldscientific.com/doi/abs/10.1142/S0219525912500798 (sorry
>> for not providing an open link, if you are willing to wait a day or so, I
>> can get it for you, just mail me).
>> Empowerment also depends on the possible futures of a state, but on top
>> of that on control over these futures ( here is an open access paper on it
>> http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0004018
>> )
>>
>> Thanks Robert for posting this, it is a very interesting paper. Also this
>> came just when I was thinking about quitting my lurking on this list.
>>
>> Disclaimer: I work with the authors of the papers above. If you are
>> interested here is some related work by other people (you guys all know
>> Schmidthuber and Ben mentioned him so he is not in the list) I don't
>> understand Friston, but it always sounds great.
>>
>> *
>>
>> Karl Friston (2012)
>>
>> A Free Energy Principle for Biological Systems
>>
>> Entropy, 14, 2100-2121; doi:10.3390/e14112100
>>
>> Georg Martius, Ralf Der, Nihat Ay (2013)
>>
>> Information driven self-organization of complex robotic behaviors
>>
>> http://arxiv.org/abs/1301.7473
>>
>> Susanne Still, David A. Sivak, Anthony J. Bell, and Gavin E. Crooks (2012)
>>
>> Thermodynamics of Prediction
>>
>> Phys. Rev. Lett. 109, 120604.
>>
>>  Naftali Tishby, Daniel Polani (2011)
>>
>> Information Theory of Decisions and Actions
>>
>> In: Perception-Action Cycle, Springer Series in Cognitive and Neural
>> Systems, pp 601-636.
>>
>> *
>>
>>
>>
>>
>>
>>
>>
>> 2013/4/21 Tim Tyler <[email protected]>
>>
>>>  On 21/04/2013 00:53, Giovanni Santostasi wrote:
>>>
>>>  But here it is claimed that intelligent behavior is associated with entropy
>>> maximization over histories not minimization. What is going on?
>>>
>>>
>>> Roderick Dewar claims to derive more general versions of Prigogine’s
>>> principle of minimum entropy production from MaxEnt here:
>>>
>>> Maximum entropy production and the fluctuation theorem - R C Dewar
>>>
>>>  - http://www.swarmagents.cn/thesis/doc/jake_210.pdf
>>>
>>> He claims this reproduces Prigogine’s principle without the usual
>>> near-equilibrium assumption.
>>>
>>> Maximum entropy production is much bigger than Prigogine's ideas.
>>>
>>> --
>>> __________
>>>  |im |yler  http://timtyler.org/  [email protected]  Remove lock to reply.
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-- 
Ben Goertzel, PhD
http://goertzel.org

"My humanity is a constant self-overcoming" -- Friedrich Nietzsche



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