Laurent,

This & other papers in this thread are interesting in that they show a movement 
towards a more positive , *creative* kind of agent.

“We believe such agents (or their computational variants) should turn out
to be useful to humanity in a dierent way than RL agents, since they should
constantly be creative and solve interesting problems that we may not yet know.”

I esp welcome “creative” because that is what AGI is about. Any other people in 
this or related fields thinking similarly? There does seem to be a definite 
trend here.

What needs to be recognized though is that a creative machine represents an 
entirely different and opposed culture to that of rationality. For example, the 
whole of science would love to know what “optimal learning/discovery” 
constitutes in the real scientific world. 

Actually, there is no such thing as “optimality” in creative endeavours. What’s 
the optimal painting of a Madonna, or the optimal scientific discovery of the 
brain’s workings, or the optimal AGI machine?  “Optimality” belongs to the 
rational world where you compute/calculate right answers – a monistic as 
opposed to a pluralistic culture.

From: Laurent 
Sent: Monday, April 22, 2013 7:16 AM
To: AGI 
Subject: Re: [agi] Causal Entropic Forces

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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