Skip to main content

Intrinsically Motivated Systems

Abstract:

Motivation is a very complex psychological behavior arising out of ones current physiological and psychological state of affairs. Motivation in humans is always associated or studied with incentive theories. As per human psychology, our intrinsic motivation factors are centered around intrinsic rewards which are considered critical for the development of cognitive intelligence. In that case, can an artificially learning machine be motivated to develop cognitive intelligence? What are the factors that would lead a machine learning system to motivate itself intrinsically? This paper discusses some of these question based on the latest research work carried out in the fields of development psychology, active learning, neuroscience, adaptive curiosity et. al., and see how this can be applied to our context of developing intrinsically motivated systems.

Awaiting session recording. Will post it soon.
Labels:

Comments

Post a Comment

Popular posts from this blog

Just Buzz... Where is AI?

Speaking to Recode’s Kara Swisher and MSNBC’s Ari Melber, Pichai said AI is “one of the most important things that humanity is working on. It’s more profound than, I don’t know, electricity or fire,” adding that people learned to harness fire for the benefits of humanity, but also needed to overcome its downsides, too. Pichai also said that AI could be used to help solve climate change issues, or to cure cancer. We are seeing some exciting things in the industry, Samsung’s massive 8K TVs apparently use AI to upscale lower resolution images for the big screen. Sony has created a new version of the Aibo robot dog, which this time promises more artificial intelligence. Travelmate’s robot suitcase will use AI to drive around and follow its owner wherever they go.  Kohler has invented Numi, a toilet that has Amazon’s Alexa voice assistant built in etc., But despite all this, it does leave me wondering: is artificial intelligence really what we should be calling this revolution?...
1 comment
Read more

Building Hanlon Micro-Kernel (MK)

I am posting a quick cookbook on creating hanlon microkernel for easy reference. Detailed information on how the microkernel organized and build along with details on each of the command listed here can be found on git hanlon microkernel wiki   1. Install dependencies sudo apt-get install squashfs-tools -y sudo apt-get install -y fakeroot sudo apt-get install p7zip-full -y sudo apt-get install curl -y   2. Install Ruby (I prefer using rvm) \curl -sSL https://get.rvm.io | bash -s stable --ruby source /home/user/.rvm/scripts/rvm   3. Clone hanlon micro-kernel project into your working directory (my directory ~/wspace/hanlon/hanlon-mk) cd mkdir wspace mkdir hanlon git clone hanlon-mk cd hanlon-mk   4. Clone hanlon micro-kernel project into your working directory (my directory ~/wspace/hanlon/hanlon-mk) cd mkdir wspace mkdir hanlon git clone hanlon-mk   5. Create bundle file: This would create a temporary tar file containing all necessary ...
Post a Comment
Read more

AI - Intelligence is getting Hybrid

Cooperative learning among networks will lead to hybrid intelligence Neural networks will evolve from monolithic to distributed co-operative/competitive models. Coupled with evolving neural-fuzzy and generic fuzzy algorithms — reinforced learning models that are more adaptive to the environment and context (i.e., too noisy and time-varying systems) — these neural networks will evolve into hybrid intelligent systems that integrate different learning and adaptation techniques to overcome individual limitations
Post a Comment
Read more