AI and Creativity
So I just read an article stating that AI is nowhere near supplanting artists due to computers inability to “decide what is relevant”. I think that might be giving us AI researchers too much credit or going too soft on us. We have yet to develop non-noisy inputs in order to simulate the emotional and non-functional aspects of the brain. The closest we could get is to teach a computer based off of an FMRI of the brain while experiencing art/music etc. Somewhat simpler is being able to recognize emotions and correlate what is happening with that emotion. That is even more difficult. That is when we are at the point that the machine can put itself in “another’s shoes,” as it were. That is at an entirely different level than where we are at now. So, I don’t disagree with the author, I just think that she is just scratching the surface of what AI is unable to do currently, especially in a general, non-lab setting. However, I believe given better inputs (and of course better algorithms) that machines may develop human like emotions and ability to simulate others situations and thus develop a connection and be inspired to create art. But, I’m pretty sure that won’t happen in my time :(.
http://www.technologyreview.com/view/542281/artificial-creativity/
MAS Reading group paper
Lentils Recipe
Lentils recipe I came up with:
- cooked lentils
- herb rice
- orange chicken
- cooked broccoli
- seared pear (cooked with oil and honey alongside cashews and pecans)
- Seasoned with cinnamon, very little nutmeg, and curry.
Haven’t tried it yet but will next week hopefully. High in fiber, protein and vitamin C.
Politics and MAS
Politics seems like a good real world example of the multi-agent inverse problem and trying to get agents to coordinate at a massive (country) scale. Basically the multi-agent inverse problem is determining rules and behaviors at the low level that achieve a higher level objective. This problem is made more difficult because the low level behaviors of agents interact with each other causing possibly unexpected emergent behavior.
Another thing that politics has is hierarchies…
Mainly this was prompted by the article on laws that pertain to the constitution and how they are interpreted.
Puzzle Space
I wonder what the space of problems that we consider puzzles is like. I mean how big is it? What characteristics in general do they have? Does computational complexity correspond to how difficult the puzzle is? Puzzles usually require some degree of logic. So, I’d imagine that puzzles that are most difficult correspond to those that have you solve NP-hard problems without you realizing it. Can we use a language that describes puzzles in general, like maybe some form of logic, and then we can maybe automatically generate puzzles. Interesting especially when you consider multi-agent puzzles.
task resources
I think that I might talk a bit about:
Paper for reading group
MAS Reading Group
I’m starting a Multiagent systems reading group at GMU. We intend to meet once a week on Tuesdays at 4:30 in ENGR 4437. We go over papers we have read giving ~5min overviews and discussing and asking questions and/or critiquing them. The presenters will post links to their papers and maybe a bit about our discussions in the category MAS Reading Group.
Sun based internet
I was just reading about LiFi and I was wondering why not just create window attachments that produce the same effect? Then you can use the sunlight instead and the window can modulate the light to achieve the same effect as the LiFi. Then both the lifi bulbs and the windows could work together to achieve optimal coverage.
So, this method only makes sunlight a medium for information to be encoded onto. Therefore, device to device communication still requires an LED. The main interest for using sunlight is to allow for regular internet access.
On a grander scale could we modulate earth’s atmosphere to essentially just be a bigger window so that we give internet to everyone on earth through sunlight? That sounds like an XKCD comic haha :).