I was reading and trying to clear it in my mind of all those concepts of connectionism, behavior-based systems, neural networks, cognitive synthetic psychology and I am not having an easy time.
connectionism is an approach which models behavior phenomena as the emergent processes of interconnected network of units [which are neurons that are connected as synapses at this point].
Neural Networks is the main form of connectionist Model. And what it works from Wikipedia:
1. Any given mental state can be described as a (N)-dimensional vector of numeric activation values over neural units in a network.
2. Memory is created by modifying the strength of the connections between neural units. The connection strengths, or “weights”, are generally represented as a (N×N)-dimensional matrix.
so rethinking what I am trying to do with the final project, I was going to create a system which strengths the connections in itself, ok in what way? What could be better in my scenario? What could my agent do better in time?
It could map the topography of the area it is exploring maybe.
Emergence is the process of complex pattern formation from simpler rules. This can be a dynamic process (occurring over time), such as the evolution of the human brain over thousands of successive generations; or emergence can happen over disparate size scales, such as the interactions between a macroscopic number of neurons producing a human brain capable of thought (even though the constituent neurons are not themselves conscious). For a phenomenon to be termed emergent it should generally be unpredictable from a lower level description. Usually the phenomenon does not exist at all or only in trace amounts at the very lowest level. Thus, a straightforward phenomenon such as the probability of finding a raisin in a slice of cake growing with the portion-size does not generally require a theory of emergence to explain. It may however be profitable to consider the emergence of the texture of the cake as a relatively complex result of the baking process and the mixture of ingredients.
Self-organization refers to a process in which the internal organization of a system, normally an open system, increases automatically without being guided or managed by an outside source. Self-organizing systems typically (though not always) display emergent properties.
I have just checking some sites and come up with this artist doing most of her projects on sound and they are looking really interesting. Briefly, the first one is putting some electrods on a plants leaves and transforming the waves it gets to sound, thus you can see that the plant is exactly giving some physical feedback to the behaviours of the environment. The second project from the same source is called thinking sounds and it seems as interesting as the first one. Briefly It is getting somedata from your brain with the help of the EEG helmet and transforming this data into sounds. Actually funny because I was thinking to do a similar thing in my project in terms of approach. An approach which concsists of the environment of the piece and also joining the audience to this process. I have a metting with luke tomorrow so I hope it all gets better.
The link is here
I am still after that flashing idea which I haven’t reached for Algorithmic Composition midterm project. Actually I was reading Csound Manual the other day and then found myself in the middle of reading the electronic music history. Starting with Richard Boulanger’s interview which is the writer of the Csound Book, then to Max Matthews which is the father of the computer music and the name of the Max part of Max/Msp as I read I got more excited about the whole stuff going on.
I must admit I haven’t understand the great power of Csound until lately. It is basically a great compiler where you can learn from the basics of the synths to the infinite deepness of various of sounds and effects. The time must be invested on this software.
Luke really knows his shit, I feel I am on safe hands :)