%0 Book Section %1 Brezocnik:2002:DAAAM %A Brezocnik, Miran %B DAAAM International Scientific Book 2002 %C Vienna %D 2002 %E Katalinic, Branko %I DAAAM International %K algorithms, artificial computation, emergence evolutionary genetic intelligence, learning, manufacturing programming, systems, %P 39--48 %T On intelligent learning systems for next-generation manufacturing %U http://www.daaam.com/ %V 1 %X In the first part of the paper we analyse the basic scientific and philosophical facts, as well as social circumstances, that have a great impact on manufacturing concepts. Then we propose a shift from the present manufacturing paradigm favouring particularly determinism, rationalism, and top-down organisational principles towards intelligent systems in next-generation manufacturing involving phenomena such as non-determination, emergence, learning, complexity, self-organization, bottom-up organisation, and co-existence with natural environment. In the second part we give two examples from metal forming industry and autonomous intelligent vehicles. Both systems are based on learning and imitate some excellent properties of living systems. The stable global order (i.e. the solution) of each presented system gradually emerges as a result of interactions between basic entities of which the system consists and the environment. %& 6 %@ 3-901509-30-5

@incollection{Brezocnik:2002:DAAAM, abstract = {In the first part of the paper we analyse the basic scientific and philosophical facts, as well as social circumstances, that have a great impact on manufacturing concepts. Then we propose a shift from the present manufacturing paradigm favouring particularly determinism, rationalism, and top-down organisational principles towards intelligent systems in next-generation manufacturing involving phenomena such as non-determination, emergence, learning, complexity, self-organization, bottom-up organisation, and co-existence with natural environment. In the second part we give two examples from metal forming industry and autonomous intelligent vehicles. Both systems are based on learning and imitate some excellent properties of living systems. The stable global order (i.e. the solution) of each presented system gradually emerges as a result of interactions between basic entities of which the system consists and the environment.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Vienna}, author = {Brezocnik, Miran}, biburl = {https://www.bibsonomy.org/bibtex/2724dabf901a10df7b147f63bb206b82a/brazovayeye}, booktitle = {DAAAM International Scientific Book 2002}, chapter = 6, editor = {Katalinic, Branko}, email = {mbrezocnik@uni-mb.si}, interhash = {db3dafb23eb721f6a25be9046a7071a5}, intrahash = {724dabf901a10df7b147f63bb206b82a}, isbn = {3-901509-30-5}, keywords = {algorithms, artificial computation, emergence evolutionary genetic intelligence, learning, manufacturing programming, systems,}, month = {October}, notes = {http://www.daaam.com/daaam/Publications/Publications.htm}, pages = {39--48}, publisher = {DAAAM International}, timestamp = {2008-06-19T17:36:59.000+0200}, title = {On intelligent learning systems for next-generation manufacturing}, url = {http://www.daaam.com/}, volume = 1, year = 2002 }