Starting (somewhat arbitrarily) from the Finnish Artificial Intelligence Conference 1998 (STeP’98) in Jyväskylä, there are the following three
papers in the proceedings book “Human and Artificial Information Processing”, edited by P. Koikkalainen and S. Puuronen:
The theme of the year 2000 Finnish Artificial Intelligence Conference in Espoo was “Millennium of Artificial Intelligence”, and the
proceedings was edited by H. Hyötyniemi:
The year 2002 Finnish Artificial Intelligence Conference (STeP’02) was held in Oulu. The editors of the proceedings
“Intelligence, The Art of Natural and Artificial” were P. Ala-Siuru and S. Kaski:
The new science of neocybernetics was officially introduced at the
Finnish Artificial Intelligence Conference, Sep. 1–3, 2004 (STeP’04), in Helsinki.
The basic material is presented in the following STeP papers:
- The basic intuitions are presented in
“Cybernetics: Towards a Unified Theory?”
(Proc. STeP’04, Vol. 1). It is shown how concrete analyses of a Hebbian neuron grid can offer intuitions on how
distributed systems can coordinate themselves in general.
- More general views of how a cybernetic system is connected to its environment and what kind of universal properties it has
is explained in “Information and Entropy in Cybernetic Systems”
(Proc. STeP’04, electronic version). The concepts of entropy and information offer a good framework for understanding
the properties of such systems.
- In “Higher-Order Balances: Unifying Views of Data?”
(Proc. STeP’04, Vol. 1) it is explained what kind of consequences there are on observation data when a system being observed
is cybernetic; it is also shown how a neuron can constitute the atom of semantics in mental representations.
- The cybernetic networks are studied in
“Cybernetics in Analysis and Synthesis of
Networked Systems” (Proc. STeP’04, Vol. 3). Often, the dependencies are multiplicative – such probabilistic networks can be also studied
in the same framework, resulting in non-strictly-power-law distributions.
- As a concrete application example, in “Emergent Coordination
in Distributed Sensor Networks”
(Proc. STeP’04, Vol. 2) it is shown how the cybernetic intuitions can be applied in a distributed agent system – so that
distribution brings some real added value that cannot be predicted applying centralized approaches.
- The above studies concentrated on populations – but the balances can also be based on constraints, so that the emergent models
are based on the remaining degrees of freedom. In “Cybernetic Intuitions in Control Engineering”
(Proc. STeP’04, electronic version) these approaches are applied to complex process optimization.
- The homeostatic balance within a cell is an extreme example of constraints-governed systems. The processes of life
(metabolic and genetic) are discussed in
“Processes of Life: Towards a Unified Model?”
(Proc. STeP’04, Vol. 1). It may turn out that even the questions concerning the origin of life can be studied from a
fresh point of view.
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