=Paper=
{{Paper
|id=Vol-1660/invited3
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1660/invited3.pdf
|volume=Vol-1660
|dblpUrl=https://dblp.org/rec/conf/fois/Georgeon16
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1660/invited3.pdf</pdf>
<pre>
     From events to objects: investigating
       Alfred N. Whitehead’s process of
      abstraction in artificial intelligence
                               Olivier L. GEORGEON a,1
        a Université Claude Bernard, Lyon 1, CNRS, LIRIS, UMR5205, France



           Abstract. In 1920, the mathematician and philosopher Alfred North Whitehead ar-
           gued: “If we are to look for substance anywhere, I should find it in events which are
           in some sense the ultimate substance of nature” (Whitehead 1920, ‘The concept of
           nature’, p19). Whitehead called process of abstraction the process by which cog-
           nitive beings infer the existence of objects from regularities of events. The White-
           headian process of abstraction precedes the distinction between the subject and the
           object. It is not intellectual but instinctive and immediate: objects are abstracted
           but do not require judgment nor intellectual synthesis. We design algorithms for
           artificial agents to perform Whiteheadian abstraction. In addressing this issue, we
           investigate the components (sensorimotor schemes, hierarchical sequence learning,
           spatial memory, ontologies) that need to be implemented to realize this process.
           This led us to create agents capable of rudimentary self-programming (an important
           feature for achieving constitutive autonomy) through “sedimentation of habitudes”.
           I will present demos that show that these agents exhibit some level of intelligence
           and self-motivation in their behaviors.




1 e-mail: olivier.georgeon@liris.cnrs.fr

</pre>