eprintid: 15452
rev_number: 17
eprint_status: archive
userid: 466
dir: disk0/00/01/54/52
datestamp: 2013-08-21 14:05:15
lastmod: 2024-03-11 05:38:21
status_changed: 2013-08-21 14:05:15
type: article
metadata_visibility: show
creators_name: Schmid, Ute
creators_name: Funke, Joachim et al.
title: The challenge of complexity for cognitive systems
subjects: ddc-150
divisions: i-100200
abstract: Complex cognition addresses research on (a) high-level cognitive processes – mainly problem solving, reasoning, and decision making – and their interaction with more basic processes such as perception, learning, motivation and emotion and (b) cognitive processes which take place in a complex, typically dynamic, environment. Our focus is on AI systems and cognitive models dealing with complexity and
on psychological findings which can inspire or challenge cognitive systems research. In this overview we first motivate why we have to go beyond models for rather simple cognitive processes and reductionist experiments. Afterwards, we give a characterization of complexity from our perspective. We introduce the triad of cognitive science methods – analytical, empirical, and engineering methods – which in our opinion have all to be utilized to tackle complex cognition. Afterwards we highlight three aspects of complex cognition – complex problem solving, dynamic decision making, and learning of concepts, skills and strategies. We conclude with some reflections about and challenges for future research.
date: 2011
id_scheme: DOI
schriftenreihe_cluster_id: sr-1
schriftenreihe_order: 140
ppn_swb: 1652987339
own_urn: urn:nbn:de:bsz:16-heidok-154523
language: eng
bibsort: SCHMIDUTETHECHALLEN2011
full_text_status: public
publication: Cognitive systems research
volume: 12
number: 3-4
pagerange: 211-218
citation:   Schmid, Ute ; Funke, Joachim et al.  (2011) The challenge of complexity for cognitive systems.  Cognitive systems research, 12 (3-4).  pp. 211-218.      
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/15452/1/Schmid_etal_2011_CognSystemsRes.pdf