Editing Cognitive model (section)

==Relationship to cognitive architectures==
Cognitive models can be developed within or without a [[cognitive architecture]], though the two are not always easily distinguishable. In contrast to cognitive architectures, cognitive models tend to be focused on a single cognitive phenomenon or process (e.g., list learning), how two or more processes interact (e.g., visual search and decision making), or making behavioral predictions for a specific task or tool (e.g., how instituting a new software package will affect productivity). Cognitive architectures tend to be focused on the structural properties of the modeled system, and help constrain the development of cognitive models within the architecture.<ref>{{Cite book|last=Lieto|first=Antonio|title=Cognitive Design for Artificial Minds|year=2021|location=London, UK | publisher=Routledge, Taylor & Francis | isbn=9781138207929}}</ref> Likewise, model development helps to inform limitations and shortcomings of the architecture. Some of the most popular architectures for cognitive modeling include [[ACT-R]], [[CLARION (cognitive architecture)|Clarion]], [[LIDA (cognitive architecture)|LIDA]], and [[Soar (cognitive architecture)|Soar]].