Re-Establishing a Lost Connection: Multi-Value Logic in Causal Data Analysis in Social Science Disciplines

The main purpose of logic optimization lies in architecting integrated switching circuits. It is thus a topic well covered electrical engineering. Some subfields the social sciences have also employed algorithms for since mid-1980s to infer about cause-effect relations. Most notably, political scientists and sociologists developed Qualitative Comparative Analysis (QCA), configurational comparative method (CCM) that relies on well-known Quine-McCluskey algorithm. However, while engineering has progressed considerably advent 1950s, these advancements not been monitored by scientists. Nor sought establish interdisciplinary collaboration. objective our article twofold. First, more generally, we seek build bridge between causal inference. Secondly, specifically, present Combinational Regularity (CORA), new CCM inspired In particular, introduce one CORA’s optimizing highly unspecified multi-value functions with multiple outputs. availability such CORA pushes boundaries inference attests extent which methodology could benefit from collaboration