"Causal maps are representations of individuals (or groups) beliefs about causal relations. They include elements, with only two kinds of properties. The first property is 'relevance'. The second is the possibility of being in one (of two) 'influence relationships' (positive or negative) with one (of three) strengths (weak. moderate, or strong)." (Kivia Markoczy & Jeff Goldberg, "A method for eliciting and comparing causal maps", 1995)
"A causal map is an abstract representation of the causal relationships among kinds of objects and events in the world. Such relationships are not, for the most part, directly observable, but they can often be accurately inferred from observations." (Alison Gopnik & Clark Glymour, "Causal maps and Bayes nets: a cognitive and computational account of theory-formation" [in "The cognitive basis of science"], 2002)
"A causal map (also called an influence diagram or a cause map) is a directed graph in which causal concepts (or nodes) represent the important variables that make up a domain." (S Nadkarni, Aggregated causal maps: An approach to elicit and aggregate the knowledge of multiple experts, 2003)
"A causal map is a directed graph that represents an individual’s (an agent, a group of agents or an organization) assertions about its beliefs with respect to its environment." (Nassreddine Garoui & Anis Jarboui, "Cognitive Mapping: Testing Application of Causal Algebra", Applied Mathematics Vol.3 (4), 2012)
"A causal map is a two-dimensional network of nodes and links that conveys the hierarchical and cause-effect relationships between events or variables within a complex system." (Allan Jeong & Woon Jee Lee, "The Sequential Analysis, Modeling and Visualization of Collaborative Causal Mapping Processes and Effects on Causal Understanding", 2013)
"A word-and-arrow (or statement-and-arrow) diagram in which ideas are causally linked to one another through the use of arrows. The arrows indicate how one idea or action leads to another in a means-ends relationship; in other words, an arrow means 'might cause', 'might lead to', 'might result in', or some other kind of influence relationship." (Fran Ackermann et al, "Visual Strategy: Strategy Mapping for Public and Nonprofit Organizations", 2014)
"A visual depiction of where certain kinds of data exist across an organization. Example: we have produced a data map showing where all customer data exists across our systems." (Gregory Lampshire, "The Data and Analytics Playbook", 2016)
"A Causal Map is hierarchical in structure (linking means to ends) and built with a focus on achieving goals. The process of creating the maps is ideally a group process and this in itself will add lots of value to a collective understanding of goals around EDI, what is required to achieve these and some of the potential challenges around this." (Nicola Morrill, "Supporting Your Efforts on Diversity", 2021)