Walk-in mental health: Bridging barriers in a pandemic.

'Single Session Therapy' (SST) is a service delivery model that seeks to provide an evidence-based, solution-focused, brief intervention within a single therapy session. The stand-alone session affords the opportunity to provide brief psychological interventions while clients await access to longer-term services. The COVID-19 pandemic has adversely impacted individuals' mental health.

Ignoring the role of reiterative processing and worldview transformation leads to exaggeration of the role of curiosity in creativity.

The Novelty-Seeking Model does not address the iterative nature of creativity, and how it restructures one's worldview, resulting in overemphasis on the role of curiosity, and underemphasis on inspiration and perseverance. It overemphasizes the product; creators often seek merely to express themselves or figure out or come to terms with something. We point to inconsistencies regarding divergent and convergent thought.

A Dynamic Autocatalytic Network Model of Therapeutic Change.

Psychotherapy involves the modification of a client's worldview to reduce distress and enhance well-being. We take a human dynamical systems approach to modeling this process, using Reflexively Autocatalytic foodset-derived (RAF) networks. RAFs have been used to model the self-organization of adaptive networks associated with the origin and early evolution of both biological life, as well as the evolution and development of the kind of cognitive structure necessary for cultural evolution.

Modeling Discontinuous Cultural Evolution: The Impact of Cross-Domain Transfer.

This paper uses autocatalytic networks to model discontinuous cultural transitions involving cross-domain transfer, using as an illustrative example, artworks inspired by the oldest-known uncontested example of figurative art: the carving of the Hohlenstein-Stadel Löwenmensch, or lion-human. Autocatalytic networks provide a general modeling setting in which nodes are not just passive transmitters of activation; they actively galvanize, or "catalyze" the synthesis of novel ("foodset-derived") nodes from existing ones (the "foodset.") This makes them uniquely suited to model how new structure grows out of earlier structure, i.