Feeling our place in the world: an active inference account of self-esteem

Albarracin, Mahault; Bouchard-Joly, Gabriel; Sheikhbahaee, Zahra; Miller, Mark; Pitliya, Riddhi J; Poirier, Pierre

doi:10.1093/nc/niae007

Cited by 4 publications

(2 citation statements)

References 107 publications

(132 reference statements)

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“…Consequently, the symbolic identity continuously changes with environment, and sets the priors for the self's performance. When stressors deviate from these expectations based on priors, the free energy of self-model increase, inducing negative affect (Albarracin et al, 2024).…”

Section: Descriptive Model Of Suicide Ideation: a Lacanian Perspectivementioning

confidence: 98%

“…the Other), and the Other further interpellates the subject into specific social roles over decades of education and dissemination. This process of interpellation is formalized using FEP as system inferring its own function role according to long-term external inputs (Albarracin et al, 2024;Ramstead et al, 2021).…”

Section: Descriptive Model Of Suicide Ideation: a Lacanian Perspectivementioning

confidence: 99%

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A computational model of general suicide ideation

Li,

2024

Preprint

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Suicidal ideation represents one of the most complex mental phenomena and poorly understood. This paper explores the psychic mechanisms of suicide ideation through a novel approach that combines computational methods with Lacanian psychoanalysis, specifically utilizing free energy principle (FEP). We begin by outlining foundational concepts of FEP and computational Lacanian psychoanalysis. Subsequently, we review contemporary theories of suicide thought including Interpersonal theory, Escape theory, and Lacanian and other psychoanalytic perspectives. We identify four components of suicidal ideation: symbolic suicide, imaginary suicide, desire for death, and passage of the act. A recurrent generative model is proposed that simulates suicidal impulses based on internal states and external events. We discuss enhancing the practical applicability and validating this theoretical model using real-world data like Social Readjustment Rating Scale and Personality Inventory for DSM-5 (PID-5). The predictive capability of our model is evaluating using an open-source dataset of PID-5 and Columbia Suicide Severity Rating Scale, achieving an AUC of 0.76, despite the absence of life event data. The model demonstrates the potential of generative psychometrics as a paradigm for integrating psychometric measurement with generative modeling of psychological phenomena. Further work should validate the model by incorporating external factors to refine its explanatory and predictive power. With continued development, this generative psychometric approach could provide new tools for better assessing, understanding, and treating suicidal ideation.

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Section: Descriptive Model Of Suicide Ideation: a Lacanian Perspectivementioning

confidence: 98%

Section: Descriptive Model Of Suicide Ideation: a Lacanian Perspectivementioning

confidence: 99%

A computational model of general suicide ideation

Li,

2024

Preprint

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Modeling Sustainable Resource Management Using Active Inference

Albarracin,

Hipolito,

Raffa

et al. 2024

Communications in Computer and Information Science

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How preferences enslave attention: calling into question the endogenous/exogenous dichotomy from an active inference perspective

Parvizi-Wayne

2024

Phenom Cogn Sci

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It is easy to think of attention as a purely sensorimotor, exogenous mechanism divorced from the influence of an agent’s preferences and needs. However, according to the active inference framework, such a strict reduction cannot be straightforwardly invoked, since all cognitive and behavioural processes can at least be described as maximising the evidence for a generative model entailed by the ongoing existence of that agent; that is, the minimisation of variational free energy. As such, active inference models could cast an (embodied) cognitive mechanism like attention, described in this paper as a relevance filter, as constrained (or enslaved) by these prior preferences for which an agent must seek evidence, whether or not such priors are having direct, real-time neurocognitive effects on the sensorimotor loops that couple the attending agent and her surrounding environment. This duality with respect to the role of priors corresponds to a wider, ongoing debate in the active inference community regarding the framework’s explanatory power. More specifically, the debate centres on whether the notion of a generative model and the priors embedded ubiqitously therein act as a purely useful instrumental tool for scientists aiming to model the behaviours of self-organising entities, or, rather, the brain (and body) is genuinely constituted by a predictive hierarchy within which higher-order dynamics constrain and contextualise activity unfolding at lower levels. With a focus on the second (ontologically realist) construal of active inference presented here, this paper argues that in cognitive systems endowed with attentional schema, higher-order preferences do, indeed, impose a demonstrable and powerful modulating effect on the way attention unfolds. Furthermore, these preferences in question transcend the contingent, task-relevant goals that have already been shown to bias attention. Rather, attention is powerfully tuned by the most-deep rooted priors the agent possesses, such that, when sensory evidence against these priors is observed and free energy spikes, the agent attentionally prioritises the homeostatic restoration of these preferred states over their shorter-term desires. This suggests that, at its core, attention is a goal-driven process, which calls into question the putative dichotomy that exists between endogenous (goal-directed) attention and exogenous (stimulus-driven) attention. What emerges in its place is a symbiotic relationship between attention and preferences, whereby the fulfilment of the latter rests on successful application of the former, and the former derives its function from the organismic need to find evidence for the latter.

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Feeling our place in the world: an active inference account of self-esteem

Cited by 4 publications

References 107 publications

A computational model of general suicide ideation

A computational model of general suicide ideation

Modeling Sustainable Resource Management Using Active Inference

How preferences enslave attention: calling into question the endogenous/exogenous dichotomy from an active inference perspective

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