Aug 2026· Journal of Consciousness Studies· Vol 33, pp. 14-34· 0 citations· 36 references
Computer ScienceBiology
TL;DR
How a simple artificial agent that instantiates attributes of an affective system engaging in felt uncertainty about its intrinsic needs in relation to environmental resources can similarly display hedonic place preference behaviour — through an apparently subjective form of information processing — while simultaneously being entirely deterministic is discussed.
Abstract
Creatures that display ‘hedonic place preference behaviour’ are thought by many scientists to experience feelings, on the assumption that their attraction to pleasure-producing substances which lack nutritional value (e.g. cocaine, morphine) cannot easily be attributed to
unconscious instinctual behaviour. In this paper, we discuss how a simple artificial agent that instantiates attributes of an affective system engaging in felt uncertainty about its intrinsic needs in relation to environmental resources can similarly display hedonic place preference behaviour
— through an apparently subjective form of information processing — while simultaneously being entirely deterministic. We outline some implications of this artificially engineered behaviour for our understanding of the physical basis of consciousness and the experience of free
will.
This dissertation develops a constructionist account of emotion within the predictive processing framework. It argues that emotions are not the outputs of dedicated mechanisms, but are conceptually mediated forms of predictive inference. On this view, emotion concepts are understood as hierarchically organized generati...
The idea that emotional ambivalence may form part of our ordinary psychological life is often regarded with suspicion. Philosophers of emotion have argued that the simultaneous experience of opposed emotions toward the same intentional object, be it a whole object or an aspect of it, is incompatible with rational consi...
This commentary reflects on Jonathan Birch’s framework for defining and scientifically investigating sentience in animals, and considers trace conditioning, affective states, and neural architectures as potential windows into consciousness in insects.
Catherine Macri, Martin Giurfa· Animal Sentience· 0 citations
This work presents the first high-fidelity computational implementation of the Goal-Directed Theory of affect, and establishes a transparent, testable framework that enables a continuous"simulation-empiry"research loop.
B. Hilpert, Tamás Szűcs, J. Broekens et al.· 0 citations
Insight is offered into the computational dynamics of mindfulness and mind-wandering, laying the groundwork for the future exploration of consciousness and pure awareness, which is a state of consciousness devoid of content.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.