Academia.eduAcademia.edu

artificial dreams

description11 papers
group2 followers
lightbulbAbout this topic
Artificial dreams refer to computer-generated simulations or representations of dream-like experiences, often created through algorithms and artificial intelligence. This field explores the intersection of neuroscience, psychology, and technology, aiming to understand and replicate the cognitive processes involved in dreaming, as well as their potential applications in therapy and creativity.
lightbulbAbout this topic
Artificial dreams refer to computer-generated simulations or representations of dream-like experiences, often created through algorithms and artificial intelligence. This field explores the intersection of neuroscience, psychology, and technology, aiming to understand and replicate the cognitive processes involved in dreaming, as well as their potential applications in therapy and creativity.

Key research themes

1. How varied is the bizarreness in artificial and natural dream content, and what neural mechanisms contribute to this variability?

This research area investigates the spectrum of dream content ranging from highly bizarre, incoherent experiences to more mundane, waking-like realistic simulations. Understanding this variability is crucial for linking phenomenological dream diversity with underlying neurobiological mechanisms and cognitive processes. The theme addresses how neural activation patterns, neuromodulation, and brain regions such as the dorsolateral prefrontal cortex influence the coherence and bizarreness of dream experiences, providing models that integrate empirical findings and theoretical interpretations.

Key finding: Introduces a pluralist model asserting that dream content lies on a spectrum from bizarre to mundane rather than fitting binary categories. It links bizarreness to reduced dorsolateral prefrontal cortex (DLPFC) activation and... Read more
Key finding: Demonstrates that during self-learning in simple artificial neural networks, transient unstable states—termed "artificial dreams"—emerge, exhibiting oscillatory and incoherent patterns analogous to human dream bizarreness.... Read more
Key finding: Extends the concept of artificial dreams by showing that unsupervised, self-learning neural networks exhibit dynamic transient phenomena that do not appear in supervised learning. These phenomena, interpreted as artificial... Read more
Key finding: Presents neurobiological evidence showing that dreaming and waking cognition share overlapping neural networks, particularly in medial temporal and frontal regions involved in memory and imagination. The research highlights... Read more

2. Can dreaming be characterized as a simulation of waking social reality, and what functions might such social dream simulations serve?

This theme focuses on conceptualizing dreams as immersive, virtual simulations of social environments where dreamers interact with avatars representing themselves and others. It investigates the nature, frequency, and quality of social interactions in dreams, positing that dreaming serves adaptive functions such as social skills rehearsal, threat anticipation, and emotional processing. Theoretical frameworks like Social Simulation Theory (SST), Threat Simulation Theory (TST), and the Continuity Hypothesis (CH) are contrasted, with a call for empirical testing to elucidate dreaming's social role.

Key finding: Formulates Social Simulation Theory (SST) proposing that dreams primarily simulate social interactions and relationships, acting as a virtual reality that rehearses social skills and bonds critical for human survival. The... Read more
Key finding: Argues for the unification of dream theories under the core concept of 'world-simulation,' from which specific functions such as the Threat Simulation Theory and Social Simulation Theory derive. It advocates for clear, risky,... Read more
Key finding: Advances a sociological perspective positing dreams as collective enterprises reflecting social realities and public rhetoric rather than purely individual mental phenomena. It identifies dreams’ content as shaped by social... Read more

3. How can philosophical and imaginative frameworks explain the ontological and epistemological nature of dreams and address skepticism about dream reality?

This area explores philosophical approaches to the nature of dreams—whether they are hallucinatory, imagistic, or a different reality dimension—and how their distinct logic affects conceptions of morality, presence, and consciousness. Central to this theme is tackling dream skepticism, i.e., justifying belief in wakefulness over dreaming, by analyzing the sensory and imagistic qualities of dream experience. The research integrates cognitive philosophy, phenomenology, and neurophenomenology to clarify dreaming's ontological status and its implications.

Key finding: Proposes a novel response to dream skepticism grounded in the theory that dream experiences are imagistic rather than hallucinatory. By exploiting the limitation that one cannot have two simultaneous distinct imagistic... Read more
Key finding: Analyzes dreams' ontological status and logic, explicating how dream logic deviates from classical identity and non-contradiction principles, challenging traditional moral judgments within dreams. It discusses how dreams... Read more
Key finding: Offers a reflective personal-philosophical exploration questioning the standard assumptions about dream content and awareness. Critically examines Freudian interpretations and highlights the complexities in experiential... Read more

All papers in artificial dreams

Abstract: Most researchers focused on particular result ignore intermediate stages of learning process of neural networks. However some "immature" neurons exhibit behavior that can be interpreted as source of "artificial dreams". Article... more
Article presents some unusual effects observed during the self-learning process in artificial neural networks. In typical applications neural networks can be trained by means so called "supervised learning", where every answer of neural... more
Download research papers for free!