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The multifaceted nature of subjective experience poses a challenge to the study of consciousness. Traditional neuroscientific approaches often concentrate on isolated facets, such as perceptual awareness or the global state of consciousness…

The search for reliable indicators of consciousness has fragmented into competing theoretical camps (Global Workspace Theory (GWT), Integrated Information Theory (IIT), and Higher-Order Theories (HOT)), each proposing distinct neural…

人工智能 · 计算机科学 2025-12-23 Yin Jun Phua

The purpose of this article is to provide an overall critical appraisal of Integrated Information Theory(IIT) of consciousness. We explore how it has evolved and what problems are involved in the theory. IIT is a hypothesis that…

神经元与认知 · 定量生物学 2018-10-02 Kyumin Moon , Hongju Pae

The science of consciousness has made great strides by focusing on the behavioral and neuronal correlates of experience. However, correlates are not enough if we are to understand even basic neurological fact; nor are they of much help in…

神经元与认知 · 定量生物学 2023-10-15 Giulio Tononi , Christof Koch

Cognitive science often evaluates theories through narrow paradigms and local model comparisons, limiting the integration of evidence across tasks and realizations. We introduce an automated adversarial collaboration framework for…

人工智能 · 计算机科学 2026-04-29 Suyog Chandramouli , George Kachergis , Akshay Jagadish

Developments in machine learning and computing power suggest that artificial general intelligence is within reach. This raises the question of artificial consciousness: if a computer were to be functionally equivalent to a human, being able…

An information-theoretic framework known as integrated information theory (IIT) has been introduced recently for the study of the emergence of consciousness in the brain [D. Balduzzi and G. Tononi, PLoS Comput. Biol. 4, e1000091 (2008)].…

神经元与认知 · 定量生物学 2011-07-11 Andre Nathan , Valmir C. Barbosa

Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its centre measures that quantify the extent to which a system generates more information than the sum of its parts. While several candidate measures of…

神经元与认知 · 定量生物学 2019-01-30 Pedro A. M. Mediano , Anil K. Seth , Adam B. Barrett

Integrated Information Theory (IIT) is an audacious attempt to pin down the abstract, phenomenological experiences of consciousness into a rigorous, mathematical framework. We show that IIT's stance in regards to neuronal noise is…

神经元与认知 · 定量生物学 2021-12-10 Refath Bari

The scientific study of consciousness is currently undergoing a critical transition in the form of a rapidly evolving scientific debate regarding whether or not currently proposed theories can be assessed for their scientific validity. At…

人工智能 · 计算机科学 2021-08-16 Jake R. Hanson , Sara I. Walker

The search for a scientific theory of consciousness should result in theories that are falsifiable. However, here we show that falsification is especially problematic for theories of consciousness. We formally describe the standard…

神经元与认知 · 定量生物学 2021-04-29 Johannes Kleiner , Erik Hoel

The concept of neural correlates of consciousness (NCC), which suggests that specific neural activities are linked to conscious experiences, has gained widespread acceptance. This acceptance is based on a wealth of evidence from…

人工智能 · 计算机科学 2024-05-07 Anwaar Ulhaq

Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and empirically grounded approach to AI consciousness: assessing…

The Integrated Information Theory (IIT) might be our current best bet at a scientific explanation of phenomenal consciousness. IIT focuses on the distinctively subjective and phenomenological aspects of conscious experience. Currently, it…

神经元与认知 · 定量生物学 2025-05-06 Azenet Lopez , Carlos Montemayor

To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models of…

神经元与认知 · 定量生物学 2018-08-01 Nikolaus Kriegeskorte , Pamela K. Douglas

The rapid evolution of artificial intelligence has led to expectations of transformative impact on science, yet current systems remain fundamentally limited in enabling genuine scientific discovery. This perspective contends that progress…

人工智能 · 计算机科学 2025-12-16 Karthik Duraisamy

This paper critically assesses the anti-functionalist stance on consciousness adopted by certain advocates of integrated information theory (IIT), a corollary of which is that human-level artificial intelligence implemented on conventional…

人工智能 · 计算机科学 2015-09-08 Murray Shanahan

Human consciousness has been a long-lasting mystery for centuries, while machine intelligence and consciousness is an arduous pursuit. Researchers have developed diverse theories for interpreting the consciousness phenomenon in human brains…

神经元与认知 · 定量生物学 2023-09-20 Zihan Ding , Xiaoxi Wei , Yidan Xu

One of the greatest research challenges of this century is to understand the neural basis for how behavior emerges in brain-body-environment systems. To this end, research has flourished along several directions but have predominantly…

神经元与认知 · 定量生物学 2021-06-10 Madhavun Candadai

Active inference is a unifying theory for perception and action resting upon the idea that the brain maintains an internal model of the world by minimizing free energy. From a behavioral perspective, active inference agents can be seen as…

机器学习 · 计算机科学 2024-01-17 Pietro Mazzaglia , Tim Verbelen , Bart Dhoedt
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