The mind-brain relationship and the perspective of meaning
- URL: http://arxiv.org/abs/2404.11379v1
- Date: Wed, 17 Apr 2024 13:35:51 GMT
- Title: The mind-brain relationship and the perspective of meaning
- Authors: Ranjan Mukhopadhyay,
- Abstract summary: We view the mind-body problem in terms of the two interconnected problems of phenomenal consciousness and mental causation.
I develop here a non-physicalist framework that combines two apparently antithetical views.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We view the mind-body problem in terms of the two interconnected problems of phenomenal consciousness and mental causation, namely, how subjective conscious experience can arise from physical neurological processes and how conscious mental states can causally act upon the physical world. In order to address these problems, I develop here a non-physicalist framework that combines two apparently antithetical views: the materialist view of the mind as a product of the brain and the metaphysical view of consciousness rooted in an underlying hidden reality. I discuss how this framework resolves the problem of mental causation while being simultaneously consistent with fundamental physical principles. I will elucidate how the framework ties in to the perspective of meaning that acts as the bridge between physical neurological processes and the conscious mind. Moreover, we will see how both our awareness of the self and our representation of the external world are connected to this perspective.
Related papers
- Consciousness defined: requirements for biological and artificial general intelligence [0.0]
Critically, consciousness is the apparatus that provides the ability to make decisions, but it is not defined by the decision itself.
requirements for consciousness include: at least some capability for perception, a memory for the storage of such perceptual information.
We can objectively determine consciousness in any conceivable agent, such as non-human animals and artificially intelligent systems.
arXiv Detail & Related papers (2024-06-03T14:20:56Z) - Neuromorphic Correlates of Artificial Consciousness [1.4957306171002251]
The concept of neural correlates of consciousness (NCC) suggests that specific neural activities are linked to conscious experiences.
This paper explores the potential for artificial consciousness by merging neuromorphic design and architecture with brain simulations.
arXiv Detail & Related papers (2024-05-03T09:27:51Z) - Informational non-reductionist theory of consciousness that providing
maximum accuracy of reality prediction [0.0]
The paper considers a non-reductionist theory of consciousness, which is not reducible to theories of reality and to physiological or psychological theories.
The principle of the Information Theory of Consciousness (ITS) development is put forward.
arXiv Detail & Related papers (2023-12-10T13:27:10Z) - Intrinsic Physical Concepts Discovery with Object-Centric Predictive
Models [86.25460882547581]
We introduce the PHYsical Concepts Inference NEtwork (PHYCINE), a system that infers physical concepts in different abstract levels without supervision.
We show that object representations containing the discovered physical concepts variables could help achieve better performance in causal reasoning tasks.
arXiv Detail & Related papers (2023-03-03T11:52:21Z) - Sources of Richness and Ineffability for Phenomenally Conscious States [57.8137804587998]
We provide an information theoretic dynamical systems perspective on the richness and ineffability of consciousness.
In our framework, the richness of conscious experience corresponds to the amount of information in a conscious state.
While our model may not settle all questions relating to the explanatory gap, it makes progress toward a fully physicalist explanation.
arXiv Detail & Related papers (2023-02-13T14:41:04Z) - Memory-Augmented Theory of Mind Network [59.9781556714202]
Social reasoning requires the capacity of theory of mind (ToM) to contextualise and attribute mental states to others.
Recent machine learning approaches to ToM have demonstrated that we can train the observer to read the past and present behaviours of other agents.
We tackle the challenges by equipping the observer with novel neural memory mechanisms to encode, and hierarchical attention to selectively retrieve information about others.
This results in ToMMY, a theory of mind model that learns to reason while making little assumptions about the underlying mental processes.
arXiv Detail & Related papers (2023-01-17T14:48:58Z) - Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs [77.88043871260466]
We show that one of today's largest language models lacks this kind of social intelligence out-of-the box.
We conclude that person-centric NLP approaches might be more effective towards neural Theory of Mind.
arXiv Detail & Related papers (2022-10-24T14:58:58Z) - From Smart Sensing to Consciousness: An info-structural model of
computational consciousness for non-interacting agents [0.0]
This study proposes a model of computational consciousness for non-interacting agents.
The phenomenon of interest was assumed as sequentially dependent on the cognitive tasks of sensation, perception, emotion, affection, attention, awareness, and consciousness.
arXiv Detail & Related papers (2022-08-29T16:49:51Z) - What's on your mind? A Mental and Perceptual Load Estimation Framework
towards Adaptive In-vehicle Interaction while Driving [55.41644538483948]
We analyze the effects of mental workload and perceptual load on psychophysiological dimensions.
We classify the mental and perceptual load levels through the fusion of these measurements.
We report up to 89% mental workload classification accuracy and provide a real-time minimally-intrusive solution.
arXiv Detail & Related papers (2022-08-10T21:19:49Z) - The world seems different in a social context: a neural network analysis
of human experimental data [57.729312306803955]
We show that it is possible to replicate human behavioral data in both individual and social task settings by modifying the precision of prior and sensory signals.
An analysis of the neural activation traces of the trained networks provides evidence that information is coded in fundamentally different ways in the network in the individual and in the social conditions.
arXiv Detail & Related papers (2022-03-03T17:19:12Z) - A QBist Ontology [0.0]
It is indebted to QBism, Kant, Bohr, Schr"odinger, the philosophy of the Upanishads, and the evolutionary philosophy of Sri Aurobindo.
It helps clear up unresolved issues in the philosophy of science.
arXiv Detail & Related papers (2020-05-25T06:08:20Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.