[deleted]
Hi Wilhelmus
"Our five senses ask for the reference of reference, which cannot be found in our causal material reality."
I have solved the semantic grounding problem, or as you call it the source of the "reference of reference". It definitely exists as part of causal material reality. Please see the attachment below for details. I have actually reduced semantic grounding to the level of mathematical equations. Alas, the spatiotemporal relations between the flow of ions inside the neurons dendritic trees is a fundamental part of their knowledge representation. This cannot be simulated without also simulating the solid geometry of the neural network and all its synaptic connections.
"We all have a subjective reality that is presented as a simultaneity sphere around our consciousness. Consciousness not being a material entity with length or volume, can be treated as a singularity."
Wow. Thats quite a leap. I agree that all conscious observers have a subjective reality, but there is no need to place subjectivity or consciousness outside causality.
Part of your statement seems to be a category error. Consciousness is not an entity or a thing like an atom or molecule or a box of rocks. It is the result of an electrochemical ionic exchange process that operates over a biological neural network. That process changes neural connection patterns via neural and synaptic plasticity. It also changes the "weight" or synaptic efficicy of synaptic connections, and most importantly, it represents meaning via the dynamic interactions in the flow of electrotonic potentials through the neurons dendritic trees. The dynamic interactions between electrotonic potential flows directly represent the higher order composition of abstract relations between higher order abstractions. It can be thought of as dynamically generating a system of higher order equations where those equations are represented by abstractions. An abstraction is a partial representation of a concept or thing or a relation between things or a process in some context. Abstractions are represented by systems of higher order functors, i.e., systems of functions that can take functions or higher order compositions of functions as arguments and return a function or higher order composition of functions as a result. The execution of those abstract equations is represented by the spatiotemporal integration of electrotonic potentials as they flow through the neurons dendritic trees. In essence, these are functions of abstractions, functions of space and functions of time. Thus, in addition to representing how things relate to each other functionally, they can represent how those functions relate to each other in space and time, as well as how they vary over space and time. In a sense the neuron operates like a combination lock that has many different combinations. The systems of equations it represents are satisfied if the resulting dendritic integration of its electrotonic potentials exceeds the neurons action potential activation threshold. When that happens, the neuron fires its axon, thereby signalling the detection of whatever abstraction the neuron represents in the current context of thought. The firing of the axon is an all or nothing event. It does not encode any information. There is no neural code. The firing of the axon only signals the detection of an instance of the abstraction represented by the neuron in the current context of thought. The timing of that signal is important relative to the timing of that neurons synaptic inputs, and electrotonic potential conduction times and distances, but it does not carry or encode any information in and of itself. In fact, neurons are more like signal processors than information processors. They exchange signals with each other, but those signals don't carry information and they do not represent any kind of message. It is a simple all or nothing signal, like turning on a light switch. The meaning is conveyed via the spatio temporal relationships between the firing of dendritic synapses and the subsequent spatiotemporal integration of the resulting electrotonic potentials. Its a kind of spacetime computer. It computes everything in four dimensions. The neuron doesn't have to 'know' what it represents in any abstract sense, it just needs to represent the fact that if a particular combination of synapses is fired with a specific set of relative firing times, then one of the abstractions represented by one of the spatiotemporal abstract equations it represents was satisfied, thereby directly causing it to fire its axon. The invariant is the neural connection patterns. Those are relatively stable after they occur enough times to be learned via the adjustment of synaptic 'weights'. In other words, the neuron simply represents whatever is represented by the relations it represents between the abstractions in its input. That process is inductive, and constructive, functionally composing higher order abstractions and their relations starting from the activation of sensory neurons from one or more of our senses.
Consciousness is definitely a material entity because it is created by neurons, and those are all composed of matter and energy, no different than the matter and energy that compose the rest of existence. The brain exists in spacetime and operates according to the known laws of physics. Conventional physics and electrochemistry already contain everything needed to understand its components. The problem is science understands what the brain is composed of and how the parts work, but it doesn't understand how those parts work together to represent knowledge or compute meaning or consciousness. it doesn't understand what is significant to knowledge representation, computation and consciousness and what is there only because it is needed to implement neural computation in a biological substrate. Currently, its like trying to understand how a computer program works by studying it at the level of the individual transistors in a microprocessor. A lot of fundamental detail about neurotransmitters and synapses and ion channels, and electrochemistry and physics exists, but there is little understanding of how neurons use all of that to represent knowledge, meaning, thought, and consciousness. What is missing isn't new physics or electrochemistry, it is an understanding of the brains' neural knowledge representation and neural computational model. I discovered those several years ago and provided a high level summary in the attachment below. Much more detail is available should you desire it.Attachment #1: 1_Reply_to_I_as_observer.pdf