Having said that we are embarking upon an evolutionary theory of consciousness, reality soon stares us in the face. Wading through all of biology would not only take time and space, but would veer us off the main road.
Darwin had the luxury of sticking evidence tags to his theories and used it appropriately. On the other hand, his collaborator and counterpart Wallace, with little time and resources at hand took the short cut, of writing down the primary arguments and trusting that present and future evidence would satisfy his thesis.
For now, we take the Wallacian road, stopping once in a while to take a dip of the real facts of evolution as opposed to our theorizing.
And rather than start with the complexity of the human system we prefer to start with a single cell.
Even here we do not want to be bogged down in biological detail, or get into arguments about life’s origins, so we begin with a premise that is simple to state but complex in its implications.
We presume that all living systems are learning systems, trying to stay alive, and at any cost.
That is a shortcut we have taken, because we do not want to be sandbagged with trying to define life. We would like to acknowledge that there are many who consider reproduction an essential attribute of life, however we beg to differ.
We propose that the most important characteristic of life is self perpetuity and that reproduction is just another mechanism towards attaining that goal. Life aims for immortality rather than begetting children, begetting being a poorer but more practical substitute.
It goes without saying that self perpetuity involves a cognizance of self if but as a sense of one’s boundaries, and thus we jump directly into sentience, and consciousness.
As mentioned earlier, we will forego the question of origins for now; both the biology and physics required for such an endeavor are just not available, at the time of writing.
If life’s defining attribute is self perpetuity, then it involves a knowledge of self, and the ability to work itself and its environment to the advantage of its self. This is where learning systems come in. Learning systems are not the aseptic learning systems we meet in computer classes, but active, and more importantly (as we will see later) proactive.
With such a working definition for life, we have something akin to a Mobius strip, if it is alive, it needs to be conscious, if it is conscious, then it is alive, they might look different, but are the same surface.
This is the point where the head nodding starts, in the negative.
We do admit that the thinking may be against the grain, against the whole structure of miracle randomness + organic soup based definitions of life, but then sometimes we need to do just that, to upset existing definitions so that new ones can be unearthed, and if satisfactory, let them live.
Once we impute consciousness to the most basic of life forms, we can then trace consciousnesses evolutionary path, where we will not only meet human style self consciousness but other forms too.
The consciousness we attribute to the basic living system is about as much as we would give a autonomous robot, sensors around the surface that tell a central controller, or a coordinated set of controllers an idea of its boundaries, where its boundaries end and the environment’s starts.
We will meet the monster in the next post.