Christophe Menant

Evolutionary advantages of consciousness and intersubjectivity are part of current philosophical debates on the nature of consciousness. Both are linked and intersubjectivity is sometimes considered as a form of consciousness [1]. Regarding the evolution of consciousness, studies tend to focus on phenomenal consciousness [2]. We would like here to bring the focus on self-consciousness and continue the build up of a corresponding evolutionary scenario. We also propose to introduce a possible evolutionary link between self-consciousness and phenomenal consciousness. Our starting point is the evolutionary scenario based on the evolution of intersubjectivity that goes thru the identification with conspecifics at pre-human primate time frame [3, 4, 5]. The scenario considers that such identification with conspecifics brought the non self-conscious auto-representation carried by our prehuman primate ancestors to merge with the representations of conspecifics. The latter transferred to the auto-representation the characteristics of an entity existing in the environment, and by this way introduced some first elements of self-consciousness for our pre-human ancestors. In addition, an anxiety increase coming from the identification with suffering or endangered conspecifics produced an evolutionary engine based on anxiety limitation. We want here to complement this evolutionary approach by introducing the improvement of action programs as a contributor to the evolutionary advantages of intersubjectivity and self-consciousness. We look at the possibility for a subject to improve the action programs that conspecifics implement. The performance of identification with conspecifics allows the subject to consider that errors made by conspecifics are potentially her own errors, and consequently allows the subject to correct the errors of conspecifics for her own benefit. We describe the process of non successful action identification from the perspective of an observer and present the synergetic action program improvements with their contribution to the evolution of intersubjectivity and self-consciousness. We add this contribution to the existing evolutionary scenario on self-consciousness and introduce a possible evolutionary link between self-consciousness and phenomenal consciousness. We use for that the relation existing between phenomenal consciousness and pre-reflexive self-consciousness [6] and propose to link the latter to the proposed evolutionary nature of self-consciousness. We finish by summarizing the points addressed and by introducing some possible continuations.

Biosemiotics deal with the study of signs and meanings in living entities. Constructivism considers human knowledge as internally constructed by sense making rather than passively reflecting a pre-existing reality. Consequently, a constructivist perspective on biosemiotics leads to look at an internal active construction of meaning in living entities from basic life to humans. That subject is addressed with an existing tool: the Meaning Generator System (MGS) which is a system submitted to an internal constraint related to the nature of the agent containing it (biological or artificial). Simple organisms generate meanings to satisfy a “stay alive” constraint. More complex living entities manage meaningful representations with more elaborated constraints. The generated meanings are used by the agents to implement actions aimed at satisfying the constraints. The actions can be physical, biological or mental and take place in the agent or in its environment. The case of human agency is introduced with meaningful representations that may have allowed our ancestors to become self-conscious by representing themselves as existing entities. This paper proposes to use the MGS as a thread to address the above items linking biosemiotics to constructivism with relations to normativity, agency and autonomy. Possible continuations are introduced.

The question about evolution of consciousness has been addressed so far as possible selectional advantage related to consciousness ("What evolutionary advantages, if any, being conscious might confer on an organism ? "). But evidencing an adaptative explanation of consciousness has proven to be very difficult. Reason for that being the complexity of consciousness. We take here a different approach on subject by looking at possible selectional advantages related to the performance of Self Awareness that appeared during evolution millions of years before consciousness as we know it for humans. The interest of such an approach is that the analysis of selectional advantage is done at an evolution step sigificantly simpler that the step of Human Consciousness. We analyse how evolutionary advantages have resulted from this specific Self Awareness step. This is done by taking into consideration the possibility for a subject to identify with a conspecific at this level of evolution. We use the results made available by Mirror Neuron researchs where intersubjectivity and some level of identification with conspecifics have been evidenced for non human primates. Selectional advantages related to Self Awareness are analysed two ways: - Reformulating the performances of imitation and of development of language. - Showing that Self Awareness within group life can naturaly produce an important increase in fear/anxiety for a subject, and that the means implemented by the subject to overcome this fear/anxiety can act as significant evolution advantages opening the road to Human Consciousness. Such approach brings new elements supporting the view that consciousness is grounded in emotions. It also proposes some more evolutionist explanations to the widely dicussed subject of Empathy (S. Preston & F. de Waal) in terms of specific behaviour implemented to limit fear/anxiety increase. This approach also provides some explanation for limited anxiety within dolphins and introduces a basis for a possible phylogenesis of emotions.

Biosemiotics and Semiotics have similarities and differences. Both deal with signal and meaning. One difference is that Biosemiotics covers a domain (life) that is less complex that the one addressed by Semiotics (human). We believe that this difference can be used to have Biosemiotics bringing added value to Semiotics. This belief is based on the fact that a theory of meaning is easier to build up for living elements than for humans, and that the results obtained for life can make available some tools for a higher level of complexity. Semiotic has been encountering some difficulties to deliver a scientific theory of meaning that can be efficient at the level of human mind. The obstacles come from our ignorance on the nature of human. As it is true that we do not understand the nature of human mind on a scientific basis. On the other hand, the nature and properties of life are better understood. And we can propose a modelization for a generation of meaningful information in the field of elementary life. Once such a modelization is established, it is possible to look at extending it to the domain of human life. Such an approach on a theory of meaning (begininig in Biosemiotics and aiming at Semiotics), is what we present in this paper. Taking an elementary living element as reference, we introduce the bases of a systemic theory of meaning. Using a simple living system submitted to a constraint, we define a meaningful information, a meaning generator system and some elements related to meaningful information transmission. We then try to identify the hypothesis that need to be taken into account so the results obtained for living elements can be extended to human.

Understanding computation as “a process of the dynamic change of information” brings to look at the different types of computation and information. Computation of information does not exist alone by itself but is to be considered as part of a system that uses it for some given purpose. Information can be meaningless like a thunderstorm noise, it can be meaningful like an alert signal, or like the representation of a desired food. A thunderstorm noise participates to the generation of meaningful information about coming rain. An alert signal has a meaning as allowing a safety constraint to be satisfied. The representation of a desired food participates to the satisfaction of some metabolic constraints for the organism. Computations on information and representations will be different in nature and in complexity as the systems that link them have different constraints to satisfy. Animals have survival constraints to satisfy. Humans have many specific constraints coming in addition. And computers will compute what the designer and programmer ask for. We propose to analyze the different relations between information, meaning and representation by taking an evolutionary approach on the systems that link them. Such a bottom-up approach allows starting with simple organisms and avoids an implicit focus on humans, which is the most complex and difficult case. To make available a common background usable for the many different cases, we use a systemic tool that defines the generation of meaningful information by and for a system submitted to a constraint [Menant, 2003]. This systemic tool allows to position information, meaning and representations for systems relatively to environmental entities in an evolutionary perspective. We begin by positioning the notions of information, meaning and representation and recall the characteristics of the Meaning Generator System (MGS) that link a system submitted to a constraint to its environment. We then use the MGS for animals and highlight the network nature of the interrelated meanings about an entity of the environment. This brings us to define the representation of an item for an agent as being the network of meanings relative to the item for the agent. Such meaningful representations embed the agents in their environments and are far from the Good Old Fashion Artificial Intelligence type ones. The MGS approach is then used for humans with a limitation resulting of the unknown nature of human consciousness. Application of the MGS to artificial systems brings to look for compatibilities with different levels of Artificial Intelligence (AI) like embodied-situated AI, the Guidance Theory of Representations, and enactive AI. Concerns relative to different types of autonomy and organic or artificial constraints are highlighted. We finish by summarizing the points addressed and by proposing some continuations.