The management of meaningful information by biological entities is at the core of biosemiotics [Hoffmeyer 2010]. Intentionality, the ‘aboutness’ of mental states, is a key driver in philosophy of mind. Philosophers have been reluctant to use intentionality for non human animals. Some biologists have been in favor of it. J. Hoffmeyer has been using evolutionary intentionality and Peircean semiotics to discuss a biosemiotic approach to the problem of intentionality [Hoffmeyer 1996, 2012]. Also, recent philosophical studies are bringing new openings on (...) the subject of biological intentionality.[Asma 2014]. What we propose here is to use an existing system approach to meaning generation to introduce a link between biosemiotics and bio-intentionality at basic life level in an evolutionary perspective. Meanings do not exist by themselves. They have to be generated for a given reason by a defined entity. A system approach to meaning generation based on constraint satisfaction has been developped to that end: the Meaning Generator System (MGS) [Menant 2003a]. It has been used for biosemiotics in an evolutionary perspective [Menant 2003b, 2011]. To look at relating biosemiotics to intentionality through meaning genaration we recall the system structure of the MGS with the agent that contains it. Meaning generation and agent interfacing with environment make available components for the groundings of the generated meaning in terms of data, data processing, interfacing and constraint [Menant, 2011]. These groundings of the meaning can be in or out the agent containing the MGS. They display what the generated meaning is about. For basic life the ‘aboutness’ of the generated meaning relies on a ‘stay alive’ constraint that has to be satisfied (others constraints, like ‘live group life’, are to be introduced through the evolution of life). Such ‘aboutness’ of a generated meaning within basic life can be associated to an elementary biological intentionality, to a ‘bio-intentionality’. As biosemiotics deals with meaning management by biological entities, the relations introduced by the MGS between meaning generation and bio-intentionality introduce a link between biosemiotics and bio-intentionality for basic life. We present and develop that link. Besides making available a model usable for bio-intentionality, the proposed approach may also provide an entry point to the concept of intentionality without having to take into account human specificities like self-consciousness. It should also be noted that the approach takes life as a given and that the‘stay alive’ constraint brings in a teleological component. Such presentation of bio-intentionality calls for other developments and continuations. Some will be introduced. (shrink)

The Turing Test (TT), the Chinese Room Argument (CRA), and the Symbol Grounding Problem (SGP) are about the question “can machines think?” We propose to look at these approaches to Artificial Intelligence (AI) by showing that they all address the possibility for Artificial Agents (AAs) to generate meaningful information (meanings) as we humans do. The initial question about thinking machines is then reformulated into “can AAs generate meanings like humans do?” We correspondingly present the TT, the CRA and the SGP (...) as being about generation of human-like meanings. We model and address such possibility by using the Meaning Generator System (MGS) where a system submitted to an internal constraint generates a meaning in order to satisfy the constraint. The system approach of the MGS allows comparing meaning generations in animals, humans and AAs. The comparison shows that in order to have AAs capable of generating human-like meanings, we need the AAs to carry human constraints. And transferring human constraints to AAs raises concerns coming from the unknown natures of life and human mind which are at the root of human constraints. Implications for the TT, the CRA and the SGP are highlighted. It is shown that designing AAs capable of thinking like humans needs an understanding about the natures of life and human mind that we do not have today. Following an evolutionary approach, we propose as a first entry point an investigation about the possibility for extending a “stay alive” constraint into AAs. Ethical concerns are raised from the relations between human constraints and human values. Continuations are proposed. (This paper is an extended version of the proceedings of an AISB/IACAP 2012 presentation). (shrink)

We all agree that our human minds are results of primate evolution. We humans are self conscious. The separation of our human lineage from the chimpanzee one began about 7MY ago (pan homo split). Specificities of human self consciousness have been created during that time. Besides interesting approaches differing from the one proposed here [1], little is known about how these specificities came up [2, 3]. We propose here to address that subject with an evolutionary scenario using meaningful representations, identifications (...) with conspecifics and anxiety management. Taking the beginning of the pan-homo split as a starting point we look at how an evolutionary scenario could have led to our present human self consciousness as object and as subject. An evolutionary anxiety is highlighted as having been a key contributor to the evolutionary scenario with perspectives on a possible future of self consciousness. Human self consciousness is defined here as the meaningful representation of one’s own entity, with the capability to think and talk about it. The evolutionary scenario proposed here is an extension of a previous version [11] that uses an evolution of meaningful representations introduced in previous works [8]. The scenario starts with two types of meaningful representations carried by our non self-conscious pre-human ancestors: representations of parts of themselves (seen hands, heard shouting, actions, …) and representations of conspecifics as entities existing in the environment. The next step uses elementary versions of inter-subjectivity and of identifications with conspecifics that our primate ancestors were capable of. It is proposed that these performances have brought the two types of representations to merge and bring our ancestors to progressively represent their own entity as existing in the environment like conspecifics were represented. We consider such evolutionary approach as introducing an elementary form of self consciousness as object and a s subject, both coming in together. We group them into an “ancestral self consciousness” which was to evolve into our human self consciousness [4]. Such approach avoids the need of a pre-reflective self consciousness [7]. The scenario considers that such identifications took place also with suffering or dying conspecifics. These identifications were sources of specific new fears and anxieties that the scenario groups in an “evolutionary anxiety”, source of important mental sufferings that our ancestors had to limit. Different possibilities were available for that. The scenario proposes that the chimpanzee lineage may have limited what was an unbearable mental suffering by stopping the development of identifications with conspecifics, and by this also stopping a possible evolution toward self-consciousness. This would have led to today chimpanzees. On the other side, our human lineage may have developed anxiety limitation tools like caring, pleasure, anticipation, communication and imitation; such tools also favoring the evolution of our lineage toward human minds . This is illustrated in the scenario by the introduction of an ”evolutionary engine”. In addition, the capacity for anticipation attached to self consciousness has amplified the evolutionary anxiety, leading it to become an overall “ancestral anxiety” which is still present and active in our human minds (with anxiety limitations as a key constraints to satisfy). The many anxiety limitation processes introduced in our lineage during the pan homo split were interrelated. Many came up in addition to the few ones listed here above. Most remain in our human minds at an unconscious level and are active in our everyday lives, much more than assumed so far. Considering a possible future of human self consciousness, nothing tells that human evolution is terminated. Also, the evolutionary scenario introduces the possibility for some anxiety limitation processes to be sources of evil behaviors, more precisely related to a possible pleasure procured by the suffering of others [9]. That (disturbing) background could introduce a better understanding of human mind, and so be an entry point to its future in terms of potential improvements of human nature. The scenario also introduces an evolutionary nature of reflectivity [10] which can question the philosophical need for a pre-reflective self consciousness. Such perspective can also introduce a naturalization of introspection, and then allow to consciously question the nature and content of our mental states. This could open a path for a tentative naturalization of the “what it is like” question for humans and make available an evolutionary link between self consciousness and phenomenal consciousness. A last point to highlight is that the proposed evolutionary scenario uses performances of life like intersubjectivity. This brings to note that a full understanding of the proposed scenario needs an understanding about the nature of life which is not available today. A lot remains to be done on these subjects. Continuations are introduced. (shrink)

Representing oneself as an existing entity and having intense fear of the unknown are human specificities. Self-consciousness and anxiety states are characteristics of our human minds. We propose that these two characteristics share a common evolutionary history during which they acted in synergy for the build-up of our human minds. We present that perspective by using an evolutionary scenario for self-consciousness in which anxiety management plays a key role. Such evolutionary background can introduce new relations between philosophy of mind and (...) psychology. The proposed evolutionary scenario starts at the Pan-Homo split time (about 6my ago) when our pre-human ancestors were able to manage representations while also being able to partly identify with their conspecifics. These identifications allowed our ancestors to merge the representations they had of parts of themselves with the corresponding representations they had of their conspecifics. The scenario proposes that such merger has led our ancestors to progressively build up a representation of their own entity as existing in the environment, like conspecifics were represented as existing. This evolutionary process is considered in the scenario as the source of an ancestral form of self-consciousness. The same process has also produced identifications with suffering or endangered conspecifics which have created in the minds of our ancestors some new anxieties coming in addition to the animal ones. The resulting psychological sufferings had to be limited for evolution to continue. The tools developed to that end by our ancestors (caring, collaboration, communication, ToM, ...) have also procured significant evolutionary benefits with positive feedbacks on identifications. Overall, the evolutionary scenario proposes that the combination of the anxiety management processes with the evolution toward self-consciousness has created an evolutionary engine that has accelerated the coming up of our human self-consciousness. As a result, our today human minds contain important anxieties interwoven with an evolutionary nature of self-consciousness. Such perspective brings to consider that many of our mental states may be unconsciously guided by these evolutionary sourced anxieties (which are still to be clearly understood). Corresponding anxiety management processes are then key contributors to our human feelings and motivations, and to our interpersonal relationship. For instance, the role of Pascalian type diversions can be understood as keeping consciousness away from psychological sufferings produced by too anxious mental states. Also, part of our human sexuality developed during human evolution can be considered as a multidimensional escape and refuge from anxiety. This also brings to look at our psychological well-being and to our mental health as much more related to anxiety management than assumed so far. Dis-functioning of anxiety management processes can then be source of mental disorders and illnesses. On that subject the evolutionary scenario proposes that avoidances of too anxious mental states can lead to evil behaviors. These subjects need more developments. Possible continuations are introduced. (shrink)

The performance of reflectivity of self-consciousness is traditionally associated to the subject turning its consciousness of objects to its own entity. But such process introduces concerns of circularity and of infinite regress. To avoid them philosophers have postulated a “pre-reflective self-consciousness” understood as a “state of consciousness that is immediately aware of itself, unmediated by reflections”. We propose here that an evolutionary scenario for self-consciousness can introduce reflectivity as a natural performance, bringing pre-reflective self-consciousness to be reconsidered. The evolutionary scenario (...) starts when our ancestors were capable to manage representations while also being able to partly identify with their conspecifics represented as existing in the environment. These identifications have allowed our ancestors to merge the representations they had of parts of themselves with the corresponding representations they had of their conspecifics. These mergers have progressively led our ancestors to begin representing themselves as entities existing in the environment, like conspecifics were represented. Such process has produced an elementary reflectivity and has provided our ancestors with an "ancestral self-consciousness". And thinking about the represented entity has led our ancestors to self-consciousness as object and as subject. Reflectivity can then be considered as a natural performance of self-consciousness. And postulating a pre-reflective self-consciousness may need to be re-addressed. (shrink)

The relations between life and cogntion have been addressed through different perspectives [Stewart 1996, Boden 2001, Bourgine and Stewart 2004, van Duijn & all 2006, Di Paolo 2009]. We would like here to address that subject by relating life to cognition through a process of meaning generation. Life emerged on earth as a far from thermodynamic equilibrium performance that had to maintain herself. Life is charactertized by a ‘stay alive’ constraint that has to be satisfied (such constraint can be included (...) in the constraint of being able to maintain far from equilibrium thermodynamic conditions [Bickhard 2011]). The local ‘stay alive‘ constraint has to be satisfied in an environment containing elements potentially supportive or harmfull. A key activity for the living entity is to characterize these elements in terms of meaningfulness relatively to the ‘stay alive’ constraint. This process can be modeled with an existing tool where a system submitted to an internal constraint generates meaningful information characterizing elements of the environment: the Meaning Generator System (MGS) [Menant, 2003, 2014 a]. In a few words: when a system submitted to an internal constraint receives from the environment an information that has a connection with the constraint it generates a meaning usable for the implementation of an action satisfying the constraint.The generated meaning is the connection existing between the received information and the constraint. The MGS models this process and interfaces to the action implementation for constraint satisfaction The meaning is generated by and for the system. The MGS grounds meaning generation in constraint satisfaction and links the living entity to her environment in a relational process. A simple example is with a paramecium close to a drop of acid. The paramecium which is submitted to a ‘stay alive’ constraint will move away from the acid area. The received information ‘presence of acid’ generates the meaning ‘acid not compatible with the ‘stay alive’ constraint‘ which triggers the moving away action (that example is close to Varela’s bacteria swimming up a sugar gradient. What the MGS brings in addition is a modeling of the significance of the chemical gradient for the organism). The action implemented to satisfy the constraint modifies the environment and the received information, establishing an interactive process linking the living entity to her environment. During its evolution animal life has elaborated new constraints (like ‘live group life’) and new functions enriching meaning generation and action scenarios. As a result the build up of meaningful representations has improved the constraint satisfaction processes of animals, embedding them in their environments in relational and interactive terms [Menant, 2011]. Cognition can be defined by proposing that ‘a system is cognitive if and only if sensory inputs serve to trigger actions in a specific way, so as to satisfy a viability constraint’ [Bourgine, Stewart 2004]. Cognition can also be considered as exemplifying a ‘vital criterion of responsiveness’ [Boden, 2001 ]. Consequently the MGS can be positioned as an elementary and generic version of animal cognition. For animal life, meaning generation for internal constraint satisfaction links life and cognition in a relational and interactive process. Cognition for human life is more complex as new performances have to be taken into account like self-consciousness and free-will. Meaning generation at human level is a challenging subject as human constraints are not clearly understood [Menant, 2011]. Many research activities are in process looking for some understanding of human mind [Philpapers]. One area of investigation is an evolutionary approach to self-consciousness using meaning generation where anxiety limitation comes up as a generic human constraint [Menant, 2014 b]. Assuming that we can have clear enough an understanding of some human constraints, we can look at the MGS for partly extending to humans the link between life and cognition that has been established for animals. So overall, we can consider that the MGS approach makes available an evolutionary link between life and cognition for animals, and partly for humans. A characteristic of the proposed system approach to meaning generation is the possibility to use it for any type of agent, be it organic (with intrinsic constraints ) or artificial (with derived constraints). Such characterization of agents through meaning generation can be used to discriminate artificial itelligence from human intelligence (see the MGS usage to support Searle’s chinese room argument [Menant, 2013]). On a more general basis, the proposed system approach can positions the MGS as a simple model for an internal source of normativity. It’s usage as a simple building block allows a bottom-up modeling for normativity in the sensorimotor approach. The ‘stay alive’ constraint could also be taken as a starting point for an evolutionary grounding of sensorimotor norms ‘in the biological normativity of the agent as a whole’ [Di Paolo & all 2014]. The proposed presentation will develop the points summarized here above and position them relatively to the autopoietic and enactive approaches. Several possible continuations will also be highlighted. (shrink)

Meanings are present everywhere in our environment and within ourselves. But these meanings do not exist by themselves. They are associated to information and have to be created, to be generated by agents. The Meaning Generator System (MGS) has been developed on a system approach to model meaning generation in agents following an evolutionary perspective. The agents can be natural or artificial. The MGS generates meaningful information (a meaning) when it receives information that has a connection with an internal constraint (...) to which the agent is submitted. The generated meaning is to be used by the agent to implement actions aimed at satisfying the constraint. We propose here to highlight some characteristics of the MGS that could be related to items of philosophy of information. (shrink)

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. (shrink)

By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions. (shrink)

Principles of constructivism are used here to explore how organisms develop tools, subagents, scaffolds, signs, and adaptations. Here I discuss reasons why organisms have composite nature and include diverse subagents that interact in partially cooperating and partially conflicting ways. Such modularity is necessary for efficient and robust functionality, including mutual construction and adaptability at various time scales. Subagents interact via material and semiotic relations, some of which force or prescribe actions of partners. Other interactions, which I call “guiding”, do not (...) have immediate effects and do not disrupt the evolution and learning capacity of partner agents. However, they modify the extent of learning and evolutionary possibilities of partners via establishment of scaffolds and constraints. As a result, subagents construct reciprocal scaffolding for each other to rebalance their communal evolution and learning. As an example, I discuss guiding interactions between the body and mind of animals, where the pain system adjusts mind-based learning to the physical and physiological constraints of the body. Reciprocal effects of mind and behaviors on the development and evolution of the body includes the effects of Lamarck and Baldwin. (shrink)