Artificial models of cognition serve different purposes, and their use determines the way they should be evaluated. There are also models that do not represent any particular biological agents, and there is controversy as to how they should be assessed. At the same time, modelers do evaluate such models as better or worse. There is also a widespread tendency to call for publicly available standards of replicability and benchmarking for such models. In this paper, I argue that proper evaluation ofmodels (...) does not depend on whether they target real biological agents or not; instead, the standards of evaluation depend on the use of models rather than on the reality of their targets. I discuss how models are validated depending on their use and argue that all-encompassing benchmarks for models may be well beyond reach. (shrink)

The concept of biological mimicry is viewed as a ‘process of life’ theory rather than a ‘process of change’ theory—regardless of the historical interest and heuristic value of the subject for the study of evolution. Mimicry is a dynamic ecological system reflecting the possibilities for mutualism and parasitism created by a pre-established bipartite signal-based relationship between two organisms – a potential model and its signal receiver (potential operator). In a mimicry system agency and perception play essential, interconnected roles. Mimicry thus (...) describes emergent biologically meaningful relationships based on synergy, and is not an object-based theory. Biosemiotics offers a particularly valuable discipline for analysing the dynamics and nuances of mimicry systems, and can thus pave the way for a better and more complete understanding of how mimicry has evolved in the past, and how it might evolve in the future—presented here with special reference to the need for an integrated, ‘third way of evolution’ approach to biological relativity. A revised definition of mimicry is proposed. (shrink)

The sensorimotor approach to perception addresses various aspects of perceptual experience, but not the subjectivity of intentional action. Conversely, the problem that current accounts of the sense of agency deal with is primarily one of subjectivity. But the proposed models, based on internal signal comparisons, arguably fail to make the transition from subpersonal computations to personal experience. In this paper we suggest an alternative direction towards explaining the sense of agency by braiding three theoretical strands: a world-involving, dynamical interpretation of (...) the sensorimotor approach, an enactive description of sensorimotor agency as contrasted with organic agency in general, and a dynamical theory of equilibration within and between sensorimotor schemes. On this new account, the sense of oneself as the author of one’s own actions corresponds to what we experience during the ongoing adventure of establishing, losing, and re-establishing meaningful interactions with the world. The meaningful relation between agent and world is given by the precarious constitution of sensorimotor agency as a self-asserting network of schemes and dispositions. Acts are owned as they adaptively assert the constitution of the agent. Thus, awareness for different aspects of agency experience, such as the initiation of action, the effort exerted in controlling it, or the achievement of the desired effect, can be accounted for by processes involved in maintaining the sensorimotor organization that enables these interactions with the world. We discuss these processes in detail from a non-representational, dynamical perspective and show how they cohere with the personal experience of agency. (shrink)

It has been argued that Extended Cognition (EXT), a recently much discussed framework in the philosophy of cognition, would serve as the theoretical basis to account for the impact of Brain Computer Interfaces (BCI) on the self and life of patients with Locked-in Syndrome (LIS). In this paper I will argue that this claim is unsubstantiated, EXT is not the appropriate theoretical background for understanding the role of BCI in LIS. I will critically assess what a theory of the extended (...) self would comprise and provide a list of desiderata for a theory of self that EXT fails to accommodate for. There is, however, an alternative framework in Cognitive Science, Enactivism, which entails the basis for an account of self that is able to accommodate for these desiderata. I will outline some first steps towards an Enactive approach to the self, suggesting that the self could be considered as a form of human autonomy. Understanding the self from an enactive point of view will allow to shed new light on the questions of whether and how BCIs affect or change the selves of patients with LIS. (shrink)

We argue that living systems process information such that functionality emerges in them on a continuous basis. We then provide a framework that can explain and model the normativity of biological functionality. In addition we offer an explanation of the anticipatory nature of functionality within our overall approach. We adopt a Peircean approach to Biosemiotics, and a dynamical approach to Digital-Analog relations and to the interplay between different levels of functionality in autonomous systems, taking an integrative approach. We then apply (...) the underlying biosemiotic logic to a particular biological system, giving a model of the B-Cell Receptor signaling system, in order to demonstrate how biosemiotic concepts can be used to build an account of biological information and functionality. Next we show how this framework can be used to explain and model more complex aspects of biological normativity, for example, how cross-talk between different signaling pathways can be avoided. Overall, we describe an integrated theoretical framework for the emergence of normative functions and, consequently, for the way information is transduced across several interconnected organizational levels in an autonomous system, and we demonstrate how this can be applied in real biological phenomena. Our aim is to open the way towards realistic tools for the modeling of information and normativity in autonomous biological agents. (shrink)