‘Sentience’ sometimes refers to the capacity for any type of subjective experience, and sometimes to the capacity to have subjective experiences with a positive or negative valence, such as pain or pleasure. We review recent controversies regarding sentience in fish and invertebrates and consider the deep methodological challenge posed by these cases. We then present two ways of responding to the challenge. In a policy-making context, precautionary thinking can help us treat animals appropriately despite continuing uncertainty about their sentience. In (...) a scientific context, we can draw inspiration from the science of human consciousness to disentangle conscious and unconscious perception (especially vision) in animals. Developing better ways to disentangle conscious and unconscious affect is a key priority for future research. (shrink)

The aim of this paper is to explore the connections between semiotics and biology by examining the behaviors of both humans and non-cognizant agents, using Bayesian and heuristic inference. The argument is that higher-level organisms use complex predictive reasoning to deal with uncertainty, while non-cognizant species, such as SARS-CoV-2, rely on an economy-driven heuristic to enter host cells. From this viewpoint, the current pandemic is characterized as a clash of representations resulting from the anthropocentric construction of the self, which neglects (...) the complexities of the natural world. (shrink)

The evolutionary origin of consciousness has been a growing area of study in recent years. Nevertheless, there is intense debate on whether the existence of phenomenal consciousness without the cerebral cortex is possible. The corticocentrists have an empirical advantage because we are quasi-confident that we humans are conscious and have the well-developed cortex as the site of our consciousness. However, their prejudice can be an anthropic bias similar to the anthropocentric prejudice in pre-Darwinian natural history. In this paper, I propose (...) three basic principles to provide a conceptual basis for evolutionary studies of consciousness: the non-solipsistic principle, the evolution principle, and the anthropic principle. These principles collectively help us to avoid solipsism, anthropocentrism, and anthropomorphism to some degree, although we cannot be completely free from them. Also, the landscape metaphor associated with the anthropic principle provides an image of how different forms of consciousness can be acquired. (shrink)

In this paper, we demonstrate (1) how harnessing stochasticity can be the basis of creative agency; (2) that such harnessing can resolve the apparent conflict between reductionist (micro-level) accounts of behaviour and behaviour as the outcome of rational and value-driven (macro-level) decisions; (3) how neurophysiological processes can instantiate such behaviour; (4) The processes involved depend on three features of living organisms: (a) they are necessarily open systems; (b) micro-level systems therefore nest within higher-level systems; (c) causal interactions must occur across (...) all the boundaries between the levels of organization. The higher levels constrain the dynamics of lower levels. The experimental evidence and theoretical arguments are shown to be consistent with previous research on the neuronal mechanisms of conscious choice, and with the interconnected multi-level processes by which organisms harness stochasticity, whether conscious or unconscious. (shrink)

What distinguishes conscious information processing from other kinds of information processing is its phenomenal aspect (PAC), the-what-it-is-like for an agent to experience something. The PAC supplies the agent with a sense of self, and informs the agent on how its self is affected by the agent’s own operations. The PAC originates from the activity that attention performs to detect the state of what I define “the self” (S). S is centered and develops on a hierarchy of innate and acquired values, (...) and is primarily expressed via the central and peripheral nervous systems; it maps the agent’s body and cognitive capacities, and its interactions with the environment. The detection of the state of S by attention modulates the energy level of the organ of attention (OA), i.e., the neural substrate that underpins attention. This modulation generates the PAC. The PAC can be qualified according to five dimensions: qualitative, quantitative, hedonic, temporal and spatial. Each dimension can be traced back to a specific feature of the modulation of the energy level of the OA. (shrink)

All epistemic agents physically consist of parts that must somehow comprise an integrated cognitive self. Biological individuals consist of subunits (organs, cells, molecular networks) that are themselves complex and competent in their own context. How do coherent biological Individuals result from the activity of smaller sub-agents? To understand the evolution and function of metazoan bodies and minds, it is essential to conceptually explore the origin of multicellularity and the scaling of the basal cognition of individual cells into a coherent larger (...) organism. In this paper I synthesize ideas in cognitive science, evolutionary biology, and developmental physiology toward a hypothesis about the origin of Individuality: “Scale-Free Cognition”. I propose a fundamental definition of an Individual based on the ability to pursue goals at an appropriate level of scale and organization, and suggest a formalism for defining and comparing the cognitive capacities of highly diverse types of agents. Any Self is demarcated by a computational surface – the spatio-temporal boundary of events that it can measure, model, and try to affect. This surface sets a functional boundary - a cognitive “light cone” which defines the scale and limits of its cognition. I hypothesize that higher-level goal-directed activity and agency, resulting in larger cognitive boundaries, evolve from the primal homeostatic drive of living things to reduce stress – the difference between current conditions and life-optimal conditions. The mechanisms of developmental bioelectricity - the ability of all cells to form electrical networks that process information - suggests a plausible set of gradual evolutionary steps that naturally lead from physiological homeostasis in single cells to memory, prediction, and ultimately complex cognitive agents, via scale-up of the drive of infotaxis. Recent data on the molecular mechanisms of pre-neural bioelectricity suggest a model of how increasingly sophisticated cognitive functions emerge smoothly from cell-cell communication used to guide embryogenesis and regeneration. This set of hypotheses provides a novel perspective on numerous phenomena, such as cancer, and makes several unique, testable predictions for interdisciplinary research that have implications not only for evolutionary developmental biology but also for biomedicine and perhaps artificial intelligence and exobiology. (shrink)

The possible evolutionary significance of epigenetic memory and codes is a key problem for extended evolutionary synthesis and biosemiotics. In this paper, some less known original works are reviewed which highlight theoretical parallels between current evolutionary epigenetics, on the one hand, and its predecessors in the eco-physiology of higher nervous activity, on the other. Recently, these areas have begun to converge, with first evidence now indicating the possibility of transgenerational epigenetic inheritance of conditional associations in the mammalian nervous system, and (...) related findings in other taxa. This can serve as an interesting example of evolutionary code-making, where the molecular mechanisms underlying arbitrary associations between stimuli involve lasting changes in gene expression that may be transmitted epigenetically across generations, and which in some cases could be further assimilated into the genome over subsequent evolution. Although preliminary, such epigenetic scenarios would also offer an interesting, if so far overlooked parallel to earlier research carried out by one of I.P. Pavlov’s leading students, acad. P.K. Anokhin, and his colleagues, but also by eminent eco-physiologists of the time, several of whom offered arguments for the possibility of unconditional reflexes representing evolutionarily later, specialized, and reduced forms of associative reflexes, from which they may be derived. Although discarded under the growing dominance of modern synthesis, these early epigenetic investigations may deserve renewed attention in the modern context, and if further confirmed, could open essentially new perspectives on the morphofunctional evolution of the nervous system. (shrink)

We comment here on a target article by Eva Jablonka and Simona Ginsburg, which adds an interesting and important contribution to semiotic biology by their discussion of cognition and learning. In agreement with the aims and outlook of the authors, we offer a few observations about how the seminal biosemiotic concept of umwelt may be a critical tool to aid in this investigation of biological learning, knowing, being, and acting in the world. In particular, we would like to advance the (...) proposition that before the emergence of associative learning and consciousness, as those concepts are described here by the authors, there must be umwelt, understood as a sentient togetherness that appears together with the experience of a ‘specious present’. (shrink)

The scientific study of consciousness or subjective experiencing is a rapidly expanding research program engaging philosophers of mind, psychologists, cognitive scientists, neurobiologists, evolutionary biologists and biosemioticians. Here we outline an evolutionary approach that we have developed over the last two decades, focusing on the evolutionary transition from non-conscious to minimally conscious, subjectively experiencing organisms. We propose that the evolution of subjective experiencing was driven by the evolution of learning and we identify an open-ended, representational, generative and recursive form of associative (...) learning, which we call Unlimited Associative Learning (UAL), as an evolutionary transition marker of minimal consciousness. This evolutionary marker provides evidence that the evolutionary transition to consciousness has gone to completion and allows reverse-engineering from this learning capacity to the system that enables it – making possible the construction of a toy model of UAL. The model allows us to identify some of the key processes and structures that constitute minimal consciousness, points its taxonomic distribution and the ecological context in which it first emerged, highlights its function and suggests a framework for exploring developmental and evolutionary modifications of consciousness. We point to ways of experimentally testing the relationship between UAL and consciousness in human and in non-human animals and discuss the theoretical and ethical implications of our approach. The framework we offer allows the exploration of the evolutionary changes in agency, value systems, selective processes and goals that were involved in the transition to subjective experiencing from a perspective that resonates with the approaches of bio-semioticians. (shrink)

This commentary on the argument by Jablonka & Ginsburg ( 2022 ) that unlimited associative learning (UAL) provides an evolutionary marker for the transition to consciousness raises the question, “Transition to what?” The proposal that a level of consciousness required for UAL would embody eight specific criteria is credible, but can a limited degree of sentience still exist in animals that lack some of the criteria? The article makes a compelling case that UAL could serve as a marker for the (...) transition to an evolutionarily sustainable level of consciousness, but this may be different from _minimal_ consciousness. Nonetheless, the insight of these authors provides an exemplary roadmap for research on the evolutionary emergence of subjective experience in early animal evolution. (shrink)

While life in general can be explained by the mechanisms of physics, chemistry and biology, to many scientists and philosophers it appears that when it comes to explaining consciousness, there is what the philosopher Joseph Levine called an “explanatory gap” between the physical brain and subjective experiences. Here we deduce the living and neural features behind primary consciousness within a naturalistic biological framework, identify which animal taxa have these features (the vertebrates, arthropods, and cephalopod molluscs), then reconstruct when consciousness first (...) evolved and consider its adaptive value. We theorize that consciousness is based on all the complex system features of life, plus the even more complex features of elaborate brains. We argue that the main reason why the explanatory gap between the brain and experience has been so refractory to scientific explanation is that it arises from both life and from varied and diverse brains and brain regions, so bridging the gap requires a complex, multifactorial account that includes the great diversity of consciousness, its personal nature that stems from embodied life, and the special neural features that make consciousness unique in nature. (shrink)

Heyes argues that human metacognitive strategies (“cognitive gadgets” or “mills”) are the products of cultural evolution based on domain‐general cognition with few simple biases. Although like Heyes, we believe that the evolution of domain‐general cognitive processes played a crucial role in the evolution of human cognition, we argue that Heyes' distinction between mills and grist is too sharp, that associative learning evolved gradually to become more complex and hierarchical, something that is not captured by the system 1/system 2 distinction, and (...) that human cognitive plasticity required the genetic accommodation of gadget‐specific processes that led to more plasticity‐enhancing human‐specific biases. (shrink)

This paper addresses what we consider to be the most pressing challenge for the emerging science of consciousness: the measurement problem of consciousness. That is, by what methods can we determine the presence of and properties of consciousness? Most methods are currently developed through evaluation of the presence of consciousness in humans and here we argue that there are particular problems in application of these methods to nonhuman cases—what we call the indicator validity problem and the extrapolation problem. The first (...) is a problem with the application of indicators developed using the differences between conscious and unconscious processing in humans to the identification of other conscious vs. nonconscious organisms or systems. The second is a problem in extrapolating any indicators developed in humans or other organisms to artificial systems. However, while pressing ethical concerns add urgency to the attribution of consciousness and its attendant moral status to nonhuman animals and intelligent machines, we cannot wait for certainty and we advocate the use of a precautionary principle to avoid causing unintentional harm. We also intend that the considerations and limitations discussed in this paper can be used to further analyze and refine the methods of consciousness science with the hope that one day we may be able to solve the measurement problem of consciousness. (shrink)

Peter Carruthers argues that the global workspace theory implies there are no facts of the matter about animal consciousness. The argument is easily extended to other cognitive theories of consciousness, posing a general problem for consciousness studies. But the argument proves too much, for it also implies that there are no facts of the matter about human consciousness. A key assumption of the argument is that scientific theories of consciousness must explain away the explanatory gap. I criticize this assumption and (...) point to an alternative strategy for defending scientific theories of consciousness, one that better reflects the ongoing scientific practice. I argue there are introspectable inferential connections from phenomenal concepts to functional concepts that scientists can use to individuate the global workspace in terms of capacities that animals and humans share. (shrink)

Scientists disagree about which capacities a functional analysis of consciousness should target. To address this disagreement, I propose that a good functional analysis should target the etiological functions of consciousness. The trouble is that most hypotheses about the etiological origins of consciousness presuppose particular functional analyses. In recent years, however, a small number of scientists have begun to offer evolutionary hypotheses that are relatively theory neutral. I argue that their hypotheses can serve an independent standard for evaluating among theories of (...) consciousness. (shrink)

Over the past two decades, Ginsburg and Jablonka have developed a novel approach to studying the evolutionary origins of consciousness: the Unlimited Associative Learning framework. The central idea is that there is a distinctive type of learning that can serve as a transition marker for the evolutionary transition from non-conscious to conscious life. The goal of this paper is to stimulate discussion of the framework by providing a primer on its key claims and a clear statement of its main empirical (...) predictions. (shrink)

This article develops a biosemiotic ´hyper-narrative model´ for the purposes of investigating emergent motor behaviors. It proposes to understand such behaviors in terms of the following associations: the organization of information acquired from the environment, focusing on narrative; the organizational dynamics of epigenetic mechanisms that underly the neural processes facilitating the processing of information; and the evolution of emergent motor behaviors that enable the informational acquisition. The article describes and explains these associations as part of a multi-ordered and multi-causal generative (...) principle of biological phenotype emergence that supersedes the theory of the arbitrary coding of life. Preceeding from narrative’s operations in a biological dimension, the article presents scientific research dealing with the associations of action-oriented organization of narrative information and underlying psychological and physiological dynamics and depicts the relations with a distributed multi-directional mapping dynamic. The article presents the explanatory implications of such a hyper-narrative dynamic model on an example of emergent motor behaviors – bruxism. Central to this discussion is the exploration of the possible mechanisms of emergence and etiopathogenesis of bruxism, based on its neurobiology. The article takes the perspective that complex systems dynamics themselves with a tendency to narrative form are found not to be underlain merely by arbitrary coded mechanisms but, rather, biological neural networks that render context-dependent bio-informational mapping analogous to that of the narrative possible. (shrink)

This article comprehensively examines how information processing relates to attention and consciousness. We argue that no current theoretical framework investigating consciousness has a satisfactory and holistic account of their informational relationship. Our key theoretical contribution is showing how the dissociation between consciousness and attention must be understood in informational terms in order to make the debate scientifically sound. No current theories clarify the difference between attention and consciousness in terms of information. We conclude with two proposals to advance the debate. (...) First, neurobiological homeostatic processes need to be more explicitly associated with conscious information processing, since information processed through attention is algorithmic, rather than being homeostatic. Second, to understand subjectivity in informational terms, we must define information uniqueness in consciousness (e.g., irreproducible information, biologically encrypted information). These approaches could help cognitive scientists better understand conflicting accounts of the neural correlates of consciousness and work toward a more unified theoretical framework. (shrink)