Modeling without representation

How can mathematical models which represent the causal structure of the world incompletely or incorrectly have any scientific value? I argue that this apparent puzzle is an artifact of a realist emphasis on representation in the philosophy of modeling. I offer an alternative, pragmatic methodology of modeling, inspired by classic papers by modelers themselves. The crux of the view is that models developed for purposes other than explanation may be justified without reference to their representational properties.     

The emergence of a shared action ontology: building blocks for a theory

To have an ontology is to interpret a world. In this paper we argue that the brain, viewed as a representational system aimed at interpreting our world, possesses an ontology too. It creates primitives and makes existence assumptions. It decomposes target space in a way that exhibits a certain invariance, which in turn is functionally significant. We will investigate which are the functional regularities guiding this decomposition process, by answering to the following questions: What are the explicit and implicit assumptions about the structure of reality, which at the same time shape the causal profile of the brain's motor output and its representational deep structure, in particular of the conscious mind arising from it (its "phenomenal output")? How do they constrain high-level phenomena like conscious experience, the emergence of a first-person perspective, or social cognition? By reviewing a series of neuroscientific results and integrating them with a wider philosophical perspective, we will emphasize the contribution the motor system makes to this process. As it will be shown, the motor system constructs goals, actions, and intending selves as basic constituents of the world it interprets. It does so by assigning a single, unified causal role to them. Empirical evidence demonstrates that the brain models movements and action goals in terms of multimodal representations of organism-object-relations. Under a representationalist analysis, this process can be conceived of as an internal, dynamic representation of the intentionality-relation itself. We will show how such a complex form of representational content, once it is in place, can later function as a functional building block for social cognition and for a more complex, consciously experienced representation of the first-person perspective as well.     

Prospects of enactivist approaches to intentionality and cognition

We discuss various implications of some radical anti-representationalist views of cognition and what they have to offer with regard to the naturalization of intentionality and the explanation of cognitive phenomena. Our focus is on recent arguments from proponents of enactive views of cognition to the effect that basic cognition is intentional but not representational and that cognition is co-extensive with life. We focus on lower rather than higher forms of cognition, namely the question regarding the intentional and representational nature of cognition found in organisms simpler than human beings, because enactivists do not deny that more sophisticated cognitive phenomena are representational and involve content. After introducing the debate on the naturalization of intentionality (Sect. 2), we briefly review different varieties of enactivism and introduce their central claims (Sect. 3). In Sect. 4 we turn to radical enactivism in order to focus on the arguments for a thoroughly non-representational, enactive account of perception and basic cognition. In particular, we discuss three major issues: First, what is supposed to replace the representational analysis of perception in a radical-enactive explanation of perception? How does the enactive explanation of perception compare to the best scientific work on the neuroscience of perception? Second, what is—on an enactive account—the function of neural processing in the brain for the generation of perception if not to produce representations? This question is especially pressing since one implication of autopoietic enactivism (accepted by radical enactivists) is that even the simplest organisms, i.e. single-celled organisms, have cognitive capacities (Sect. 5). Since they lack brains and nervous systems, enactivists must specify the (possibly) unique contribution of the brain and nervous system in those animals who have them. In Sect. 5, we evaluate the advantages of an autopoietic–enactive approach to the naturalization of intentionality and end with a suggestion how cognition may relate to intentionality and representation.

     

Expressivism and the Reliability Challenge

Suppose that there are objective normative facts and our beliefs about such facts are by-and-large true. How did this come to happen? This is the reliability challenge to normative realism. As has been recently noted, the challenge also applies to expressivist “quasi-realism”. I argue that expressivism is useful in the face of this challenge, in a way that has not been yet properly articulated. In dealing with epistemological issues, quasi-realists typically invoke the desire-like nature of normative judgments. However, this is not enough to prevent the reliability challenge from arising, given that quasi-realists also hold that normative judgments are truth-apt beliefs. To defuse this challenge, we need to isolate a deeper sense in which normative thought is not representational. I propose that we rely on the negative functional thesis of expressivism: normative thought does not have the function of tracking normative facts, or any other kind of facts. This thesis supports an argument to the effect that it is misguided to expect an explanation of our access to normative facts akin to the explanations available in regions of thought that have a tracking function. We should be content with explanations of our reliability that take for granted certain connections between our psychology and the normative truths.     

Towards a computational theory of experience

A standing challenge for the science of mind is to account for the datum that every mind faces in the most immediate – that is, unmediated – fashion: its phenomenal experience. The complementary tasks of explaining what it means for a system to give rise to experience and what constitutes the content of experience (qualia) in computational terms are particularly challenging, given the multiple realizability of computation. In this paper, we identify a set of conditions that a computational theory must satisfy for it to constitute not just a sufficient but a necessary, and therefore naturalistic and intrinsic, explanation of qualia. We show that a common assumption behind many neurocomputational theories of the mind, according to which mind states can be formalized solely in terms of instantaneous vectors of activities of representational units such as neurons, does not meet the requisite conditions, in part because it relies on inactive units to shape presently experienced qualia and implies a homogeneous representation space, which is devoid of intrinsic structure. We then sketch a naturalistic computational theory of qualia, which posits that experience is realized by dynamical activity-space trajectories (rather than points) and that its richness is measured by the representational capacity of the trajectory space in which it unfolds.     

The neural basis of cognitive development: a constructivist manifesto

How do minds emerge from developing brains? According to "neural constructivism," the representational features of cortex are built from the dynamic interaction between neural growth mechanisms and environmentally derived neural activity. Contrary to popular selectionist models that emphasize regressive mechanisms, the neurobiological evidence suggests that this growth is a progressive increase in the representational properties of cortex. The interaction between the environment and neural growth results in a flexible type of learning: "constructive learning" minimizes the need for prespecification in accordance with recent neurobiological evidence that the developing cerebral cortex is largely free of domain-specific structure. Instead, the representational properties of cortex are built by the nature of the problem domain confronting it. This uniquely powerful and general learning strategy undermines the central assumption of classical learnability theory, that the learning properties of a system can be deduced from a fixed computational architecture. Neural constructivism suggests that the evolutionary emergence of neocortex in mammals is a progression toward more flexible representational structures, in contrast to the popular view of cortical evolution as an increase in innate, specialized circuits. Human cortical postnatal development is also more extensive and protracted than generally supposed, suggesting that cortex has evolved so as to maximize the capacity of environmental structure to shape its structure and function through constructive learning.     

Developmental cognitive neuroscience: progress and potential

Developmental cognitive neuroscience is an evolving field that investigates the relations between neural and cognitive development. Lying at the intersection of diverse disciplines, work in this area promises to shed light on classic developmental questions, mechanisms subserving developmental change, diagnosis and treatment of developmental disorders, and cognitive and neuroscientific topics traditionally considered outside the domain of development. Fundamental questions include: What are the interrelations between developmental changes in the brain (e.g. in connectivity, chemistry, morphology) and developmental changes in children's behavior and cognitive abilities (e.g. representational complexity, ability to sustain selective attention, speed of processing)? Why, and how, is learning enhanced during certain periods in development? How is our knowledge organized, and how does this change with development? We discuss preliminary investigations of such questions and directions for future work.     

Representation for reciprocal agent–environment interaction

Declarative modelling approaches in principle assume a notion of representation or representational content for the modelling concepts. The notion of representational content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to representational content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the representational content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.     

CURRENT DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS

Abstract. The definition of an expert system as a knowledge-based source of advice and explanation pinpoints the critical problem which confronts the would-be builders of such systems. How is the required body of knowledge to be elicited from its human possessors in a form sufficiently complete for effective organization in computer memory? This article reviews recent advances in the art of automated knowledge-extraction from expert-supplied example decisions. Computer induction, as the new approach is called, promises both important parallels to the human capacity for concept formation and also commercial exploitability.     

Is Representation Rife?

This paper applies a teleosemantic perspective to the question of whether there is genuine representation outside the familiar realm of belief-desire psychology. I first explain how teleosemantics accounts for the representational powers of beliefs and desires themselves. I then ask whether biological states which are simpler than beliefs and desires can also have representational powers. My conclusion is that such biologically simple states can be ascribed representational contents, but only in a system-relative way: such states must be ascribed varying contents when viewed as components in different biological systems. I conclude by arguing that 'the genetic code' does not even embody this kind of system-relative representation.     

Propositional Attitudes and Embodied Skills in the Philosophy of Action

Propositionalism in the philosophy of action is the popular view that intentional actions are bodily movements caused and rationalized by certain ‘internal’ propositional attitude states that constitute the agent's perspective. I attack propositionalism's background claim that the genuinely mental/cognitive dimension of human action resides solely in some range of ‘internal’ agency‐conferring representational states that causally trigger, and thus are always conceptually disentangle‐able from, bodily activity itself. My opposing claim, following Ryle, Wittgenstein, and others, is that mentality and intentionality can be constitutively implicated in bodily actions themselves, as exercises of a distinctive form of embodied practical understanding. I attempt to show this by attending to the fine‐grained contours of various skillful actions.     

Review of Infant Mental Health papers

The paper of the Change Process Study Group of Boston addresses an unsolved conceptual problem: How does one codify intersubjective states? The transfer of concepts from infant research to the adult therapeutic dyad is more than an analogy in that certain primitive aspects of mind appear in infancy, but persist throughout life. The regulation of consciousness is one salient example. The adult therapeutic dyad and the mother–infant dyad can be viewed as self-regulating dynamic systems that are also self-reparative. The concept of implicit relational knowledge is offered as an alternative way of thinking about internal object relations. © 1998 Michigan Association for Infant Mental Health     

医患风险沟通：角色与信息匹配的视角

医患沟通失真常引发高误诊率、医患冲突。现有风险具体观和抽象观各自提出风险沟通模型,但存在诸多矛盾或不一致。通过引入角色与信息匹配视角,从建构水平理论提出事件体验(事件吸引力)和概率体验(概率敏感性)解释,有助于调和矛盾并提出建议：为医生匹配抽象风险信息、患者匹配具体风险信息,能减少沟通失真,提高风险沟通质量。未来需进一步深究个体差异对匹配效应的影响、探索匹配效应的生态效度、开发科学有效的沟通模式。     

Representations in dynamical embodied agents: re-analyzing a minimally cognitive model agent

Understanding the role of 'representations' in cognitive science is a fundamental problem facing the emerging framework of embodied, situated, dynamical cognition. To make progress, I follow the approach proposed by an influential representational skeptic, Randall Beer: building artificial agents capable of minimally cognitive behaviors and assessing whether their internal states can be considered to involve representations. Hence, I operationalize the concept of representing as 'standing in,' and I look for representations in embodied agents involved in simple categorization tasks. In a first experiment, no representation can be found, but the relevance of the task is undermined by the fact that agents with no internal states can reach high performance. A simple modification makes the task more "representationally hungry," and in this case, agents' internal states are found to qualify as representations. I conclude by discussing the benefits of reconciling the embodied-dynamical approach with the notion of representation.     

Précis of How children learn the meanings of words

Normal children learn tens of thousands of words, and do so quickly and efficiently, often in highly impoverished environments. In How Children Learn the Meanings of Words, I argue that word learning is the product of certain cognitive and linguistic abilities that include the ability to acquire concepts, an appreciation of syntactic cues to meaning, and a rich understanding of the mental states of other people. These capacities are powerful, early emerging, and to some extent uniquely human, but they are not special to word learning. This proposal is an alternative to the view that word learning is the result of simple associative learning mechanisms, and it rejects as well the notion that children possess constraints, either innate or learned, that are specifically earmarked for word learning. This theory is extended to account for how children learn names for objects, substances, and abstract entities, pronouns and proper names, verbs, determiners, prepositions, and number words. Several related topics are also discussed, including na?ve essentialism, children's understanding of representational art, the nature of numerical and spatial reasoning, and the role of words in the shaping of mental life.     

The Explanatory Ambitions of Moral Principles

Moral properties are explained by other properties. And moral principles tell us about moral properties. How are these two ideas related? In particular, is the truth of a given moral principle part of what explains why a given action has a given moral property? I argue “No.” If moral principles are merely concerned with the extension of moral properties across all possible worlds, then they cannot be partial explainers of facts about the instantiation of those properties, since in general necessitation does not suffice for explanation. And if moral principles are themselves about what explains the moral properties under their purview, then by their own lights they are not needed in order to explain those moral properties’ instantiation—unless, that is, the principles exhibit an objectionable form of metaphysical circularity. So moral principles cannot explain why individual actions have moral properties. Nor, I also argue, can they explain why certain other factors explain why those actions have the moral properties that they do, or in some other way govern or mediate such first‐order explanations of particular moral facts. When it comes to the explanation of an individual action's specific moral features, moral principles are explanatorily idle.     

Timeless Traces of Temporal Patterns

Long‐exposure photographs present distinctive philosophical challenges. They do not quite look like things in motion. Experiences of such photos take time, but not in a way that mimics the time of the motion depicted. In fact, it would not be off base to worry that these photos fail, strictly speaking, to depict motion or things‐in‐time. And if they fail to depict motion, then it is an interesting question what, if anything, they succeed in depicting. These timeless traces of temporal patterns are thus a challenge to how we understand pictures. In addition to being representations, however, such photographs are recordings. They witlessly register aspects of scenes in a manner that can be replayed. The following shows that recording is a valuable and neglected tool for investigating representational practices. Aspects of what photos record also figure in their representational contents, and this provides a way of approaching the photography of events in time. This article proceeds by framing, and then answering, three questions. First, what do photos record about temporal patterns? Second, which aspects of such recordings also show up in photos’ representational contents? And third, do these pictures depict, rather than merely represent, such temporal patterns?     

Why Does Time Seem to Pass?

According to the B‐theory, the passage of time is an illusion. The B‐theory therefore requires an explanation of this illusion before it can be regarded as fully satisfactory; yet very few B‐theorists have taken up the challenge of trying to provide one. In this paper I take some first steps toward such an explanation by first making a methodological proposal, then a hypothesis about a key element in the phenomenology of temporal passage. The methodological proposal focuses on the representational content of the element of experience by virtue of which time seems to pass. The hypothesis involves the claim that the experience of change involves the representation of something enduring, rather than perduring, through any change.