The use of forward models is well established in cognitive and computational neuroscience. We compare and contrast two recent, but interestingly divergent, accounts of the place of forward models in the human cognitive architecture. On the Auxiliary Forward Model account, forward models are special-purpose prediction mechanisms implemented by additional circuitry distinct from core mechanisms of perception and action. On the Integral Forward Model account, forward models lie at the heart of all forms of perception and action. We compare these neighbouring (...) but importantly different visions and consider their implications for the cognitive sciences. We end by asking what kinds of empirical research might offer evidence favouring one or the other of these approaches. (shrink)

1. The Situation in Cognition 2. Situated Cognition: A Potted Recent History 3. Extensions in Biology, Computation, and Cognition 4. Articulating the Idea of Cognitive Extension 5. Are Some Resources Intrinsically Non-Cognitive? 6. Is Cognition Extended or Only Embedded? 7. Letting Nature Take Its Course.

Hohwy (Hohwy 2016, Hohwy 2017) argues there is a tension between the free energy principle and leading depictions of mind as embodied, enactive, and extended (so-called ‘EEE1 cognition’). The tension is traced to the importance, in free energy formulations, of a conception of mind and agency that depends upon the presence of a ‘Markov blanket’ demarcating the agent from the surrounding world. In what follows I show that the Markov blanket considerations do not, in fact, lead to the kinds of (...) tension that Hohwy depicts. On the contrary, they actively favour the EEE story. This is because the Markov property, as exemplified in biological agents, picks out neither a unique nor a stationary boundary. It is this multiplicity and mutability– rather than the absence of agent-environment boundaries as such - that EEE cognition celebrates. (shrink)

Recent work in computational and cognitive neuroscience depicts the brain as an ever‐active prediction machine: an inner engine continuously striving to anticipate the incoming sensory barrage. I briefly introduce this class of models before contrasting two ways of understanding the implied vision of mind. One way (Conservative Predictive Processing) depicts the predictive mind as an insulated inner arena populated by representations so rich and reconstructive as to enable the organism to ‘throw away the world’. The other (Radical Predictive Processing) stresses (...) the use of fast and frugal, action‐involving solutions of the kind highlighted by much work in robotics and embodied cognition. But it goes further, by showing how predictive schemes can combine frugal and more knowledge‐intensive strategies, switching between them fluently and continuously as task and context dictate. I end by exploring some parallels with work in enactivism, and by noting a certain ambivalence concerning internal representations and their role in the predictive mind. (shrink)

Is consciousness all in the head, or might the minimal physical substrate for some forms of conscious experience include the goings on in the (rest of the) body and the world? Such a view might be dubbed (by analogy with Clark and Chalmers’s ( 1998 ) claims concerning ‘the extended mind’) ‘the extended conscious mind’. In this article, I review a variety of arguments for the extended conscious mind, and find them flawed. Arguments for extended cognition, I conclude, do not (...) generalize to arguments for an extended conscious mind. (shrink)

This book offers a combined historical and aesthetic analysis of five novels from Philip Roth’s later career. It reads these works in the context of political, cultural, and literary developments in America from the New Deal to the present.

Of course, words aren’t magic. Neither are sextants, compasses, maps, slide rules and all the other paraphenelia which have accreted around the basic biological brains of homo sapiens. In the case of these other tools and props, however, it is transparently clear that they function so as to either carry out or to facilitate computational operations important to various human projects. The slide rule transforms complex mathematical problems (ones that would baffle or tax the unaided subject) into simple tasks of (...) perceptual recognition. The map provides geographical information in a format well-suited to aid complex planning and strategic military operations. The compass gathers and displays a kind of information that (most) unaided human subjects do not seem to command. These various tools and props thus act to generate information, or to store it, or to transform it, or some combination of the three. In so doing, they impact our individual and collective problem- solving capacities in much the same dramatic ways as various software packages impact the performance of a simple pc. (shrink)

A suitable project for the new Millenium is to radically reconfigure our image of human rationality. Such a project is already underway, within the Cognitive Sciences, under the umbrellas of work in Situated Cognition, Distributed and De-centralized Cogition, Real-world Robotics and Artificial Life1. Such approaches, however, are often criticized for giving certain aspects of rationality too wide a berth. They focus their attention on on such superficially poor cousins as.

Mind, it is increasingly fashionable to assert, is an intrinsically embodied and environmentally embedded phenomenon. But there is a potential tension between two strands of thought prominent in this recent literature. One of those strands depicts the body as special, and the fine details of a creature’s embodiment as a major constraint on the nature of its mind: a kind of new-wave body-centrism. The other depicts the body as just one element in a kind of equal-partners dance between brain, body (...) and world, with the nature of the mind fixed by the overall balance thus achieved: a kind of extended functionalism (now with an even broader canvas for multiple realizability than ever before). The present paper displays the tension, scouts the space of possible responses, and ends by attempting to specify what the body actually needs to be, given its complex role in these recent debates. (shrink)

There is a definite challenge in the air regarding the pivotal notion of internal representation. This challenge is explicit in, e.g., van Gelder, 1995; Beer, 1995; Thelen & Smith, 1994; Wheeler, 1994; and elsewhere. We think it is a challenge that can be met and that (importantly) can be met by arguing from within a general framework that accepts many of the basic premises of the work (in new robotics and in dynamical systems theory) that motivates such scepticism in the (...) first place. Our strategy will be as follows. We begin (Section 1) by offering an account (an example and something close to a definition) of what we shall term Minimal Robust Representationalism (MRR). Sections 2 & 3 address some likely worries and questions about this notion. We end (Section 4) by making explicit the conditions under which, on our account, a science (e.g., robot- ics) may claim to be addressing cognitive phenomena. (shrink)

We show that a popular class of connectionist models (which we label 'first order connectionism') looks unlikely to provide the kind of resources required by the hypothesis. We examine some alternative hybrid models that seem more promising. Finally, we raise a more purely philosophical issue concerning the conditions under which a being can count as a genuine believer or cognizer.".

Recent work in cognitive and computational neuroscience depicts the brain as in some sense implementing probabilistic inference. This suggests a puzzle. If the processing that enables perceptual experience involves representing or approximating probability distributions, why does experience itself appear univocal and determinate, apparently bearing no traces of those probabilistic roots? In this paper, I canvass a range of responses, including the denial of univocality and determinacy itself. I argue that there is reason to think that it is our conception of (...) perception itself that is flawed. Once we see perception aright, as the slave of action, the puzzlement recedes. Perceptual determinacy reflects only the mundane fact that we are embodied, active, agents who must constantly engage the world they perceptually encounter. (shrink)

Recent advances in cognitive science and cognitive neuroscience open up new vistas for human enhancement. Central to much of this work is the idea of new human-machine interfaces (in general) and new brain-machine interfaces (in particular). But despite the increasing prominence of such ideas, the very idea of such an interface remains surprisingly under-explored. In particular, the notion of human enhancement suggests an image of the embodied and reasoning agent as literally extended or augmented, rather than the more conservative image (...) of a standard (non-enhanced) agent using a tool via some new interface. In this essay, I explore this difference, and attempt to lay out some of the conditions under which the more radical reading (positing brand new integrated agents or systemic wholes) becomes justified. I adduce some empirical evidence suggesting that the radical result is well within our scientific reach. The main reason why this is so has less to do with the advancement of our science (though that certainly helps) than with our native biological plasticity. We humans, I shall try to show, are biologically disposed towards literal (and repeated) episodes of sensory re-calibration, of bodily re-configuration and of mental extension. Such potential for literal and repeated re-configuration is the mark of what I shall call "profoundly embodied agency," contrasting it with a variety of weaker (less philosophically and scientifically interesting) understandings of the nature and importance of embodiment for minds and persons. The article ends by relating the image of profound embodiment to some questions (and fears) concerning converging technologies for improving human performance. (shrink)

Connectionism and classicism, it appears, have at least this much in common: both place some notion of internal representation at the heart of a scientific study of mind. In recent years, however, a much more radical view has gained increasing popularily. This view calls into question the commitment to internal representation itself. more strikingly still, this new wave of anti-representationalism is rooted not in 'armchair' theorizing but in practical attempts to model and understand intelligent, adaptive behaviour. In this paper we (...) first present, and then critically assess, a variety of recent anti-representationalist treatments. We suggest that so far, at least, the sceptical rhetoric outpaces both evidence and argument. Some probable causes of this premature scepticism are isolated. nonetheless, the anti-representationalist challenge is shown to be both important and progressive insofar as it forces us to see beyond the bare representational/ non-represenational dichotomy and to recognize instead a rich continuum of degrees and types of represenatationality. (shrink)

Advanced biological brains are by nature open-ended opportunistic controllers. Such controllers compute, pretty much on a moment-to-moment basis, what problem-solving resources are readily available and recruit them into temporary problem-solving wholes. Neural plasticity, exaggerated in our own species, makes it possible for such resources to become factored deep into both our cognitive and physical problem-solving routines. One way to think about this is to depict the biological brain as a master of what I shall dub ‘ecological control’. Ecological control is (...) the kind of top-level control that does not micro-manage every detail, but rather encourages substantial devolvement of power and responsibility. This kind of control allows much of our skill at walking to reside in the linkages and elastic properties of muscles and tendons. And it allows much of our prowess at thought and reason to depend upon the robust and reliable operation, often in dense brain-involving loops, of a variety of non-biological problem-solving resources spread throughout our social and technological surround. Are the complex distributed systems that result in some sense ‘out of control’, beyond the reach of useful governance? I shall argue that they are not, although understanding them requires us to re-think some key ideas about control and the nature of the self. To make this case, I shall first examine some strategies for efficient, external opportunity exploiting control in simple systems. I shall then argue that many of the same lessons apply to the case of higher-level human problem-solving. (shrink)

How does language (spoken or written) impact thought? One useful way to approach this important but elusive question may be to consider language itself as a cognition-enhancing animal-built structure. To take this perspective is to view language as a kind of self-constructed cognitive niche. These self-constructed cognitive niches play, I suggest, three distinct but deeply interlocking roles in human thought and reason. Working together, these three interlocking routines radically transform the human mind, and mark a genuine discontinuity in the space (...) of anitnal minds. (shrink)

Advanced biological brains are by nature open-ended opportunistic controllers. Such controllers compute, pretty much on a moment-to-moment basis, what problem-solving resources are readily available and recruit them into temporary problem-solving wholes. Neural plasticity, exaggerated in our own species, makes it possible for such resources to become factored deep into both our cognitive and physical problem-solving routines. One way to think about this is to depict the biological brain as a master of what I shall dub ‘ecological control’. Ecological control is (...) the kind of top-level control that does not micro-manage every detail, but rather encourages substantial devolvement of power and responsibility. This kind of control allows much of our skill at walking to reside in the linkages and elastic properties of muscles and tendons. And it allows much of our prowess at thought and reason to depend upon the robust and reliable operation, often in dense brain-involving loops, of a variety of non-biological problem-solving resources spread throughout our social and technological surround. Are the complex distributed systems that result in some sense ‘out of control’, beyond the reach of useful governance? I shall argue that they are not, although understanding them requires us to re-think some key ideas about control and the nature of the self. To make this case, I shall first examine some strategies for efficient, external opportunity exploiting control in simple systems. I shall then argue that many of the same lessons apply to the case of higher-level human problem-solving. (shrink)

This paper offers two competing accounts of normative requirements, each of which purports to explain why some—but not all—requirements are normative in the sense of being related to normative reasons in some robust way. According to the reasons-sensitive view, normative requirements are those and only those which are sensitive to normative reasons. On this account, normative requirements are second-order statements about what there is conclusive reason to do, in the broad sense of the term. According to the reasons-providing view—which I (...) attribute to John Broome—normative requirements are those and only those which constitute or provide normative reasons. I argue that the reasons-providing view is susceptible to two serious objections. First, the view generates an explanatory gap. Secondly, the view is implausible. I argue that these two objections give us reason to prefer the reasons-sensitive view of normative requirements over the reasons-providing view. (shrink)

In a previous paper (Moore, 2001), the headline findings from a study of social and financial performance over three years of eight firms in the UK supermarket industry were reported. These were based on the derivation of a 16‐measure social performance index and a 4‐measure financial performance index. This paper discusses the formulationof the indices and then reports on: discussions with two supermarket firms concerning the overall results; inter‐relationships between individual financial performance measures; inter‐relationships between individual social performance measures; stakeholder (...) group analysis; and inter‐relationships between turnover, age and gearing with social performance measures. The paper discusses these inter‐relationships, incorporating comments from the interviews with the two supermarket firms, and reports on both factor and cluster analysis. The interviews lend support for Preston and O’Bannon’s (1997) Available Funding Hypothesis in both its positive and negative form. The findings show that there are individual or combinations of related measures that could be used as surrogate measures for social and financial performance, instead of deriving a full index. However, the recommendation is that a full index continues to be used until there is further corroboration of these results. The findings also provide statistically significant support for the Negative Synergy Hypothesis (Preston and O’Bannon, 1997), show a statistically significant association between pre‐tax profits (both lagged and contemporaneous) with community contributions, and show that all statistically significant associations between individual social performance measures are positive – suggesting that they are mutually reinforcing. The association of size with social performance, noted in the previous paper, is also reinforced. Findings in relation to the proportion of women managers and the number of women on the Board and positive associations with other social and environmental performance measures raise interesting gender issues for business ethics. Factor analysis leads to no clear conclusions but cluster does show two or three clear clusters of firms, where size would seem to be the main but not sole factor. Further areas of research are noted. (shrink)

There is growing evidence from the science of human behavior that our everyday, folk understanding of ourselves as conscious, rational, responsible agents may be mistaken. The new essays in this volume display and explore this radical claim. folk concept of the responsible agent after abandoning the image of a central executive and "decomposing" the notion of the conscious will into multiple interlocking aspects and functions.

The image of the presence of symbols in an inner code pervades recent debates in cognitive science. Classicists worship in the presence. Connectionists revel in the absence. However, the very ideas of code and symbol are ill understood. A major distorting factor in the debates concerns the role of processing in determining the presence or absence of a stuctured inner code. Drawing on work by David Kirsh and David Chambers, the present paper attempts to re-define such notions to begin to (...) reflect the inextrictability of code and presence. (shrink)

The use of forward models is well established in cognitive and computational neuroscience. We compare and contrast two recent, but interestingly divergent, accounts of the place of forward models in the human cognitive architecture. On the Auxiliary Forward Model account, forward models are special-purpose prediction mechanisms implemented by additional circuitry distinct from core mechanisms of perception and action. On the Integral Forward Model account, forward models lie at the heart of all forms of perception and action. We compare these neighbouring (...) but importantly different visions and consider their implications for the cognitive sciences. We end by asking what kinds of empirical research might offer evidence favouring one or the other of these approaches. (shrink)

What do linguistic symbols do for minds like ours, and how (if at all) can basic embodied, dynamical and situated approaches do justice to high-level human thought and reason? These two questions are best addressed together, since our answers to the first may inform the second. The key move in ‘scaling-up’ simple embodied cognitive science is, I argue, to take very seriously the potent role of human-built structures in transforming the spaces of human learning and reason. In particular, in this (...) paper I look at a range of cases involving what I dub ‘surrogate situations’. Here, we actively create restricted artificial environments that allow us to deploy basic perception-action- reason routines in the absence of their proper objects. Examples include the use of real-world models, diagrams and other concrete external symbols to support dense looping interactions with a variety of stable external structures that stand in for the absent states of affairs. (shrink)

Adams and Aizawa, in a series of recent and forthcoming papers ((2001), (In Press), (This Volume)) seek to refute, or perhaps merely to terminally embarrass, the friends of the extended mind. One such paper begins with the following illustration: "Question: Why did the pencil think that 2+2=4? Clark's Answer: Because it was coupled to the mathematician" Adams and Aizawa (this volume) ms p.1 "That" the authors continue "about sums up what is wrong with Clark's extended mind hypothesis". The example of (...) the pencil, they suggest, is just an especially egregious version of a fallacy said to pervade the literature on the extended mind. This fallacy, which they usefully dub the "coupling-constitution fallacy", is attributed , in varying degrees and manners, to Van Gelder and Port (1995), Clark and Chalmers (1998), Haugeland (1998), Dennett (2000), Clark (2001), Gibbs (2001), and Wilson (2004). The fallacy, of course, is to move from the causal coupling of some object or process to some cognitive agent, to the conclusion that the object or process is part of the cognitive agent , or part of the agent's cognitive processing (see e.g. Adams and Aizawa (This volume) ms p.2). Proponents of the extended mind and related theses, Adams and Aizawa repeatedly assert, are prone to this fallacy in part because they either ignore or fail to properly appreciate the importance of " the mark of the cognitive" viz the importance of an account of "what makes something a cognitive agent" (op cit ms p.3). The positive part of Adams and Aizawa's critique then emerges as a combination of the assertion that this "mark of the cognitive" involves the idea that "cognition is constituted by certain sorts of causal process that involve non-derived contents" (e.g. op cit ms p.3) and that these processes look to be characterized by psychological laws that turn out to apply to many internal goings-on but not currently (as a matter of contingent empirical fact) to any processes that take place in non-biological tools and artifacts. In what follows, I shall try to show why these arguments display nothing so much as mutual failures of communication: crossed wires concealing a couple of real, important, but much more subterranean, disagreements. In particular, I try to show why the negative considerations advanced by Adams and Aizawa fail to successfully undermine the argument for the extended mind, and why their more radical positive story, unless supplemented by implausible additional claims, fails to cast doubt on the claim that minds like ours can (without the need for any radically new techniques, technologies or interventions) extend into the world. (shrink)

How should linguistically formulated moral principles figure in an account of our moral understanding and practice?

Mind, it has recently been argued1, is a thoroughly temporal phenomenon: so temporal, indeed, as to defy description and analysis using the traditional computational tools of cognitive scientific understanding. The proper explanatory tools, so the suggestion goes, are instead the geometric constructs and differential equations of Dynamical Systems Theory. I consider various aspects of the putative temporal challenge to computational understanding, and show that the root problem turns on the presence of a certain kind of causal web: a web that (...) involves multiple components (both inner and outer) linked by chains of continuous and reciprocal causal influence. There is, however, no compelling route from such facts about causal and temporal complexity to the radical anti- computationalist conclusion. This is because, interactive complexities notwithstanding, the computational approach provides a kind of explanatory understanding that cannot (I suggest) be recreated using the alternative resources of pure Dynamical Systems Theory. In particular, it provides a means of mapping information flow onto causal structure -- a mapping that is crucial to understanding the distinctive kinds of flexibility and control characteristic of truly mindful engagements with the world. Where we confront especially complex interactive causal webs, however, it does indeed become harder to isolate the syntactic vehicles required by the computational approach. Dynamical Systems Theory, I conclude, may play a vital role in recovering such vehicles from the burgeoning mass of real-time interactive complexity. (shrink)

In _Action in Perception _Alva No develops and presents a sensorimotor account of vision and of visual consciousness. According to such an account seeing (and indeed perceiving more generally) is analysed as a kind of skilful bodily activity. Such a view is consistent with the emerging emphasis, in both philosophy and cognitive science, on the critical role of embodiment in the construction of intelligent agency. I shall argue, however, that the full sensorimotor model faces three important challenges. The first is (...) to negotiate a path between two prima facie unsatisfactory readings of the central claim that conscious perceptual experience is constituted by knowledge of patterns of sensorimotor dependence. The second is to convince us that the sensorimotor contribution, in such cases, is actually constitutive of perceptual experience rather than merely causally implicated in the origination of such experience.² And the third is to respond to the important challenge raised by what I will dub 'sensorimotor summarizing' models of the relation between conscious experience and richly detailed sensorimotor routines. According to such models³ conscious perceptual experience only rather indirectly reflects the rich detail of our actual sensorimotor engagements, which are instead lightly sampled as a coarse guide, optimized for planning and reasoning, and geared and filtered according to current needs and purposes. (shrink)

Recent work in "embodied, embedded" cognitive science links mental contents to large-scale distributed effects: dynamic patterns implicating elements of (what are traditionally seen as) sensing, reasoning and acting. Central to this approach is an idea of biological cognition as profoundly "action-oriented" - geared not to the creation of rich, passive inner models of the world, but to the cheap and efficient production of real-world action in real-world context. A case in point is Hurley's (1998) account of the profound role of (...) motor output in fixing the contents of conscious visual awareness - an account that also emphasizes distributed vehicles and long-range dynamical loops. Such stories can seem dramatically opposed to accounts, such as Milner and Goodale (1995), that stress relatively local mechanisms and that posit firm divisions between processes of visual awareness and of visuomotor action. But such accounts, I argue, can be deeply complimentary and together illustrate an important lesson. The lesson is that cognition may be embodied and action-oriented in two distinct - but complimentary - ways. There is a way of being embodied and action-oriented that implies being closely geared to the fine-grained control of low level effectors (hands, arms, legs and so on). And there is a way of being embodied and action-oriented that implies being closely geared to gross motor intentions, current goals, and schematic motor plans. Human cognition, I suggest, is embodied and action-oriented in both these ways. But the neural systems involved, and the size and scope of the key dynamic loops, may be quite different in each case. (shrink)

--œWhere Brain, Body, and World Collide--� reprinted by permission of Daedalus, Journal of the American Academy of Arts and Sciences, from the issue entitled, --œThe Brain,--� Spring 1998, Vol. 127, No. 2.

There is a lot that we don’t know. That means that there are a lot of possibilities that are, epistemically speaking, open. For instance, we don’t know whether it rained in Seattle yesterday. So, for us at least, there is an epistemic possibility where it rained in Seattle yesterday, and one where it did not. It’s tempting to give a very simple analysis of epistemic possibility: • A possibility is an epistemic possibility if we do not know that it does (...) not obtain. But this is problematic for a few reasons. One issue, one that we’ll come back to, concerns the first two words. The analysis appears to quantify over possibilities. But what are they? As we said, that will become a large issue pretty soon, so let’s set it aside for now. A more immediate problem is that it isn’t clear what it is to have de re attitudes towards possibilities, such that we know a particular possibility does or doesn’t obtain. Let’s try rephrasing our analysis so that it avoids this complication. (shrink)

The introduction of genetically modified (GM) crops and foods into Europe has generated considerable controversy. Despite a risk assessment system that is intended to beprecautionary in nature, the decisions thathave been taken have not gathered publicconfidence. Key attributes of a precautionaryappraisal system include humility,completeness, assessing benefits andjustifications, making comparisons, allowingfor public participation, transparency,diversity, and the ``mapping'' of alternativeviews rather than the prescription of singlesolutions. A comparison of the European GMregulatory system with a different (moreprecautionary) approach using a ``multi-criteriamapping'' technique reveals (...) a number ofproblems. These include the narrow framing ofthe established risk assessment system (therebyexcluding many issues of public concern), alack of public involvement in the process, anda failure to include appropriate comparisons ora diversity of options. Recent changes to theEuropean regulatory system only go part of theway to addressing these issues. Furthercontroversy may therefore be expected. However,practical ways of undertaking a morebroad-based precautionary approach are nowavailable (including the multi-criteria mappingmethod). These new approaches to technologyassessment offer a means for decision making toearn greater public confidence in this complexand difficult area. (shrink)

Much work in economics, the social sciences, and elsewhere takes as it starting oint a somewhat unrealistic conception of rationality- a conception that ignores or downplays both the temporal and the situated aspects of human reason. Biological reason, I shall argue, is better concieved as an iterated process of adaptive response made under extreme time pressure and exquisitely keyed to a variety of external structures and circumstances.

“The Matrix is a computer-generated dreamworld built to keep us under control” Morpheus, early in The Matrix. “ In dreaming, you are not only out of control, you don’t even know it…I was completely duped again and again the minute my pons, my amygdala, my perihippocampal cortex, my anterior cingulate, my visual association and parietal opercular cortices were revved up and my dorsolateral prefrontal cortex was muffled” ” J. Allan Hobson, The Dream Drugstore, p.64 The Matrix is an exercise in (...) ambivalence, and at the very heart of that ambivalence lies the Dream. In our dreams, we are not in control. Real dreaming, unlike many popular philosophers’ fictions, is an altered state, closely related to the states induced by chemical manipulations such as the use of (certain) medical or recreational drugs. The dreaming brain is not like the wakeful brain. Normal sensory input is blocked, attentional capacities are impaired or lost, memory is distorted, reasoning and logic are weakened, narratives run wild, self-reflection is dampened or destroyed, emotion and instinct are hyperstimulated, and forms of ‘top-down’ willed control and decision-making diluted and easily overwhelmed. (shrink)

In a short article in the May 2004 edition of Wired magazine (revealingly subtitled “Fear and Loathing on the Human‐Machine Frontier”) the futurist and science fiction writer Bruce Sterling sounds an increasingly familiar alarm. After warning us of the imminent dangers of “brain augmentation” he adds: Another troubling frontier is physical, as opposed to mental, augmentation. Japan has a rapidly growing elderly population and a serious shortage of caretakers. So Japanese roboticists … envision walking wheelchairs and mobile arms that manipulate (...) and fetch. But there's ethical hell at the interfaces, The peripherals may be dizzyingly clever gizmos but the CPU is a human being: old, weak, vulnerable, pitifully limited, possibly senile. (Sterling 2004: 116). (shrink)

Computational models of memory are often expressed as hierarchic sequence models, but the hierarchies in these models are typically fairly shallow, reflecting the tendency for memories of superordinate sequence states to become increasingly conflated. This article describes a broad-coverage probabilistic sentence processing model that uses a variant of a left-corner parsing strategy to flatten sentence processing operations in parsing into a similarly shallow hierarchy of learned sequences. The main result of this article is that a broad-coverage model with constraints on (...) hierarchy depth can process large newspaper corpora with the same accuracy as a state-of-the-art parser not defined in terms of sequential working memory operations. (shrink)

What is the relation between perceptual experience and the suite of sensorimotor skills that enable us to act in the very world we perceive? The relation, according to ‘sensorimotor models’ is tight indeed. Perceptual experience, on these accounts, is enacted via skilled sensorimotor activity, and gains its content and character courtesy of our knowledge of the relations between movement and sensory stimulation. I shall argue that this formulation is too extreme, and that it fails to accommodate the substantial firewalls, dis-integrations, (...) and specialpurpose streamings that form the massed strata of human cognition. In particular, such strong sensorimotor models threaten to obscure the computationally potent insensitivity of key information-processing events to the full subtleties of embodied cycles of sensing and moving. (shrink)

Dennett depicts human minds as both deeply different from, yet profoundly continuous with, the minds of other animals and simple agents. His treatments of mind, consciousness, free will and human agency all reflect this distinctive dual perspective. There is, on the one hand, the (in)famous Intentional Stance, relative to which humans, dogs, insects and even the lowly thermostat (e.g. Dennett (1998) p.327) are all pronounced capable of believing and desiring in essentially the same theoretical sense. And there is, on the (...) other hand, a noteworthy (and increasing) insistence that human minds are special in that they exhibit a distinctive kind of “informational organization”: one that confers consciousness (Dennett (1998) p.347), and creates the space for agency, purpose, self-control (Dennett (1984) p.100), and “significant suffering” (Dennett (1998) p.351). What follows is a critical examination of this dual perspective, and of Dennett’s account of the key factor that makes us special - human language and our immersion in the sea of culture (Dennett (1998) p.146, (1996) p.130, (in press) p.7). In particular, I shall ask whether Dennett’s dual perspective masks a deeper tension in his accounts of consciousness and personhood, and whether the appeal to the transformative power of human language and culture can bear the heavy explanatory burden Dennett places upon it. These turn out to be significant challenges but ones which also help clarify the scope and power of this complex, multi-layered account. I end by commenting briefly on the wider significance of Dennett’s project as a major contribution to current debates concerning the continuity (or otherwise) of evolved cognitive strategies and the essentially hybrid (biological and non-biological) nature of human minds and persons. (shrink)