Here I argue that the hyper-individualistic and rationalistic ethical paradigms – originating in the late eighteenth century and dominating moral philosophy, in various permutations, ever since – cannot capture the moral concerns evoked by the prospect of global climate change. Those paradigms are undone by the temporal and spatial scales of climate change. To press my argument, I deploy two famous philosophical tropes – John Rawls's notion of the original position and Derek Parfit's paradox – and another (...) that promises to become famous: Dale Jamieson's six little ditties about Jack and Jill. I then go on to argue that the spatial and especially the temporal scales of global climate change demand a shift in moral philosophy from a hyper-individualistic ontology to a thoroughly holistic ontology. It also demands a shift from a reason-based to a sentiment-based moral psychology. Holism in environmental ethics is usually coupled with non-anthropocentrism in theories constructed to provide moral considerability for transorganismic entities – such as species, biotic communities, and ecosystems. The spatial and temporal scales of climate, however, render non-anthropocentric environmental ethics otiose, as I more fully explain. Thus the environmental ethic here proposed to meet the moral challenge of global climate change is holistic but anthropocentric. I start with Jamieson's six little ditties about Jack and Jill. (shrink)

In this study I propose an epistemological discussion of multiple spatio-temporal scales in neuroscience. Are such scales merely convenient levels of description of structure and function, or do they correspond to irreducible levels of brain organization? What criteria should we employ in order to reduce one level to another, or to identify levels that are not reducible to others? Should we think of these criteria as based on empirical and/or theoretical reasons? Beginning with an empirical criterion – (...) the necessity of different experimental methodologies for the measurement of different phenomena in the same system – I summarize spatial and temporal scales currently used in neuroscience and discuss the possibility of a more general theoretical criterion. I conclude that multiscaling should be recognized as a central concept in the epistemology of neuroscience. (shrink)

Human–Human and Human–Robot Interaction are known to be influenced by a variety of modalities and parameters. Nevertheless, it remains a challenge to anticipate how a given mobile robot’s navigation and appearance will impact how it is perceived by humans. Drawing a parallel with vocal prosody, we introduce the notion of movement prosody, which encompasses spatio-temporal and appearance dimensions which are involved in a person’s perceptual experience of interacting with a mobile robot. We design a novel robot motion corpus, encompassing (...) variables related to the kinematics, gaze, and appearance of the robot, which we hypothesize are involved in movement prosody. Initial results of three perception experiments suggest that these variables have significant influences on participants’ perceptions of robot socio-affects and physical attributes. (shrink)

Introduction -- Conceptual analysis of resolution -- Ontology development method -- Resolution of single observations -- Resolution of observation collections -- Ontology design patterns for resolution -- Ontology of resolution -- implementation stage -- Conclusion.

An increasing number of users have been attracted by location-based social networks in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the human behavior movement from their spatiotemporal mobility patterns and spawns a large number of location-based applications. For instance, one of such applications is to produce personalized point of interest recommendations that users are interested in. Different from traditional recommendation methods, the recommendations in LBSNs come (...) with two vital dimensions, namely, geographical and temporal. However, previously proposed methods do not adequately explore geographical influence and temporal influence. Therefore, fusing geographical and temporal influences for better recommendation accuracy in LBSNs remains potential. In this work, our aim is to generate a top recommendation list of POIs for a target user. Specially, we explore how to produce the POI recommendation by leveraging spatiotemporal information. In order to exploit both geographical and temporal influences, we first design a probabilistic method to initially detect users’ spatial orientation by analyzing visibility weights of POIs which are visited by them. Second, we perform collaborative filtering by detecting users’ temporal preferences. At last, for making the POI recommendation, we combine the aforementioned two approaches, that is, integrating the spatial and temporal influences, to construct a unified framework. Our experimental results on two real-world datasets indicate that our proposed method outperforms the current state-of-the-art POI recommendation approaches. (shrink)

Qualitative reasoning about space and time - a reasoning at the human level - promises to become a fundamental aspect of future systems that will accompany us in daily activity. The aim of Spatial and Temporal Reasoning is to give a picture of current research in this area focusing on both representational and computational issues. The picture emphasizes some major lines of development in this multifaceted, constantly growing area. The material in the book also shows some common ground (...) and a novel combination of spatial and temporal aspects of qualitative reasoning. Part I presents the overall scene. The chapter by Laure Vieu is on the state of the art in spatial representation and reasoning, and that by Alfonso Gerevini gives a similar survey on research in temporal reasoning. The specific contributions to these areas are then grouped in the two main parts. In Part II, Roberto Casati and Achille Varzi examine the ontological status of spatial entities; Anthony Cohn, Brandon Bennett, John Gooday, and Nicholas Gotts present a detailed theory of reasoning with qualitative relations about regions; Andrew Frank discusses the spatial needs of geographical information systems; and Annette Herskovits focuses on the linguistic expression of spatial relations. In Part III, James Allen and George Ferguson describe an interval temporal logic for the representation of actions and events; Drew McDermott presents an efficient way of predicting the outcome of plan execution; and Erik Sandewall introduces a semantics based on transitions for assessing theories of action and change. In Part IV, Antony Galton's chapter stands clearly between the two areas of space and time and outlines the main coordinates of an integrated approach. (shrink)

In this paper we will propose an empirical analysis of spatial and temporal boundaries. Unlike other proposals, which deal mainly with the commonsense level of the subject, we will ground our explication on well-established scientific practice and language. In this way we show how to reconsider in an innovative way questions such as the distinction between the bona fide boundaries and the fiat boundaries, the thickness and the ownership of the boundaries. At the same time we propose a (...) division between ex mensura boundaries and qui vulgo dicuntur boundaries. What is it, therefore,that divides the atmosphere from the water?[Leonardo da Vinci, Notebooks]. (shrink)

The dorsal anterior cingulate cortex is a key node in the human salience network. It has been ascribed motor, pain-processing and affective functions. However, the dynamics of information flow in this complex region and how it responds to inputs remain unclear and are difficult to study using non-invasive electrophysiology. The area is targeted by neurosurgery to treat neuropathic pain. During deep brain stimulation surgery, we recorded local field potentials from this region in humans during a decision-making task requiring motor output. (...) We investigated the spatial and temporal distribution of information flow within the dACC. We demonstrate the existence of a distributed network within the anterior cingulate cortex where discrete nodes demonstrate directed communication following inputs. We show that this network anticipates and responds to the valence of feedback to actions. We further show that these network dynamics adapt following learning. Our results provide evidence for the integration of learning and the response to feedback in a key cognitive region. (shrink)

While the predominant focus of the philosophical literature on scientific modeling has been on single-scale models, most systems in nature exhibit complex multiscale behavior, requiring new modeling methods. This challenge of modeling phenomena across a vast range of spatial and temporal scales has been called the tyranny of scales problem. Drawing on research in the geosciences, I synthesize and analyze a number of strategies for taming this tyranny in the context of conceptual, physical, and mathematical modeling. (...) This includes several strategies that can be deployed in physical modeling, even when strict dynamical scaling fails. In all cases, I argue that having an adequate conceptual model—given both the nature of the system and the particular purpose of the model—is essential. I draw a distinction between depiction and representation, and use this research in the geosciences to advance a number of debates in the philosophy of modeling. (shrink)

This paper is about Hume on the impact of space and time on probability judgements and the passions. Hume's approach to probability judgements in space-time may be considered a precursor to recent work on the cognitive psychology of decision-making. When it comes to the passions, Hume’s observations on the effect of distance in time in particular can be compared to discussions of temporal discounting, central in disciplines such as behavioral economics, neuroscience, psychology, environmental policy, and recent debates in experimental (...) psychology and philosophy over future bias. (shrink)

Spatial and temporal scales are essential components of geological sciences; both are almost always imbricated in complex ways, challenging geoscientific knowledge among nonspecialists and students. The present paper focuses on the efforts made by the French naturalist Simon-Suzanne Nérée Boubée (1806–62) regarding popular education on geology. Though Boubée is poorly known nowadays, he experienced some prestige during his lifetime. He worked as an independent teacher, offering private as well as free public courses. Boubée, as a nineteenth-century science (...) popularizer, repeatedly insisted on his disposition for “spreading science for all.” He extensively published books and journals on geology, all aimed at popularizing geological scientific knowledge, considered to be of paramount relevance. This paper analyzes three visual examples extracted from his works: the Tableau Mnémonique des Terrains Primitifs, destiné au géologue voyageur, avec son explication (1831), the Tableau de l’État du Globe à ses différents âges (1832), and the Tableau figuratif de la structure minérale du globe, ou résumé synoptique du Cours de géognosie de M. N. Boubée (1839), supplemented with images from the travel guide Deux Promenades au Mont Doré (1834). Our goal is to understand Boubée’s efforts to synthesize information, scaling down geologic time and space into foldable materials that made geological knowledge cognitively and materially accessible to laypeople. (shrink)

Much of the scientific process involves “selective ignorance”: we include certain aspects of the systems we are considering and ignore others. This is inherent in the models that we utilize as proxies for biological systems. Our goal usually is to isolate components of these systems and consider them at only certain temporal and spatial scales. The scales and questions induce different metrics for what might be considered a “good” model. The study of mathematical and computational models (...) is replete with differing views of the terms verification, validation, corroboration, and so on. I have often argued that criteria for determination of model utility should be established prior to model construction, but this is rarely done in the application of models in biology. The question I address is whether it is feasible to develop a general approach to model evaluation, that includes all the forms of models typically applied in biology—animal and cell/tissue culture ones as well as mathematical and computational ones. (shrink)

Emotional stimuli are consistently better remembered than neutral stimuli. However, the reported effects of emotional stimuli on source memory are less consistent. In four experiments, we examined spatial and temporal source memory and free recall for emotional words previously studied in an fMRI experiment. In the fMRI experiment, the unpleasant but not the pleasant words were shown to activate the amygdala. In the experiments reported here, spatial and temporal source memory were reduced for the unpleasant words (...) compared to pleasant and neutral words. Reduced spatial memory for unpleasant words was observed across studies that varied the specific stimuli, task conditions, and incidental versus intentional encoding instructions. Free recall was enhanced for the pleasant and unpleasant words compared to neutral words. The results demonstrate reduced source memory for unpleasant words even when item recall is enhanced. Our findings are consistent with prior reports of amygdala-mediated amnestic effects evoked by unpleasant stimuli. (shrink)

Crowd behaviour challenges our fundamental understanding of social phenomena. Involving complex interactions between multiple temporal and spatial scales of activity, its governing mechanisms defy conventional analysis. Using 1.5 million Twitter messages from the 15M movement in Spain as an example of multitudinous self-organization, we describe the coordination dynamics of the system measuring phase-locking statistics at different frequencies using wavelet transforms, identifying 8 frequency bands of entrained oscillations between 15 geographical nodes. Then we apply maximum entropy inference methods (...) to describe Ising models capturing transient synchrony in our data at each frequency band. The models show that all frequency bands of the system operate near critical points of their parameter space and while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a diversity of metastable states of partial synchronization. Furthermore, describing the state at each frequency band using the energy of the corresponding Ising model, we compute transfer entropy to characterize cross-scale interactions between frequency bands, showing a cascade of upward information flows in which each frequency band influences its contiguous slower bands and downward information flows where slow frequencies modulate distant fast frequencies. (shrink)

Toxic plants have been used for years in agriculture to control major crop pests. However, the continuous exposure of targeted pests to toxins dramatically increases the rate of resistance evolution (Gassman et al. in Annu Rev Entomol 54:147–163, 2009a ; Tabashnik et al. Nat Biotechnol 26:199–202, 2008 ). To prevent or delay resistance, non toxic host plants can be used as refuges. Our study considers spatial and temporal refuges that are respectively implemented concurrently or alternatively a toxic crop. (...) A conceptual model based on impulsive differential equations is proposed to describe the dynamics of the susceptible and resistant pest populations over time. The mathematical study enlightens threshold values of the proportion of the spatial refuge and key parameters that should help to understand evolution of pest resistance to toxic crop. (shrink)

Fielding discusses how Michel Foucault and Maurice Merleau-Ponty view spatial and temporal bodies. Foucault dismisses the understanding of an inside soul surrounded by a body.

Fielding discusses how Michel Foucault and Maurice Merleau-Ponty view spatial and temporal bodies. Foucault dismisses the understanding of an inside soul surrounded by a body.

The concept of agency is of crucial importance in cognitive science and artificial intelligence, and it is often used as an intuitive and rather uncontroversial term, in contrast to more abstract and theoretically heavy-weighted terms like “intentionality”, “rationality” or “mind”. However, most of the available definitions of agency are either too loose or unspecific to allow for a progressive scientific program. They implicitly and unproblematically assume the features that characterize agents, thus obscuring the full potential and challenge of modeling agency. (...) We identify three conditions that a system must meet in order to be considered as a genuine agent: a) a system must define its own individuality, b) it must be the active source of activity in its environment (interactionalasymmetry) and c) it must regulate this activity in relation to certain norms (normativity). We find that even minimal forms of proto-celular systems can already provide a paradigmatic example of genuine agency. By abstracting away some specific details of minimal models of living agency we define the kind of organization that is capable to meet the required conditions for agency (which is not restricted to living organisms). On this basis, we define agency as an autonomous organization that adaptively regulates its coupling with its environment and contributes to sustaining itself as a consequence. We find that spatiality and temporality are the two fundamental domains in which agency spans at different scales. We conclude by giving an outlook to the road that lies ahead in the pursuit to understand, model and synthesis agents. (shrink)

There is much discussion about the concept of self and its relation to personal identity in both philosophy and neuroscience. I here propose a “spatiotemporal model” of identity that is based on various empirical findings in recent neuroscience. I propose that the temporal features of identity as pointed out in my spatiotemporal model provide the temporal ground of the self and its continuity over time on the basis of the scale-free and temporally-structured neuronal activity in the brain’s spontaneous (...) activity in cortical midline structures. Moreover, I characterize such self-continuity by spatiotemporal memory that encodes spatial and temporal structures signifying events as distinguished from the encoding of contents as in a cognitive memory. I conclude that such spatiotemporal model of self and personal identity does not only provide a proper conceptual account of the empirical data but also novel conceptualizations that are relevant to the philosophical discussion. (shrink)

How do we understand time and other entities we can neither touch nor see? One possibility is that we tap into our concrete, experiential knowledge, including our understanding of physical space and motion, to make sense of abstract domains such as time. To examine how pervasive an aspect of cognition this is, we investigated whether thought about a nonliteral type of motion called fictive motion (FM; as in The road runs along the coast) can influence thought about time. Our results (...) suggest that FM uses the same structures evoked in understanding literal motion, and that these literal aspects of FM influence temporal reasoning. (shrink)

The article considers the spatial and temporal changes manifested in the virtual form of gamification of existence. The definition of the virtual form of gamification of existence is given. On the basis of included observation, the spatial and temporal transformations of socio-cultural reality are rethought, and the philosophical-anthropological approach makes it possible to establish the dependence of the strategies of individual and group behaviour on the inclusion of game actions in the virtual existence. The analysis of (...) the virtual form of gamification of existence as an event and as a co-being is given. The virtual form of gamification of existence is supported by artificially created events, presented as serious incidents, replaced by new ones for tomorrow. The transformation of the structure of free time is considered, which allows transferring most of the life of a contemporary into leisure. The spatial and temporal model of the virtual form of gamification of human existence visually and mentally dissolves the contemporary in the virtual gaming environment. A contemporary, acting out the events, appears in the form of bricolage, multiple images demonstrating strategies of both personal and group behavior. In the virtual interface, time becomes human-sized, allowing in others to see themselves. The space-time boundaries of the virtual form of gamification of existence negate the authenticity of real life, replacing and displacing it with experimental simulation that forms dependence. (shrink)

In this paper I will contrast the current situation concerning the explanatory relation between neuroscientific and philosophical accounts of our spatial and temporal experience. Evans’ account of “egocentric experience’ and Husserl’s analysis of temporal awareness are respectively taken to represent the philosophical side, while Pouget’s basis functions theory and Grush’s trajectory estimation theory act respectively as representatives of the neuroscientific camp. I inquire specifically about the respective chances of these representative neuroscientific theories to explain aspects of the (...) ordinary spatial and temporal phenomenology, as this phenomenology is accounted for by those well-known philosophical theories. I will argue that, in this respect, the spatial and temporal cases present a strong contrast: while in the spatial case the claim that neuroscientific theories explain some aspects of the phenomenology would be defensible, nothing of this sort is in sight in the temporal case. (shrink)

The study of the contrast between fundamental aspects of spatial and temporal awareness offers a good opportunity to bring to light the relation between philosophical and scientific theories of consciousness. In this paper we critically examine important work by Rick Grush on spatial and temporal experience, and we show that while there is a valid claim for the relevant neuroscientific model to be one that supports Gareth Evans's stance on "behavioral space", there is not at present (...) any scientific model that offers comparable support for philosophical theories of temporal experience, despite some claims by Grush that might suggest the contrary. Moreover, we argue that careful attention to the spatial case allows us to locate the point at which even relatively successful cases of neuroscientific modeling and explanation are left wanting when their aim is to show that phenomenal features of experience are a function of the representational structures produced by our neural information-processing machinery: an aim widely shared by the predominant programmatic stance in current neuroscience research. (shrink)

This paper reviews Hume's arguments concerning space and time in the second part of the first book of the _Treatise_. It is argued that Hume's views on the finite divisibility of our ideas of space and time and on space and time as manners of disposition are coherent and well-defended. The same cannot be said about his views on vacuum and the impossibility of temporal passage in the absence of change.

The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain–body–niche systems, promises conceptual and methodological advances. In this article we focus on two of these. First, the fundamental interdependence among brain, body, and niche makes it possible to explain extended cognition without invoking representations or computation. Second, (...) cognition and conscious experience can be understood as a single phenomenon, eliminating fruitless philosophical discussion of qualia and the so-called hard problem of consciousness. What we call “extended phenomenological-cognitive systems” are relational and dynamical entities, with interactions among heterogeneous parts at multiple spatial and temporal scales. (shrink)

RésuméNous étudions dans quelle mesure la Voie lactée a été utilisée comme outil d'orientation au début de la période islamique couvrant du 8e au 15e siècle, avec un accent sur la première moitié de cette période. Nous comparons les textes de trois auteurs au cours de trois périodes différentes et donnons des commentaires détaillés sur leur contenu astronomique et traditionnel. Le texte d'al-Marzūqī résume les informations sur la Voie lactée proposées par l'astronome et géographe ʾAbū Ḥanīfa al-Dīnawarī. Le texte indique (...) clairement que dans certaines régions, la Voie lactée pourrait être utilisée comme guide géographique pour déterminer la direction approximative vers une région terrestre ou la direction de la prière. Au 15e siècle, le célèbre navigateur Aḥmad b. Māǧid décrit la Voie lactée dans ses instructions nautiques. Il démontre fréquemment que la Voie lactée sert de guide pour trouver des constellations et des étoiles utiles pour une navigation précise sur terre et sur mer. D'autre part, dans sa description de la Voie lactée, Ibn Qutayba cite un vers du poète Ḏū al-Rumma également mentionné par al-Marzūqī. La Voie lactée y est utilisée pour indiquer les heures chaudes de l’été durant lesquelles voyager dans le désert était particulièrement difficile. Par conséquent, la Voie lactée était utile pour l'orientation dans l'espace et le temps et a été utilisée pour l'agriculture et à des fins de navigation. (shrink)

Mesoscale modeling is often considered merely as a practical strategy used when information on lower-scale details is lacking, or when there is a need to make models cognitively or computationally tractable. Without dismissing the importance of practical constraints for modeling choices, we argue that mesoscale models should not just be considered as abbreviations or placeholders for more “complete” models. Because many systems exhibit different behaviors at various spatial and temporal scales, bottom-up approaches are almost always doomed to (...) fail. Mesoscale models capture aspects of multi-scale systems that cannot be parameterized by simple averaging of lower-scale details. To understand the behavior of multi-scale systems, it is essential to identify mesoscale parameters that “code for” lower-scale details in a way that relate phenomena intermediate between microscopic and macroscopic features. We illustrate this point using examples of modeling of multi-scale systems in materials science and biology, where identification of material parameters such as stiffness or strain is a central step. The examples illustrate important aspects of a so-called “middle-out” modeling strategy. Rather than attempting to model the system bottom-up, one starts at intermediate scales where systems exhibit behaviors distinct from those at the atomic and continuum scales. One then seeks to upscale and downscale to gain a more complete understanding of the multi-scale system. The cases highlight how parameterization of lower-scale details not only enables tractable modeling but is also central to understanding functional and organizational features of multi-scale systems. (shrink)