View-based matching can be more than image matching:The importance of considering an animal's perspective

Using vision for navigation is important for many animals and a common debate is the extent to which spatial performance can be explained by “simple” view-based matching strategies. We discuss, in the context of recent work, how confusion between image-matching algorithms and the broader class of view-based navigation strategies, is hindering the debate around the use of vision in spatial cognition. A proper consideration of view-based matching strategies requires an understanding of the visual information available to a given animal within a particular experiment

Social Semiotics: Theorising Meaning Making

This chapter outlines a theoretical framework to account for practices of meaning making in health care and sets out an agenda for clinical educational research. It shows how meaning making pervades all aspects of clinical work and how it can be explored and made explicit within a framework derived from social semiotics. The chapter illustrates how the framework produces accounts of the ways in which clinicians make sense of and interact with the world, in situations where they give, review, and imagine care. It explores how clinicians interpret, and communicate through, human bodies, tools, and technologies, giving meaning to, and expressing meaning through, distinct material forms. In so doing, the chapter begins to render visible the semiotic skills that clinicians develop to prepare for, provide, and evaluate clinical care

A Bio-Logical Theory of Animal Learning

This article provides the foundation for a new predictive theory of animal learning that is based upon a simple logical model. The knowledge of experimental subjects at a given time is described using logical equations. These logical equations are then used to predict a subject’s response when presented with a known or a previously unknown situation. This new theory suc- cessfully anticipates phenomena that existing theories predict, as well as phenomena that they cannot. It provides a theoretical account for phenomena that are beyond the domain of existing models, such as extinction and the detection of novelty, from which “external inhibition” can be explained. Examples of the methods applied to make predictions are given using previously published results. The present theory proposes a new way to envision the minimal functions of the nervous system, and provides possible new insights into the way that brains ultimately create and use knowledge about the world

Speaking with things: Encoded researchers, social data, and other posthuman concoctions

We apply our heuristics for ‘interviewing’ nonhuman research participants (Adams and Thompson 2011) to the digital things of qualitative research itself: recording devices, data analysis software, and other sociomaterial concoctions recruited at different stages of contemporary research projects. We suggest that these ‘inorganic organized’ entities participate as co-researchers that inevitably extend but also disrupt research practice and knowledge construction, introducing new tensions and contradictions. Counterpointing phenomenology and Actor Network Theory, we usher some of the hidden and coded materialities of research practice into view, and glimpse unexpected realities co-enacted. Such immersive entanglements raise ethical questions about the posthumanist fluencies now demanded in social science research practice and we outline several considerations

Outline of a sensory-motor perspective on intrinsically moral agents

This is the accepted version of the following article: Christian Balkenius, Lola Cañamero, Philip Pärnamets, Birger Johansson, Martin V Butz, and Andreas Olson, ‘Outline of a sensory-motor perspective on intrinsically moral agents’, Adaptive Behaviour, Vol 24(5): 306-319, October 2016, which has been published in final form at DOI: https://doi.org/10.1177/1059712316667203 Published by SAGE ©The Author(s) 2016We propose that moral behaviour of artificial agents could (and should) be intrinsically grounded in their own sensory-motor experiences. Such an ability depends critically on seven types of competencies. First, intrinsic morality should be grounded in the internal values of the robot arising from its physiology and embodiment. Second, the moral principles of robots should develop through their interactions with the environment and with other agents. Third, we claim that the dynamics of moral (or social) emotions closely follows that of other non-social emotions used in valuation and decision making. Fourth, we explain how moral emotions can be learned from the observation of others. Fifth, we argue that to assess social interaction, a robot should be able to learn about and understand responsibility and causation. Sixth, we explain how mechanisms that can learn the consequences of actions are necessary for a robot to make moral decisions. Seventh, we describe how the moral evaluation mechanisms outlined can be extended to situations where a robot should understand the goals of others. Finally, we argue that these competencies lay the foundation for robots that can feel guilt, shame and pride, that have compassion and that know how to assign responsibility and blame.Peer reviewedFinal Accepted Versio

On Wayfaring in Social Machines

In this paper, we concern ourselves with the ways in which humans inhabit social machines: the structures and techniques which allow the enmeshing of multiple life traces within the flow of online interaction. In particular, we explore the distinction between transport and journeying, between networks and meshworks, and the different attitudes and modes of being appropriate to each. By doing this, we hope to capture a part of the sociality of social machines, to build an understanding of the ways in which lived lives relate to digital structures, and the emergence of the communality of shared work. In order to illustrate these ideas, we look at several aspects of existing social machines, and tease apart the qualities which relate to the different modes of being. The distinctions and concepts outlined here provide another element in both the analysis and development of social machines, understanding how people may joyfully and directedly engage with collective activities on the web

Taxonomic models of individual differences: A guide to transdisciplinary approaches

Models and constructs of individual differences are numerous and diverse. But detecting commonalities, differences and interrelations is hindered by the common abstract terms (e.g. ‘personality’, ‘temperament’, ‘traits’) that do not reveal the particular phenomena denoted. This article applies a transdisciplinary paradigm for research on individuals that builds on complexity theory and epistemological complementarity. Its philosophical, metatheoretical and methodological frameworks provide concepts to differentiate various kinds of phenomena (e.g. physiology, behaviour, psyche, language). They are used to scrutinize the field's basic concepts and to elaborate methodological foundations for taxonomizing individual variations in humans and other species. This guide to developing comprehensive and representative models explores the decisions taxonomists must make about which individual variations to include, which to retain and how to model them. Selection and reduction approaches from various disciplines are classified by their underlying rationales, pinpointing possibilities and limitations. Analyses highlight that individuals' complexity cannot be captured by one universal model. Instead, multiple models phenotypically taxonomizing different kinds of variability in different kinds of phenomena are needed to explore their causal and functional interrelations and ontogenetic development that are then modelled in integrative and explanatory taxonomies. This research agenda requires the expertise of many disciplines and is inherently transdisciplinary

Is this photograph taken? - The active (act of) collaboration with photography

Over more than thirty years of commercial and fine art photographic practice, I have often noticed remarkable disparities between the scenes, objects, events or moments ‘out there’ I had attempted to record – and the images within the resulting photographs. These (sometimes subtle, sometimes profound, but rarely anticipatable) disparities between what I had seen and what the photograph shows me offer the tantalising suggestion that there may be something else going on here – but something which the popular conception of photography may hinder our ability to recognise. This article explores the implications of four central assumptions implicit within the popular conception of photography which may impede new ways of thinking about photographic practice. Supported by a number of photographs that depict scenes, events and ‘moments’ which were not ‘taken’ but were created by the act of photographing them, I will suggest that new opportunities for practice may be available by ‘re-imagining’ the practice of photography as an active – or, as an act of – collaboration between medium and practitioner

Mapping migrant territories as topological deformations of space

Our research uses the concept of “territories” to describe the production of migrant space. The article describes a project based in London where the everyday practice of walking is used to map migrant territories, which are conceptualized as dispersed and overlapping, causing topological deformations to the actual lived space. We interrogate these deformations through focusing on the micro-scale and the everyday, mapping them as “scapes” and “spheres.” Using specific computational techniques, we transform the original walks into an architectural tool for investigating the fluctuations and flows of the contemporary city. In doing so, we approach territories from two distinct angles: from the geopolitical perspective of territories seen as the product of the interplay of politics, power, and space and from the biological perspective of territories seen as the primal need of all animals, including humans, for space and a certain distinction from their environment and from others