Topics in Cognitive Science, Volume 14, Issue 2, Page 327-343, April 2022.

In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various (...) approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book's concluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. Artificial Intelligence series. (shrink)

In the past, notions of embodiment have been applied to robotics mainly in the realm of very simple robots, and supporting low-level mechanisms such as dynamics and navigation. In contrast, most human-like, interactive, and socially adept robotic systems turn away from embodiment and use amodal, symbolic, and modular approaches to cognition and interaction. At the same time, recent research in Embodied Cognition (EC) is spanning an increasing number of complex cognitive processes, including language, nonverbal communication, learning, and (...) social behavior.This article suggests adopting a modern EC approach for autonomous robots interacting with humans. In particular, we present three core principles from EC that may be applicable to such robots: (a) modal perceptual representation, (b) action/perception and action/cognition integration, and (c) a simulation-based model of top-down perceptual biasing. We describe a computational framework based on these principles, and its implementation on two physical robots. This could provide a new paradigm for embodied human–robot interaction based on recent psychological and neurological findings. (shrink)

Although the advantage of biorobotics over traditional modelling tools is not always evident from the studies on animal search addressed in the target article, this commentary argues that testing different robotic architectures and specific biological organisms in structured search spaces, where environmental constraints matter, might prove one of the most promising research strategies in comparative cognition.

There are reasons to suspect that meta-cognition about construing social robots as depictions would be more difficult – or absent – than Clark and Fischer discuss. Self-reports about the cognitive processes involved might therefore tend to be incomplete or inaccurate, limiting their usefulness as measures.

Given (1) Wittgensteins externalist analysis of the distinction between following a rule and behaving in accordance with a rule, (2) prima facie connections between rule-following and psychological capacities, and (3) pragmatic issues about training, it follows that most, even all, future artificially intelligent computers and robots will not use language, possess concepts, or reason. This argument suggests that AIs traditional aim of building machines with minds, exemplified in current work on cognitive robotics, is in need of substantial revision.

The European Association for Cognitive Systems is the association resulting from the EUCog network, which has been active since 2006. It has ca. 1000 members and is currently chaired by Vincent C. Müller. We ran our annual conference on December 08-09 2016, kindly hosted by the Technical University of Vienna with Markus Vincze as local chair. The invited speakers were David Vernon and Paul F.M.J. Verschure. Out of the 49 submissions for the meeting, we accepted 18 a papers and 25 (...) as posters (after double-blind reviewing). Papers are published here as “full papers” or “short papers” while posters are published here as “short papers” or “abstracts”. Some of the papers presented at the conference will be published in a separate special volume on ‘Cognitive Robot Architectures’ with the journal Cognitive Systems Research. - RC, VCM, YS, MV. (shrink)

This chapter summarises the autors' work in embodied robotics, emphasising the need for scientific tools to measure chaos and sensitivity to intial conditions, the role of novelty and development, and the relevance of human behaviour in natural environments.

Cognitive Robotics can be defined as the study of cognitive phenomena by their modeling in physical artifacts such as robots. This is a very lively and fascinating field which has already given fundamental contributions to our understanding of natural cognition. Nonetheless, robotics has to date addressed mainly very basic, low­level cognitive phenomena like sensory­motor coordination, perception, and navigation, and it is not clear how the current approach might scale up to explain high­level human cognition. In this paper we (...) argue that a promising way to do that is to merge current ideas and methods of 'embodied cognition' with the Russian tradition of theoretical psychology which views language not only as a communication system but also as a cognitive tool, that is by developing a Vygotskyan Cognitive Robotics. We substantiate this idea by discussing several domains in which language can improve basic cognitive abilities and permit the development of high­level cognition: learning, categorization, abstraction, memory, voluntary control, and mental life. (shrink)

Much of what we know about cognitive mapping comes from observing how biological agents behave in their physical environments, and several of these ideas were implemented on robots, imitating such a process. In this paper a novel approach to cognitive mapping is presented whereby robots are treated as a species of their own and their cognitive mapping is being investigated. Such robots are referred to as Albots. The design of the first Albot, Albot0, is presented. Albot0 computes an imprecise map (...) and employs a novel method to find its way home. Both the map and the return-home algorithm exhibited characteristics commonly found in biological agents. What we have learned from Albot0’s cognitive mapping are discussed. One major lesson is that the spatiality in a cognitive map affords us rich and useful information and this argues against recent suggestions that the notion of a cognitive map is not a useful one. (shrink)

The frame problem is the difficulty of explaining how non-magical systems think and act in ways that are adaptively sensitive to context-dependent relevance. Influenced centrally by Heideggerian phenomenology, Hubert Dreyfus has argued that the frame problem is, in part, a consequence of the assumption (made by mainstream cognitive science and artificial intelligence) that intelligent behaviour is representation-guided behaviour. Dreyfus' Heideggerian analysis suggests that the frame problem dissolves if we reject representationalism about intelligence and recognize that human agents realize the property (...) of thrownness (the property of being always already embedded in a context). I argue that this positive proposal is incomplete until we understand exactly how the properties in question may be instantiated in machines like us. So, working within a broadly Heideggerian conceptual framework, I pursue the character of a representation-shunning thrown machine. As part of this analysis, I suggest that the frame problem is, in truth, a two-headed beast. The intra-context frame problem challenges us to say how a purely mechanistic system may achieve appropriate, flexible and fluid action within a context. The inter-context frame problem challenges us to say how a purely mechanistic system may achieve appropriate, flexible and fluid action in worlds in which adaptation to new contexts is open-ended and in which the number of potential contexts is indeterminate. Drawing on the field of situated robotics, I suggest that the intra-context frame problem may be neutralized by systems of special-purpose adaptive couplings, while the inter-context frame problem may be neutralized by systems that exhibit the phenomenon of continuous reciprocal causation. I also defend the view that while continuous reciprocal causation is in conflict with representational explanation, special-purpose adaptive coupling, as well as its associated agential phenomenology, may feature representations. My proposal has been criticized recently by Dreyfus, who accuses me of propagating a cognitivist misreading of Heidegger, one that, because it maintains a role for representation, leads me seriously astray in my handling of the frame problem. I close by responding to Dreyfus' concerns. (shrink)

This article presents a novel set of ten play scenarios for robot-assisted play for children with special needs. This set of scenarios is one of the key outcomes of the IROMEC project that investigated how robotic toys can become social mediators, encouraging children with special needs to discover a range of play styles, from solitary to collaborative play. The target user groups in the project were children with Mild Mental Retardation,1 children with Severe Motor Impairment and children with Autism. (...) The play scenarios were developed against specific educational and therapeutic objectives that were discussed with panels of experts in various countries, during several user panel meetings for each of the above mentioned target user groups. These objectives were classified with reference to the ICF-CY, the International Classification of Functioning – version for Children and Youth. The article presents a detailed description of the play scenarios, each with its relevant educational and therapeutic objectives in five key developmental areas. While the play scenarios described in this paper originally were developed for and tested with the above user groups and with the IROMEC robot, the play scenarios can potentially be applied to other user groups and to a wide range of other applications involving human-robot interaction using different robotic toys. Keywords: human-robot interaction; assistive technology; play scenarios; autism; mild mental retardation; sever motor impairment; assisted play. (shrink)

Social robots are robots designed to interact with humans or with each other in ways that approximate human social interaction. It seems clear that one question relevant to the project of designing such robots concerns how humans themselves interact to achieve social understanding. If we turn to psychology, philosophy, or the cognitive sciences in general, we find two models of social cognition vying for dominance under the heading of theory of mind: theory theory and simulation theory. It is therefore (...) natural and interesting to ask how a TT design for a social robot would differ from the ST version. I think that a much more critical question is whether either TT or ST provide an adequate explanation of social cognition. There is a growing although still minority consensus that, despite their dominance in the debate about social cognition, neither TT nor ST, nor some hybrid version of these theories, offers an acceptable account of how we encounter and interact with one another. In this paper I will give a brief review of the theory of mind debate, outline an alternative theory of social cognition based on an embodied interactive approach, and then try to draw out a few implications about social robotics. (shrink)

This Commentary critiques Paul Showler’s combination view of robot moral status, which combines sophisticated cognitive capacities like consciousness with highly valued machine-human relationships. Showler holds that a combined approach carries the advantage of more fully accounting for ordinary folk psychology views about of what it means to have moral standing and be a person. This commentary paper is largely sympathetic to Showler, but argues for a stronger view: being a person is a cluster concept that can include a combination of (...) different possible sufficient conditions, none of which is necessary. What must be constrained, then, is the strong claim that a quality is necessary for personhood. Since most approaches that appeal to sophisticated cognitive capacities make the strong claim, they require constraint. Since most approaches that appeal to highly valued relationships, do not make the stronger claim, they generally do not require constraint. (shrink)

The topic is characterized by a highly interdisciplinary approach to the issue of action and language integration. Such an approach, combining computational models and cognitive robotics experiments with neuroscience, psychology, philosophy, and linguistic approaches, can be a powerful means that can help researchers disentangle ambiguous issues, provide better and clearer definitions, and formulate clearer predictions on the links between action and language. In the introduction we briefly describe the papers and discuss the challenges they pose to future research. We identify (...) four important phenomena the papers address and discuss in light of empirical and computational evidence: (a) the role played not only by sensorimotor and emotional information but also of natural language in conceptual representation; (b) the contextual dependency and high flexibility of the interaction between action, concepts, and language; (c) the involvement of the mirror neuron system in action and language processing; (d) the way in which the integration between action and language can be addressed by developmental robotics and Human-Robot Interaction. (shrink)

Determining whether and/or how to enable older persons with disabilities to engage in sex raises several ethical considerations. With the goal of enabling the sexual functioning of older adults with disabilities, Jecker argues that sex robots could be used as a helpful tool. In her article, ‘Nothing to be Ashamed of: Sex Robots for Older Adults with Disabilities’, Jecker acknowledges the importance of sexual functioning and the fact that ageist assumptions incorrectly classify older persons as asexual. Additionally, older adults may (...) experience disabilities that negatively influence their sexual functioning, which is problematic since sex may be linked to the following capabilities: developing a meaningful life narrative; being healthy; experiencing bodily integrity; feeling and communicating emotions; affiliating with others and reflecting on and choosing a life plan.1 In accordance with Nussbaum’s capabilities approach,2 Jecker says that society has a duty to support these capabilities at a minimal threshold. And insofar as sexual functioning may be relevant to the capabilities for older adults with disabilities, then we need to respond accordingly. One way of achieving this aim is by providing access to sex robots. I agree that sex robots ought to be made available for older adults with disabilities. Nevertheless, the article inspires several areas for further exploration. As Jecker rightfully mentions, older adults are often incorrectly labelled as non-sexual. For instance, in their analysis of older individuals’ views on sex and quality of life, Gott …. (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)

Topics in Cognitive Science, Volume 14, Issue 2, Page 344-362, April 2022.

Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots (...) were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

As there is in the neuroscience of individuals engaged in dynamic interactions, similar dark matter is present in the domain of interaction between humans and cognitive robots. Progress in second-person neuroscience will contribute to the development of robotic cognitive systems, and such developed robotic systems will be used to test the validity of the underlying theories.

Robot ethics encompasses ethical questions about how humans should design, deploy, and treat robots; machine morality encompasses questions about what moral capacities a robot should have and how these capacities could be computationally implemented. Publications on both of these topics have doubled twice in the past 10 years but have often remained separate from one another. In an attempt to better integrate the two, I offer a framework for what a morally competent robot would look like and discuss a number (...) of ethical questions about the design, use, and treatment of such moral robots in society. Instead of searching for a fixed set of criteria of a robot’s moral competence I identify the multiple elements that make up human moral competence and probe the possibility of designing robots that have one or more of these human elements, which include: moral vocabulary; a system of norms; moral cognition and affect; moral decision making and action; moral communication. Juxtaposing empirical research, philosophical debates, and computational challenges, this article adopts an optimistic perspective: if robotic design truly commits to building morally competent robots, then those robots could be trustworthy and productive partners, caretakers, educators, and members of the human community. Moral competence does not resolve all ethical concerns over robots in society, but it may be a prerequisite to resolve at least some of them. (shrink)

A historical sketch of Autonomous Systems Research (ASR) is presented to show its roots in cybernetics, AI, Robotics, Cognitive Science, and in theoretical biology. These connections are considered in the light of the epistemology of human observers as a special kind of agents modeling other systems as representing and eventually realising autonomy. It is argued that ASR must primarily be understood as an opposition to traditional AI style ‘disembodied’ robotics, and that contemporary ASR provides a partial shift of focus towards (...) the organismic roots of cognition. Finally, it is suggested that a deeper understanding of situated autonomous systems as being a kind of complex self-organizing semiotic agents with emergent qualitative properties can be gained from the broad field of theoretical biology, including recent perspectives from Artificial Life, Evolutionary Systems, the Developmental Systems Approach, and Biosemiotics. Inspired by theoretical biology we suggest to investigate a new notion of autonomy that includes a qualitative aspect of the organism. (shrink)

Robotics can be seen as a cognitive technology, assisting us in understanding various aspects of autonomy. In this paper I will investigate a difference between the interpretations of autonomy that exist within robotics and philosophy. Based on a brief review of some historical developments I suggest that within robotics a technical interpretation of autonomy arose, related to the independent performance of tasks. This interpretation is far removed from philosophical analyses of autonomy focusing on the capacity to choose goals for oneself. (...) This difference in interpretation precludes a straightforward debate between philosophers and roboticists about the autonomy of artificial and organic creatures. In order to narrow the gap I will identify a third problem of autonomy, related to the issue of what makes one’s goals genuinely one’s own. I will suggest that it is the body, and the ongoing attempt to maintain its stability, that makes goals belong to the system. This issue could function as a suitable focal point for a debate in which work in robotics can be related to issues in philosophy. Such a debate could contribute to a growing awareness of the way in which our bodies matter to our autonomy. (shrink)

In so-called ethorobotics and robot-supported social cognitive neurosciences, robots are used as scientific tools to study animal behavior and cognition. Building on previous epistemological analyses of biorobotics, in this article it is argued that these two research fields, widely differing from one another in the kinds of robots involved and in the research questions addressed, share a common methodology, which significantly differs from the “synthetic method” that, until recently, dominated biorobotics. The methodological novelty of this strategy, the research opportunities (...) that it opens, and the theoretical and technological challenges that it gives rise to, will be discussed with reference to the peculiarities of the two research fields. Some broad methodological issues related to the generalization of results concerning robot-animal interaction to theoretical conclusions on animal-animal interaction will be identified and discussed. (shrink)

Epistemic limitations concerning prediction and explanation of the behaviour of robots that learn from experience are selectively examined by reference to machine learning methods and computational theories of supervised inductive learning. Moral responsibility and liability ascription problems concerning damages caused by learning robot actions are discussed in the light of these epistemic limitations. In shaping responsibility ascription policies one has to take into account the fact that robots and softbots - by combining learning with autonomy, pro-activity, reasoning, and planning - (...) can enter cognitive interactions that human beings have not experienced with any other non-human system. (shrink)

In disciplines traditionally studying expertise such as sociology, philosophy, and pedagogy, discussions of demarcation criteria typically centre on how and why human expertise differs from the expertise of artificial expert systems. Therefore, the demarcation criteria has been drawn between robots as formalized logical architectures and humans as creative, social subjects, creating a bipartite division that leaves out animals. However, by downsizing the discussion of animal cognition and implicitly intuiting assimilation of living organisms to robots, key features to explain why (...) human expertise is crucially different from robot expertise are neglected. In the absence of clarification of fundamental cognitive principles of LOs, cognitively robots may appear persuasively closer to humans when they are in fact not. In this paper, I will discuss essential features of organic cognition to emphasise why animals are not like robots at all. The purpose is to add a third category when comparing humans and robots to make a tripartite division that consists of humans LOs, and machines. I will argue that LOs, adapted to ever-changing circumstances, are qualitatively different from robots. Humans, in the sense of belonging to the biological class of LOs, also share this central feature. In addition, however, humans alone possess and use language in a way that turns cognition from a predominantly online to off-line activity, 625–635 2002) that introduces truly abstract thinking. In the end I introduce the concept of ‘Linguification’ to dissect the particular mechanisms sustaining abstract thinking in the explanation of what makes humans distinct from robots and LOs. (shrink)

While robots were traditionally built to achieve economic efficiency and financial profits, their roles are likely to change in the future with the aim to provide social support and companionship. In this research, we examined whether the robot’s proposed function (social vs. economic) impacts judgments of mind and moral treatment. Studies 1a and 1b demonstrated that robots with social function were perceived to possess greater ability for emotional experience, but not cognition, compared to those with economic function and whose (...) function was not mentioned explicitly. Study 2 replicated this finding and further showed that low economic value reduced ascriptions of cognitive capacity, whereas high social value resulted in increased emotion perception. In Study 3, robots with high social value were more likely to be afforded protection from harm, and such effect was related to levels of ascribed emotional experience. Together, the findings demonstrate a dissociation between function type (social vs. economic) and ascribed mind (emotion vs. cognition). In addition, the two types of functions exert asymmetric influences on the moral treatment of robots. Theoretical and practical implications for the field of social psychology and human-computer interaction are discussed. (shrink)

The uncanny valley—the unnerving nature of humanlike robots—is an intriguing idea, but both its existence and its underlying cause are debated. We propose that humanlike robots are not only unnerving, but are so because their appearance prompts attributions of mind. In particular, we suggest that machines become unnerving when people ascribe to them experience, rather than agency. Experiment 1 examined whether a machine’s humanlike appearance prompts both ascriptions of experience and feelings of unease. Experiment 2 tested whether a machine capable (...) of experience remains unnerving, even without a humanlike appearance. Experiment 3 investigated whether the perceived lack of experience can also help explain the creepiness of unfeeling humans and philosophical zombies. These experiments demonstrate that feelings of uncanniness are tied to perceptions of experience, and also suggest that experience—but not agency—is seen as fundamental to humans, and fundamentally lacking in machines. (shrink)

Many upper limb amputees experience an incessant, post-amputation “phantom limb pain” and report that their missing limbs feel paralyzed in an uncomfortable posture. One hypothesis is that efferent commands no longer generate expected afferent signals, such as proprioceptive feedback from changes in limb configuration, and that the mismatch of motor commands and visual feedback is interpreted as pain. Non-invasive therapeutic techniques for treating phantom limb pain, such as mirror visual feedback (MVF), rely on visualizations of postural changes. Advances in neural (...) interfaces for artificial sensory feedback now make it possible to combine MVF with a high-tech “rubber hand” illusion, in which subjects develop a sense of embodiment with a fake hand when subjected to congruent visual and somatosensory feedback. We discuss clinical benefits that could arise from the confluence of known concepts such as MVF and the rubber hand illusion, and new technologies such as neural interfaces for sensory feedback and highly sensorized robot hand testbeds, such as the “BairClaw” presented here. Our multi-articulating, anthropomorphic robot testbed can be used to study proprioceptive and tactile sensory stimuli during physical finger-object interactions. Conceived for artificial grasp, manipulation, and haptic exploration, the BairClaw could also be used for future studies on the neurorehabilitation of somatosensory disorders due to upper limb impairment or loss. A remote actuation system enables the modular control of tendon-driven hands. The artificial proprioception system enables direct measurement of joint angles and tendon tensions while temperature, vibration, and skin deformation are provided by a multimodal tactile sensor. The provision of multimodal sensory feedback that is spatiotemporally consistent with commanded actions could lead to benefits such as reduced phantom limb pain, and increased prosthesis use due to improved functionality and reduced cognitive burden. (shrink)

Social robotics entertains a particular relationship with anthropomorphism, which it neither sees as a cognitive error, nor as a sign of immaturity. Rather it considers that this common human tendency, which is hypothesized to have evolved because it favored cooperation among early humans, can be used today to facilitate social interactions between humans and a new type of cooperative and interactive agents - social robots. This approach leads social robotics to focus research on the engineering of robots that activate anthropomorphic (...) projections in users. The objective is to give robots "social presence" and "social behaviors" that are sufficiently credible for human users to engage in comfortable and potentially long-lasting relations with these machines. This choice of ’applied anthropomorphism’ as a research methodology exposes the artifacts produced by social robotics to ethical condemnation: social robots are judged to be a "cheating" technology, as they generate in users the illusion of reciprocal social and affective relations. This article takes position in this debate, not only developing a series of arguments relevant to philosophy of mind, cognitive sciences, and robotic AI, but also asking what social robotics can teach us about anthropomorphism. On this basis, we propose a theoretical perspective that characterizes anthropomorphism as a basic mechanism of interaction, and rebuts the ethical reflections that a priori condemns "anthropomorphism-based" social robots. To address the relevant ethical issues, we promote a critical experimentally based ethical approach to social robotics, "synthetic ethics," which aims at allowing humans to use social robots for two main goals: self-knowledge and moral growth. (shrink)

In this paper, I develop a view about machine autonomy grounded in the theoretical frameworks of 4E cognition and PF Strawson’s reactive attitudes. I begin with critical discussion of White, and conclude that his view is strongly committed to functionalism as it has developed in mainstream analytic philosophy since the 1950s. After suggesting that there is good reason to resist this view by appeal to developments in 4E cognition, I propose an alternative view of machine autonomy. Namely, machines (...) count as autonomous when we members of the moral community adopt reactive attitudes in response to their actions. I distinguish this view from White’s and suggest assets and liabilities of this approach. (shrink)

Robotic and Autonomous Agricultural Technologies (RAAT) are increasingly available yet may fail to be adopted. This paper focusses specifically on cognitive factors that affect adoption including: inability to generate trust, loss of farming knowledge and reduced social cognition. It is recommended that agriculture develops its own framework for the performance and safety of RAAT drawing on human factors research in aerospace engineering including human inputs (individual variance in knowledge, skills, abilities, preferences, needs and traits), trust, situational awareness and (...) cognitive load. The kinds of cognitive impacts depend on the RAATs level of autonomy, ie whether it has automatic, partial autonomy and autonomous functionality and stage of adoption, ie adoption, initial use or post-adoptive use. The more autonomous a system is, the less a human needs to know to operate it and the less the cognitive load, but it also means farmers have less situational awareness about on farm activities that in turn may affect strategic decision-making about their enterprise. Some cognitive factors may be hidden when RAAT is first adopted but play a greater role during prolonged or intense post-adoptive use. Systems with partial autonomy need intuitive user interfaces, engaging system information, and clear signaling to be trusted with low level tasks; and to compliment and augment high order decision-making on farm. (shrink)

The information in the working environment of industrial Internet is characterized by diversity, semantics, hierarchy, and relevance. However, the existing representation methods of environmental information mostly emphasize the concepts and relationships in the environment and have an insufficient understanding of the items and relationships at the instance level. There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of intelligent and (...) personalized service. Based on this, this paper designs a cognitive information representation model based on a knowledge graph, which combines the perceptual information of industrial robot ontology with semantic description information such as functional attributes obtained from the Internet to form a structured and logically reasoned cognitive knowledge graph including perception layer and cognition layer. Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. The automatic representation of robot perceived information is realized, and the universality, systematicness, and intuition of robot cognitive information representation are enhanced, so that the cognition reasoning ability and knowledge retrieval efficiency of robots in the industrial Internet environment can be effectively improved. (shrink)

Dynamic, embodied and situated cognition set up organism-environment interaction — agency for short — as the core of cognitive systems. Robotics became an important way to study this behavioral kernel of cognition. In this paper, we discuss the implications of what we call the biological grounding problem for robotic studies: Natural and artificial agents are hugely different and it will be necessary to articulate what must be replicated by artificial agents such as robots. Interestingly, once this issue (...) is explicitly raised, it seems that a full replication of biological features is required for cognition itself to be plausibly cast as a biological phenomenon. Several issues come to the fore once one takes this implication seriously. Why does a full biological interpretation of cognition remain so controversial? How does this impact the relevance of robotics for the study of cognition? We try to articulate and ease the various tensions that arise from this biological scenario. (shrink)

Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this lecture, I will present the TCL reasoning framework that has been developed to address the problem of dynamic, goal-directed, knowledge invention and will show how it has been applied to different case studies and applications in the areas of cognitive robotics, cognitive architectures (...) and computational creativity. (shrink)

According to a common philosophical distinction, the `original' intentionality, or `aboutness' possessed by our thoughts, beliefs and desires, is categorically different from the `derived' intentionality manifested in some of our artifacts –- our words, books and pictures, for example. Those making the distinction claim that the intentionality of our artifacts is `parasitic' on the `genuine' intentionality to be found in members of the former class of things. In Kinds of Minds: Toward an Understanding of Consciousness, Daniel Dennett criticizes that claim (...) and the distinction it rests on, and seeks to show that ``metaphysically original intentionality'' is illusory by working out the implications he sees in the practical possibility of a certain type of robot, i.e., one that generates `utterances' which are `inscrutable to the robot's designers' so that we, and they, must consult the robot to discover the meaning of its utterances. I argue that the implications Dennett finds are erroneous, regardless of whether such a robot is possible, and therefore that the real existence of metaphysically original intentionality has not been undermined by the possibility of the robot Dennett describes. (shrink)

Classic studies in human sensorimotor control use simplified tasks to uncover fundamental control strategies employed by the nervous system. Such simple tasks are critical for isolating specific features of motor, sensory, or cognitive processes, and for inferring causality between these features and observed behavioral changes. However, it remains unclear how these theories translate to complex sensorimotor tasks or to natural behaviors. Part of the difficulty in performing such experiments has been the lack of appropriate tools for measuring complex motor skills (...) in real-world contexts. Robot-assisted surgery (RAS) provides an opportunity to overcome these challenges by enabling unobtrusive measurements of user behavior. In addition, a continuum of tasks with varying complexity – from simple tasks such as those in classic studies to highly complex tasks such as a surgical procedure – can be studied using RAS platforms. Finally, RAS includes a diverse participant population of inexperienced users all the way to expert surgeons. In this perspective, we illustrate how the characteristics of RAS systems make them compelling platforms to extend many theories in human neuroscience, as well as, to develop new theories altogether. (shrink)

In this article, the authors examine whether and how robot caregivers can contribute to the welfare of children with various cognitive and physical impairments by expanding recreational opportunities for these children. The capabilities approach is used as a basis for informing the relevant discussion. Though important in its own right, having the opportunity to play is essential to the development of other capabilities central to human flourishing. Drawing from empirical studies, the authors show that the use of various types of (...) robots has already helped some children with impairments. Recognizing the potential ethical pitfalls of robot caregiver intervention, however, the authors examine these concerns and conclude that an appropriately designed robot caregiver has the potential to contribute positively to the development of the capability to play while also enhancing the ability of human caregivers to understand and interact with care recipients. (shrink)

This volume offers eleven philosophical investigations into our future relations with social robots--robots that are specially designed to engage and connect with human beings. The contributors present cutting edge research that examines whether, and on which terms, robots can become members of human societies. Can our relations to robots be said to be "social"? Can robots enter into normative relationships with human beings? How will human social relations change when we interact with robots at work and at home? The authors (...) of this volume explore these questions from the perspective of philosophy, cognitive science, psychology, and robotics. The first three chapters offer a taxonomy for the classification of simulated social interactions, investigate whether human social interactions with robots can be genuine, and discuss the significance of social relations for the formation of human individuality. Subsequent chapters clarify whether robots could be said to actually follow social norms, whether they could live up to the social meaning of care in caregiving professions, and how we will need to program robots so that they can negotiate the conventions of human social space and collaborate with humans. Can we perform joint actions with robots, where both sides need to honour commitments, and how will such new commitments and practices change our regional cultures? The authors connect research in social robotics and empirical studies in Human-Robot Interaction to recent debates in social ontology, social cognition, as well as ethics and philosophy of technology. -/- The book is a response to the challenge that social robotics presents for our traditional conceptions of social interaction, which presuppose such essential capacities as consciousness, intentionality, agency, and normative understanding. The authors develop insightful answers along new interdisciplinary pathways in "robophilosophy," a new research area that will help us to shape the "robot revolution," the distinctive technological change of the beginning 21st century. (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.

In this philosophical exploration, we investigate the concept of robotic moral environment interaction. The common view understands moral interaction to occur between agents endowed with ethical and interactive capacities. However, recent developments in moral philosophy argue that moral interaction also occurs in relation to the environment. Here conditions and situations of the environment contribute to human moral cognition and the formation of our moral experiences. Based on this philosophical position, we imagine robots interacting as moral environments—a novel conceptualization (...) of human–robot moral interaction with an inherent capacity for moral augmentation. To explicate this idea, we first define moral environments as moral systems providing moral affordances. We then intuit and explicate two constitutive conditions of moral environments: the environment’s moral ambiance and its moral atmosphere and compare them with real-life cases of moral environments—the moral landmarks. Based on these explications, we construct several explanatory cases to illustrate robots interacting as moral environments. Lastly, we set to evaluate the ethical challenges and wider social ramifications of using moral environment robots in the public space. (shrink)

Modern robotics is interested in developing humanoid robots with meta-cognitive capabilities in order to create systems that have the possibility of dealing efficiently with the presence of novel situations and unforeseen inputs. Given the relational nature of human beings, with a glimpse into the future of assistive robots, it seems relevant to start thinking about the nature of the interaction with such robots, increasingly human-like not only from the outside but also in terms of behavior. The question posed in this (...) abstract concerns the possibility of ascribing the robot not only a mind but a more profound dimension: a Self. (shrink)