What would be an adequate theory of social understanding? In the last decade, the philosophical debate has focused on Theory Theory, Simulation Theory and Interaction Theory as the three possible candidates. In the following, we look carefully at each of these and describe its main advantages and disadvantages. Based on this critical analysis, we formulate the need for a new account of social understanding. We propose the Person Model Theory as an independent new account which has greater explanatory power compared (...) to the existing theories. (shrink)

A leading theoretical framework for naturalistic explanation of mind holds that we explain the mind by positing progressively "stupider" capacities ("homunculi") until the mind is "discharged" by means of capacities that are not intelligent at all. The so-called homuncular fallacy involves violating this procedure by positing the same capacities at subpersonal levels. I argue that the homuncular fallacy is not a fallacy, and that modern-day homunculi are idle posits. I propose an alternative view of what naturalism requires that reflects how (...) the cognitive sciences are actually integrating mind and matter. (shrink)

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)

Theory of Mind(ToM) is a neurocognitive system that allows the perceiver to attribute mental states, such as intentions, beliefs, or feelings, to others’ actions. The aim of the present work is to analyse the engagement of the ToM system in communication, in particular, in communicative intention processing. To this aim, we propose anIntention Processing Network(IPN) with its own principles and mechanisms, that is, a brain network differentially engaged according to the complex intertwining of the context, goal, and action involved. According (...) to our IPN model, a set of brain regions of the ToM system (i.e. left and right temporoparietal junction, precuneus, and medial prefrontal cortex) are differentially involved in comprehending different types of intention, such as private or social intentions. We provide independent and convergent evidence on the role of the IPN model in communicative intention processing and we show that the engagement of the IPN does not depend upon the communicative means used, that is, written language, auditory language, or gesture. Evidence deriving from different experimental paradigms, including neuroimaging, lesion, neurodegenerative, and brain stimulation studies are discussed. In our view, this evidence establishes a link between ToM and pragmatics studies and suggests the role of intention processing as a core feature of human communication. (shrink)