It is well-established that toddlers can correctly select a novel referent from an ambiguous array in response to a novel label. There is also a growing consensus that robust word learning requires repeated label-object encounters. However, the effect of the context in which a novel object is encountered is less well-understood. We present two embodied neural network replications of recent empirical tasks, which demonstrated that the context in which a target object is encountered is fundamental to referent selection and word (...) learning. Our model offers an explicit account of the bottom-up associative and embodied mechanisms which could support children’s early word learning and emphasises the importance of viewing behaviour as the interaction of learning at multiple timescales. (shrink)

Improvisation is ubiquitous in life. It deserves, we suggest, to occupy a more central role in cognitive science. In the current paper, we take the case of jazz improvisation as a rich model domain from which to explore the nature of improvisation and expertise more generally. We explore the activity of the jazz improviser against the theoretical backdrop of Dreyfus’s account of expertise as well as of enactivist and 4E accounts of cognition and action. We argue that enactivist and 4E (...) accounts provide a rich source of insights on improvisation that go beyond Dreyfus’s notion of skilled coping, for example, through the central enactivist notion of “sense-making”. At the same time, however, we see improvisation also as suggesting an extension of enactivist theory. We see expert improvisers, in music and in life, as walking on a path of open-ended expansion of their mindful experiential relation with their doing. At the heart of an improviser’s expertise, we propose, lies a form of “higher-level inner sense-making” that spontaneously creates novel forms of agentive goal-directedness in the moment. Our account thus supplants Dreyfus’s idea of the ego-less absorbed expert by that of a mindful improviser enacting spontaneous expressions of herself, in music or in life. (shrink)

Procedural metacognition is the set of affect-based mechanisms allowing agents to regulate cognitive actions like perceptual discrimination, memory retrieval or problem solving. This article proposes that procedural metacognition has had a major role in the evolution of communication. A plausible hypothesis is that, under pressure for maximizing signalling efficiency, the metacognitive abilities used by nonhumans to regulate their perception and their memory have been re-used to regulate their communication. On this view, detecting one’s production errors in signalling, or solving species-specific (...) trade-offs between informativeness, processing effort, clarity, or urgency depend on a form of procedural metacognition, called “metacommunication”. How does this view relate to Gricean theories of human communication? A parallel between procedural trade-offs and conversational maxims is discussed for its evolutionary implications. Rather than accepting radically discontinuist interpretations, in which mindreading operates a full reorganization of pragmatics, it is proposed that procedural forms of regulation are entrenched in all forms of human communication. According to contextual demands, humans adopt and monitor more or less demanding informational goals, such as factual updating, clarifying, explaining, proving, and reaching consensus in collective matters. Under time pressure, only part of these goals require adopting others’ viewpoint. Efficiency in collective decision-making, in particular, might have been considerably raised by an ability to interpret others’ intentions and motivations. (shrink)

Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.

This article introduces the Special Issue and its focus on research in language evolution with emphasis on theory as well as computational and robotic modeling. A key theme is based on the growth of evolutionary developmental biology or evo-devo. The Special Issue consists of 13 articles organized in two sections: A) Theoretical foundations and B) Modeling and simulation studies. All the papers are interdisciplinary in nature, encompassing work in biological and linguistic foundations for the study of language evolution as well (...) as a variety of computational and robotic modeling efforts shedding light on how language may be developed and may have evolved. (shrink)

Emotion Review, Volume 14, Issue 1, Page 15-30, January 2022. We offer an account of mental health and well-being using the predictive processing framework. According to this framework, the difference between mental health and psychopathology can be located in the goodness of the predictive model as a regulator of action. What is crucial for avoiding the rigid patterns of thinking, feeling and acting associated with psychopathology is the regulation of action based on the valence of affective states. In PPF, valence (...) is modelled as error dynamics—the change in prediction errors over time. Our aim in this paper is to show how error dynamics can account for both momentary happiness and longer term well-being. What will emerge is a new neurocomputational framework for making sense of human flourishing. (shrink)