Despite growing consumerism and skepticism about authority in the culture as a whole, most patients continue to be pliant. If there is a serious threat to physician autonomy, it is more likely to come from third‐party payers and new forms of medical practice, particularly the rise of for‐profit hospital chains, than from patients. Though physicians are restless, they will learn to adapt to the new conditions of practice.

Social influence and social learning are important to the survival of many organisms, and certain forms of social learning also may have important implications for their underlying cognitive processes. The various forms of social influence and learning are discussed with special emphasis on the mechanisms that may be responsible for opaque imitation (the copying of a response that the observer cannot easily see when it produces the response). Three procedures are examined, the results of which may (...) qualify as opaque imitation: the bidirectional control procedure, the two- action procedure, and the do-as-I-do procedure. Variables that appear to affect the emergence of opaque imitation are identified and other complex forms of response copying are discussed. Keywords: bidirectional control procedure; contagion; emulation; imitation; local enhancement; object movement reenactment; observational conditioning; opaque imitation; social enhancement; social facilitation; social influence; social learning; stimulus enhancement; two action procedure. (shrink)

Social influence and social learning are important to the survival of many organisms, and certain forms of social learning also may have important implications for their underlying cognitive processes. The various forms of social influence and learning are discussed with special emphasis on the mechanisms that may be responsible for opaque imitation. Three procedures are examined, the results of which may qualify as opaque imitation: the bidirectional control procedure, the two- action procedure, and the do-as-I-do procedure. (...) Variables that appear to affect the emergence of opaque imitation are identified and other complex forms of response copying are discussed. Keywords: bidirectional control procedure; contagion; emulation; imitation; local enhancement; object movement reenactment; observational conditioning; opaque imitation; social enhancement; social facilitation; social influence; social learning; stimulus enhancement; two action procedure. (shrink)

In this paper we review the literature on social learning mechanisms in the domestic chick, focusing largely on work from our own laboratories. The domestic chicken is a social-living bird that searches for food in flocks, avoids predators by following warnings from other flock members, and forms (stable) social hierarchies. All of these behaviors develop throughout ontogeny, largely during the very early stages post-hatch. Newly hatched chicks appear to have predispositions to orient towards and to pay greatest attention (...) to the biologically relevant characteristics of their immediate environment (i.e. to conspecifics: the mother bird and/or fellow hatchlings) from which they may subsequently learn. In addition, the chick has a lateralized brain; left and right hemispheres being specialized for certain behavioral functions and responses, and it appears that such behavioral lateralization is also transposed onto certain social learning situations, which will also be considered. Keywords: social learning; social cognition; chick; brain asymmetry. (shrink)

In this paper we review the literature on social learning mechanisms in the domestic chick, focusing largely on work from our own laboratories. The domestic chicken is a social-living bird that searches for food in flocks, avoids predators by following warnings from other flock members, and forms social hierarchies. All of these behaviors develop throughout ontogeny, largely during the very early stages post-hatch. Newly hatched chicks appear to have predispositions to orient towards and to pay greatest attention to (...) the biologically relevant characteristics of their immediate environment from which they may subsequently learn. In addition, the chick has a lateralized brain; left and right hemispheres being specialized for certain behavioral functions and responses, and it appears that such behavioral lateralization is also transposed onto certain social learning situations, which will also be considered. Keywords: social learning; social cognition; chick; brain asymmetry. (shrink)

Research on social learning has identified mechanisms that learners use to decide from whom to learn. Several of these mechanisms indicate that learners prefer to learn from more competent people over less competent people. This requires learners to measure the competence of other people. We use this article to analyze the incentives that this measure of competence creates. Learners measure the competence of models, people they would consider learning from, and share these judgments with other learners. (...) This gives each model a reputation for competence within a community. Each model has a biological incentive to increase the magnitude of that reputation; at the very least, increasing the magnitude should make the model more attractive to potential mates. In this article, we present logic that indicates that one way for the model to increase the magnitude of that reputation is for the model to help people who think the model is competent. This reveals a novel evolutionary incentive for humans to help other humans. (shrink)

Research into robotic social learning, especially that concerned with imitation, often focuses at differing ends of a spectrum from observational learning at one end to following or matched-dependent behaviour at the other. We study the implications and differences that arise when carrying out experiments both at the extremes and within this spectrum. Physical Khepera robots with minimal sensory capabilities are used, and after training, experiments are carried out where an imitating robot perceives the dynamic movement behaviours of another (...) model robot carrying a light source. It learns the movement behaviour of the model by either statically observing the model, dynamically observing the model or by following the model. It finally re-enacts the learnt behaviour. We compare the results of these re-enactments and illustrate the differences and trade-offs that arise between static observational and reactive following learning methods. We also consider circumstances where, for this robotic embodiment, dynamic observation has both advantages and disadvantages when compared to static observation. We conclude by discussing the implications that arise from using and combining these types of social learning. (shrink)

This work uses microgenetic study of classroom learning to illuminate (1) the role of pre-instructional student knowledge in the construction of normative scientific knowledge, and (2) the learning mechanisms that drive change. Three enactments of an instructional sequence designed to lead to a scientific understanding of thermal equilibration are used as data sources. Only data from a scaffolded student inquiry preceding introduction of a normative model were used. Hence, the study involves nearly autonomous student learning. In (...) two classes, students developed stable and socially shared explanations (“causal schemes”) for understanding thermal equilibration. One case resulted in a near-normative understanding, while the other resulted in a non-normative “alternative conception.” The near-normative case seems to be a particularly clear example wherein the constructed causal scheme is a composition of previously documented naïve conceptions. Detailed prior description of these naive elements allows a much better than usual view of the corresponding details of change during construction of the new scheme. A list of candidate mechanisms that can account for observed change is presented. The non-normative construction seems also to be a composition, albeit of a different structural form, using a different (although similar) set of naïve elements. This article provides one of very few high-resolution process analyses showing the productive use of naïve knowledge in learning. (shrink)

Modularity theorists have challenged that there are, or could be, general learning mechanisms that explain theory-of-mind development. In response, supporters of the ‘scientific theory-theory’ account of theory-of-mind development have appealed to children's use of auxiliary hypotheses and probabilistic causal modeling. This article argues that these general learning mechanisms are not sufficient to meet the modularist's challenge. The article then explores an alternative domain-general learning mechanism by proposing that children grasp the concept belief through the progressive (...) alignment of relational structure that occurs as a result of structural-comparison. The article also explores the implications of the proposed account for Fodor's puzzle of conceptual learning. (shrink)

One of the themes that has been widely addressed in both the implicit learning and statistical learning literatures is that of rule learning. While it is widely agreed that the extraction of regularities from the environment is a fundamental facet of cognition, there is still debate about the nature of rule learning. Rey and colleagues show that the comparison between human and non‐human primates can contribute important insights to this debate.

Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less (...) successfully and more slowly if they are presented interleaved with occurrences of other words, although this effect is relatively weak. We present additional analyses of participants’ trial-by-trial behavior showing that participants make use of various cross-situational learning strategies, depending on the difficulty of the word-learning task. When referential uncertainty is low, participants generally apply a rigorous eliminative approach to cross-situational learning. When referential uncertainty is high, or exposures to different words are interleaved, participants apply a frequentist approximation to this eliminative approach. We further suggest that these two ways of exploiting cross-situational information reside on a continuum of learning strategies, underpinned by a single simple associative learning mechanism. (shrink)

Distinguishing explicit from implicit knowledge on the basis of the active representation of certain propositional attitudes fails to provide an explanation for dissociations in learning performance under implicit and explicit conditions. This suggests an account of implicit and explicit knowledge grounded in the presence of multiple learning mechanisms, and multiple brain systems more generally. A rough outline of a connectionist account of this kind is provided.

We distinguish the question whether only human minds are equipped with a language of thought (LoT) from the question whether human minds employ a single uniquely human learning mechanism. Thus separated, our answer to both questions is negative. Even very simple minds employ a LoT. And the comparative data reviewed by Penn et al. actually suggest that there are many distinctively human learning mechanisms.

We need not propose, as Carey does, a radical discontinuity between core cognition, which is responsible for abstract structure, and language and which are responsible for learning and conceptual change. From a probabilistic models view, conceptual structure and learning reflect the same principles, and they are both in place from the beginning.

What do people learn when they do not know that they are learning? Until recently, all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspective. He introduces a theoretical framework that unifies existing data and models on implicit learning, along with a detailed computational model of human performance in sequence-learning situations.

In 2006, Perruchet and Pacton (2006) asked whether implicit learning and statistical learning represent two approaches to the same phenomenon. This article represents an important follow‐up to their seminal review article. As in the previous paper, the focus is on the formation of elementary cognitive units. Both approaches favor different explanations on what these units consist of and how they are formed. Perruchet weighs up the evidence for different explanations and concludes with a helpful agenda for future research.

Human motor learning is governed by a suite of interacting mechanisms each one of which modifies behavior in distinct ways and rely on different neural circuits. In recent years, much attention has been given to one type of motor learning, called motor adaptation. Here, the field has generally focused on the interactions of three mechanisms: sensory prediction error SPE-driven, explicit, and reinforcement learning. Studies of these mechanisms have largely treated them as modular, aiming to (...) model how the outputs of each are combined in the production of overt behavior. However, when examined closely the results of some studies also suggest the existence of additional interactions between the sub-components of each learning mechanism. In this perspective, we propose that these sub-component interactions represent a critical means through which different motor learning mechanisms are combined to produce movement; understanding such interactions is critical to advancing our knowledge of how humans learn new behaviors. We review current literature studying interactions between SPE-driven, explicit, and reinforcement mechanisms of motor learning. We then present evidence of sub-component interactions between SPE-driven and reinforcement learning as well as between SPE-driven and explicit learning from studies of people with cerebellar degeneration. Finally, we discuss the implications of interactions between learning mechanism sub-components for future research in human motor learning. (shrink)

The neural mechanisms underlying behavioral improvement in the detection or discrimination of visual stimuli following learning are still ill understood. Studies in nonhuman primates have shown relatively small and, across studies, variable effects of fine discrimination learning in primary visual cortex when tested outside the context of the learned task. At later stages, such as extrastriate area V4, extensive practice in fine discrimination produces more consistent effects upon responses and neural tuning. In V1 and V4, the effects (...) of learning were most prominent in those neurons that can contribute the most reliable information about the trained stimuli. I suggest that, depending on the particulars of the task demands, neurons at various stages of stimulus and task processing can change their tuning and responses, so that execution of the task will produce a higher frequency of reward. I speculate that the sort of changes that will occur depend on the task and on stimulus analysis require- ments, and they may vary from changes in bottom-up stimulus processing ⁄ tuning within early visual areas or more efficient readout of early visual areas to top-down driven changes in response proper- ties of these areas. (shrink)

Pioneering work in the 1940s and 1950s suggested that the concept of chunking might be important in many processes of perception, learning and cognition in humans and animals. We summarize here the major sources of evidence for chunking mechanisms, and consider how such mechanisms have been implemented in computational models of the learning process. We distinguish two forms of chunking: the first deliberate, under strategic control, and goal-oriented; the second automatic, continuous, and linked to perceptual processes. (...) Recent work with discrimination-network computational models of long- and short-term memory (EPAM/CHREST) has produced a diverse range of applications of perceptual chunking. We focus on recent successes in verbal learning, expert memory, language acquisition and learning multiple representations, to illustrate the implementation and use of chunking mechanisms within contemporary models of human learning. (shrink)

The specific mechanisms whereby Pavlovian conditioning leads to adaptive behavior need to be elaborated. There is no evidence that it is via reduction in the “destabilizing effect that time lags have on feedback control” (Domjan et al. 2000, sect. 3.3). The adaptive value of Pavlovian conditioning goes well beyond the regulation of social behavior.

U poslednjih nekoliko dekada vise studija posvecenih percepciji novorodjencadi je ukazalo na to da cak i tek rodjena deca jesu osetljiva na nacin na koji se objekti pokrecu i na prirodu njihove interakcije. Da bi objasnili ranu pojavu ovakve osetljivosti na kauzalne odnose neki psiholozi zastupaju stanoviste da postoji urodjeno znanje vezano za objekte. Cilj ovog rada je da preispita ovakva nativisticka objasnjenja tako sto ce da preispita da li ova objasnjenja ispunjavaju uslove koji svaki mehanicisticki model mora da ispuni (...) da bi bio uspesan. Craver je razvio nekoliko takvih kriterijuma kao i distinkciju izmedju odgovarajuceg mehanicistickog modela i mehanicisticke skice. Moj cilj je da pokazem da nativisticki modeli razvoja ne ispunjavaju ove kriterijume. Prvo, ti modeli samo delimicno a ne u potpunosti opisuju fenomen. Drugo, nativisti ukljucuju u opis fenomena odredjenu teoriju percepcije koja zahteva dodatnu empirijsku evidenciju i ne moze biti bezrezervno prihvacena kao tacna. Ja cu takodje argumentovati da je urodjeno znanje dobar kandidat za ono sto Craver naziva?praznim terminom? i da ce najverovatnije biti napusten. Novija istrazivanja koja su ispitivala intersenzornu percepciju ukazuju na to da je mehanizam odgovoran za rano opazanje kauzalnih odnosa najverovatnije deo nase najosnovnije fiziologije i da kao takav ne ukljucuje sofisticirane kognitivne strukture niti urodjeno znanje. Takodje, ova istrazivanja ukazuju na to da je standardna debata izmedju nativista i empirista pogresno postavljena i da bi je trebalo napustiti. (shrink)

Humans and some animal species are able to learn stimulus-response associations by observing others' behavior. It saves energy and time and avoids the danger of trying the wrong actions. Observational learning depends on the capability of mapping the actions of others into our own behaviors, processing outcomes, and combining this knowledge to serve our goals. Observational learning plays a central role in the learning of social skills, cultural knowledge, and tool use. Thus, it is one of the (...) fundamental processes in which infants learn about and from adults. In this paper, we review current methodological approaches employed in observational learning research. We highlight the important role of the prefrontal cortex and cognitive flexibility to support this learning process, develop a new neural working model of observational learning, illustrate how imitation relates to observational learning, and provide directions for future research. (shrink)

In their paper: “Learning of Predictive Relations Between Events Depends on Attention, Not on Awareness” Custers & Aarts demonstrate that when one is first exposed to a clear predictive relationship – a consequent predictive relationship will be represented as a unidirectional association in the percievers’ minds regardless of their awareness of that relationship. Furthermore, a conscious intention to learn the relationship leads to the formation of a bidirectional association. While these findings may prove to be a significant step in (...) understanding other forms of implicit learning such as implicit artificial grammar learning and implicit sequence learning and why they are affected by intentional learning; Custers & Aarts’ postulation that “top-down” regulation is at work here is debatable as their experimental manipulation can be understood as “bottom-up” activation of implicit learning processes. (shrink)

Some empirical evidence in the artificial language acquisition literature has been taken to suggest that statistical learning mechanisms are insufficient for extracting structural information from an artificial language. According to the more than one mechanism (MOM) hypothesis, at least two mechanisms are required in order to acquire language from speech: (a) a statistical mechanism for speech segmentation; and (b) an additional rule-following mechanism in order to induce grammatical regularities. In this article, we present a set of neural (...) network studies demonstrating that a single statistical mechanism can mimic the apparent discovery of structural regularities, beyond the segmentation of speech. We argue that our results undermine one argument for the MOM hypothesis. (shrink)

Recent work indicates that there are distinct response habituation mechanisms that can be recruited by different stimulation rates and that can underlie different components (e.g., the duration or speed) of a single behavioral response. These findings raise the question: why is “the simplest form of learning” so complicated mechanistically? Beyond evolutionary selection for robustness of plasticity in learning to ignore, it is proposed in this article that multiple mechanisms of habituation have evolved to streamline shifts in (...) ongoing behavioral strategy. Then, speculations are offered regarding the implications of this reconceptualization of habituation for approaching the analysis of mechanisms of more complex forms of learning and memory. (shrink)