2004 ◽  
Vol 5 (1) ◽  
pp. 75-97 ◽  
Author(s):  
Irene M. Pepperberg ◽  
Steven R. Wilkes

Grey parrots (Psittacus erithacus) do not acquire referential English labels when tutored with videotapes displayed on CRT screens if (a) socially isolated, (b) reward for attempted labels is possible, (c) trainers direct birds’ attention to the monitor, (d) live video feed avoids habituation or (d) one trainer repeats labels produced on video and rewards label attempts. Because birds learned referential labels from live tutor pairs in concurrent sessions, we concluded that video failed because input lacked live social interaction and modeling (Pepperberg, 1999). Recent studies (e.g. Ikebuchi & Okanoya, 1999), however, suggest that standard CRT monitor flickering could instead have prevented learning. Using an LCD monitor, we found that eliminating flickering did not enable birds to learn from video under conditions of limited social interaction. Results emphasize the role of social interaction in referential label learning and may generalize to other systems (e.g. disabled children, or possibly software and robotic agents).


2020 ◽  
Vol 1 (2) ◽  
pp. 103
Author(s):  
Markus Nanang Irawan ◽  
Sri Widyawati

<pre><span>Individuals autism often have non-adaptive behavioral problems because of their barriers in communication and social interaction. The problem of non-adaptive behavior is often a nuisance to others because its appearance is not appropriate and not in accordance with the environment, age, and expectations of responsibility. One case of non-adaptive behavior that arises is the behavior while in a vehicle where the individual shows the behavior of singing loudly, knocking windows, pinching the driver, even holding the steering wheel. Based on these problems, this study aims to reduce non-adaptive behavior while in a vehicle. Participant is an adult autism. The research method is experiment by giving Social Stories to participants before riding the vehicle then recording to the possibility appearance of non adaptive behavior. The results of graph analysis showed a decrease in non adaptive behavior of adult autism adults while in a vehicle. This study became one of the important studies because it tries to understand the dynamics of behavior problems of individual autisme in adulthood.<strong></strong></span></pre><pre><span> </span></pre>


2021 ◽  
pp. 073563312110273
Author(s):  
Zhi Liu ◽  
Ning Zhang ◽  
Xian Peng ◽  
Sannyuya Liu ◽  
Zongkai Yang ◽  
...  

In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of investigations on the combination of social and cognitive behavioral patterns. To fill in this gap, this study aimed to uncover the relationship between social interaction, cognitive processing, and learning achievements in a MOOC discussion forum. Specifically, we collected the 3925 participants’ forum data throughout 16 weeks. Social network analysis and epistemic network analysis were jointly adopted to investigate differences in social interaction, cognitive processing between two achievement groups, and the differences in cognitive processing networks between two types of communities. Finally, moderation analysis was employed to examine the moderating effect of community types between cognitive processing and learning achievements. Results indicated that: (1) the high- and low-achieving groups presented significant differences in terms of degree, betweenness, and eigenvector centrality; (2) the stronger cognitive connections were found within the high-achieving group and the instructor-led community; (3) the cognitive processing indicators including insight, discrepancy, and tentative were significantly negative predictors of learning achievements, whereas inhibition and exclusive were significantly positive predictors; (4) the community type moderated the relationship between cognitive processing and learning achievements.


2002 ◽  
Vol 11 (3) ◽  
pp. 83-87 ◽  
Author(s):  
Irene M. Pepperberg

Grey parrots ( Psittacus erithacus) solve various cognitive tasks and acquire and use English speech in ways that often resemble those of very young children. Given that the psittacine brain is organized very differently from that of mammals, these results have intriguing implications for the study and evolution of vocal learning, communication, and cognition.


2011 ◽  
Vol 26 (S2) ◽  
pp. 2111-2111
Author(s):  
T. Kicher

The term social cognition comprises of the perception and cognitive processing of stimuli of the social environment that is necessary to understand one's own behaviour and that of others. Social cognition is important for conscious and unconscious behaviour in social interactions and is composed of the recognition and interpretation of emotions in faces, body language and speech, reflection of one's own mental state and intentions as well as the realization of others’ intentions, thoughts and feelings. The mirror neuron system is involved in empathetic processes. Several aspects of the neural correlates of social interaction, embodiment and the mirror neuron system in schizophrenia and autism will be reported.


2021 ◽  
Vol 12 ◽  
Author(s):  
Irene M. Pepperberg

Deciphering nonhuman communication – particularly nonhuman vocal communication – has been a longstanding human quest. We are, for example, fascinated by the songs of birds and whales, the grunts of apes, the barks of dogs, and the croaks of frogs; we wonder about their potential meaning and their relationship to human language. Do these utterances express little more than emotional states, or do they convey actual bits and bytes of concrete information? Humans’ numerous attempts to decipher nonhuman systems have, however, progressed slowly. We still wonder why only a small number of species are capable of vocal learning, a trait that, because it allows for innovation and adaptation, would seem to be a prerequisite for most language-like abilities. Humans have also attempted to teach nonhumans elements of our system, using both vocal and nonvocal systems. The rationale for such training is that the extent of success in instilling symbolic reference provides some evidence for, at the very least, the cognitive underpinnings of parallels between human and nonhuman communication systems. However, separating acquisition of reference from simple object-label association is not a simple matter, as reference begins with such associations, and the point at which true reference emerges is not always obvious. I begin by discussing these points and questions, predominantly from the viewpoint of someone studying avian abilities. I end by examining the question posed by Premack: do nonhumans that have achieved some level of symbolic reference then process information differently from those that have not? I suggest the answer is likely “yes,” giving examples from my research on Grey parrots (Psittacus erithacus).


Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 350 ◽  
Author(s):  
Giovanni Pezzulo ◽  
Stefano Nolfi

How do living organisms decide and act with limited and uncertain information? Here, we discuss two computational approaches to solving these challenging problems: a “cognitive” and a “sensorimotor” enrichment of stimuli, respectively. In both approaches, the key notion is that agents can strategically modulate their behavior in informative ways, e.g., to disambiguate amongst alternative hypotheses or to favor the perception of stimuli providing the information necessary to later act appropriately. We discuss how, despite their differences, both approaches appeal to the notion that actions must obey both epistemic (i.e., information-gathering or uncertainty-reducing) and pragmatic (i.e., goal- or reward-maximizing) imperatives and balance them. Our computationally-guided analysis reveals that epistemic behavior is fundamental to understanding several facets of cognitive processing, including perception, decision making, and social interaction.


2011 ◽  
Vol 12 (2) ◽  
pp. 195-207 ◽  
Author(s):  
Irene M. Pepperberg

The study of animal behavior, and particularly avian behavior, has advanced significantly in the past 50 years. In the early 1960s, both ethologists and psychologists were likely to see birds as simple automatons, incapable of complex cognitive processing. Indeed, the term “avian cognition” was considered an oxymoron. Avian social interaction was also seen as based on rigid, if sometimes complicated, patterns. The possible effect of social interaction on cognition, or vice versa, was therefore something almost never discussed. Two paradigm shifts—one concerning animal cognition and one concerning social interaction—began to change perceptions in, respectively, the early 1970s and 1980s, but only more recently have researchers actively investigated how these two areas intersect in the study of avian behavior. The fruits of such intersection can be seen in the various papers for this special issue. I provide some brief background material before addressing the striking findings of current projects. In some cases, researchers have adapted early classic methods and in other cases have devised new paradigms, but in all instances have demonstrated avian capacities that were once thought to be the exclusive domain of humans or at least nonhuman primates. Keywords: avian cognition; avian social learning; avian observational learning; avian communication


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