Psychological research into children’s sensitivity to testimony has primarily focused on their ability to judge the likely reliability of speakers. However, verbal testimony is only one means by which children learn from others. We review recent research exploring children’s early social referencing and imitation, as well as their sensitivity to speakers’ knowledge, beliefs, and biases, to argue that children treat information and informants with reasonable scepticism. As children’s understanding of mental states develops, they become ever more able to critically evaluate (...) whether to believe new information. (shrink)

Most biologists and some cognitive scientists have independently reached the conclusion that there is no such thing as learning in the traditional “instructive‘ sense. This is, admittedly, a somewhat extreme thesis, but I defend it herein the light of data and theories jointly extracted from biology, especially from evolutionary theory and immunology, and from modern generative grammar. I also point out that the general demise of learning is uncontroversial in the biological sciences, while a similar consensus has not (...) yet been reached in psychology and in linguistics at large. Since many arguments presently offered in defense of learning and in defense of “general intelligence‘ are often based on a distorted picture of human biological evolution, I devote some sections of this paper to a critique of “adaptationism,‘ providing also a sketch of a better evolutionary theory. Moreover, since certain standard arguments presented today as “knock-down‘ in psychology, in linguistics and in artificial intelligence are a perfect replica of those once voiced by biologists in favor of instruction and against selection, I capitalize on these errors of the past to draw some lessons for the present and for the future. (shrink)

Are learning processes selection processes? This paper takes a slightly modified version of the account of selection presented in Hull et al. (Behav Brain Sci 24:511–527, 2001) and asks whether it applies to learning processes. The answer is that although some learning processes are selectional, many are not. This has consequences for teleological theories of mental content. According to these theories, mental states have content in virtue of having proper functions, and they have proper functions in virtue (...) of being the products of selection processes. For some mental states, it is plausible that the relevant selection process is natural selection, but there are many for which it is not plausible. One response to this (due to David Papineau) is to suggest that the learning processes by which we acquire non-innate mental states are selection processes and can therefore confer proper functions on mental states. This paper considers two ways in which this response could be elaborated, and argues that neither of them succeed: the teleosemanticist cannot rely on the claim that learning processes are selection processes in order to justify the attribution of proper functions to beliefs. (shrink)

Online learning resources play an important role in teaching and learning in the process of online learning. Teachers will be satisfied with selectable and suitable online learning resources, which can promote their self-efficacy to facilitate online teaching and learning. This study proposed a model to examine the effects of the selectivity of online learning resources and the suitability of online learning resources on teachers’ online teaching satisfaction, and the mediating role of technology self-efficacy (...) and online teaching self-efficacy between them. The results indicated that SE-OLR and SU-OLR positively affected teachers’ online teaching satisfaction; TECHN-SE and OT-SE positively influenced teachers’ online teaching satisfaction, while TECHN-SE and OT-SE played mediating roles between SE-OLR and SU-OLR and teachers’ online teaching satisfaction. The findings have implications for the design and development of online learning resources to improve teachers’ satisfaction and facilitate students’ learning effectiveness and teachers’ online teaching. (shrink)

I discuss the ubiquity of power law distributions in language organisation (and elsewhere), and argue against Miller’s (The mating mind: How sexual choice shaped the evolution of human nature, William Heinemann, London, 2000) argument that large vocabulary size is a consequence of sexual selection. Instead I argue that power law distributions are evidence that languages are best modelled as dynamical systems but raise some issues for models of iterated language learning.

Students and teachers of Chinese history and philosophy will not want to miss Daniel Gardner's accessible translation of the teachings of Chu Hsi —a luminary of the Confucian tradition who dominated Chinese intellectual life for centuries. Homing in on a primary concern of our own time, Gardner focuses on Chu Hsi's passionate interest in education and its importance to individual development. For hundreds of years, every literate person in China was familiar with Chu Hsi's teachings. They informed the curricula of (...) private academies and public schools and became the basis of the state's prestigious civil service examinations. Nor was Chu's influence limited to China. In Korea and Japan as well, his teachings defined the terms of scholarly debate and served as the foundation for state ideology. Chu Hsi was convinced that through education anyone could learn to be fully moral and thus travel the road to sagehood. Throughout his life, he struggled with the philosophical questions underlying education: What should people learn? How should they go about learning? What enables them to learn? What are the aims and the effects of learning? Part One of _Learning to Be a Sage_ examines Chu Hsi's views on learning and how he arrived at them. Part Two presents a translation of the chapters devoted to learning in the _Conversations of Master Chu_. (shrink)

In this paper I defend a teleological explanation of normativity, i. e., I argue that what an organism is supposed to do is determined by its etiological function. In particular, I present a teleological account of the normativity that arises in learning processes, and I defend it from some objections.

Theories of cognitive development must address both the issue of how children bring their knowledge to bear on behavior in-the-moment, and how knowledge changes over time. We argue that seeking answers to these questions requires an appreciation of the dynamic nature of the developing system in its full, reciprocal complexity. We illustrate this dynamic complexity with results from two lines of research on early word learning. The first demonstrates how the child's active engagement with objects and people supports referent (...) selection via memories for what objects were previously seen in a cued location. The second set of results highlights changes in the role of novelty and attentional processes in referent selection and retention as children's knowledge of words and objects grows. Together this work suggests that understanding systems for perception, action, attention, and memory, and their complex interaction, is critical to understand word learning. We review recent literature that highlights the complex interactions between these processes in cognitive development and point to critical issues for future work. (shrink)

The generic account of selection proposed by Hull et al. readily fits operant learning where, by comparison with natural selection, the process is well understood but little is known about the mechanism. Objections within psychology, that operant learning ignores internal processes, fail to recognise the general significance of behaviour-environment interactions. Variation within operant response classes requires further investigation.

Students and teachers of Chinese history and philosophy will not want to miss Daniel Gardner's accessible translation of the teachings of Chu Hsi —a luminary of the Confucian tradition who dominated Chinese intellectual life for centuries. Homing in on a primary concern of our own time, Gardner focuses on Chu Hsi's passionate interest in education and its importance to individual development. For hundreds of years, every literate person in China was familiar with Chu Hsi's teachings. They informed the curricula of (...) private academies and public schools and became the basis of the state's prestigious civil service examinations. Nor was Chu's influence limited to China. In Korea and Japan as well, his teachings defined the terms of scholarly debate and served as the foundation for state ideology. Chu Hsi was convinced that through education anyone could learn to be fully moral and thus travel the road to sagehood. Throughout his life, he struggled with the philosophical questions underlying education: What should people learn? How should they go about learning? What enables them to learn? What are the aims and the effects of learning? Part One of _Learning to Be a Sage_ examines Chu Hsi's views on learning and how he arrived at them. Part Two presents a translation of the chapters devoted to learning in the _Conversations of Master Chu_. (shrink)

The application of machine learning touches all activities of human behavior such as computer network and routing packets in LAN. In the field of our research here, emphasis was placed on extracting weights that would affect the speed of the network's response and finding the best path, such as the number of nodes in the path and the congestion on each path, in addition to the cache used for each node. Therefore, the use of these elements in building the (...) neural network is worthy, as is the exploitation of the feed forwarding and the backpropagation in the neural network in order to reach the best prediction for the best path. The goal of the proposed neural network is to minimize the network time delay within the optimization of the packet paths being addressed in this study. The shortest path is considered as the key issue in routing algorithm that can be carried out with real time of path computations. Exploiting the gaps in previous studies, which are represented in the lack of training of the system and the inaccurate prediction as a result of not taking into consideration the hidden layers' feedback, leads to great performance. This study aims to suggest an efficient algorithm that could help in selecting the shortest path to improve the existing methods using weights derived from packet ID and to change neural network iteration simultaneously. In this study, the design of the efficient neural network of appropriate output is discussed in detail including the principles of the network. The findings of the study revealed that exploiting the power of computational system to demonstrate computer simulation is really effective. It is also shown that the system achieved good results when training the neural network system to get 2.4% time delay with 5 nodes in local LAN. Besides, the results showed that the major features of the proposed model will be able to run in real time and are also adaptive to change with path topology. (shrink)

Open peer commentary on the article “Learning about Urban Sustainability with Digital Stories: Promoting Collaborative Creativity from a Constructionist Perspective” by Maria Daskolia, Chronis Kynigos & Katerina Makri. Upshot: Daskolia, Kynigos and Makri’s article offers us a view into potential applications of constructionist learning theory to help students conceive of and collaborate on solutions to today’s complex problems. This work in many ways parallels the efforts of those investigating systems thinking and highlights the importance of digital production in (...) that process. While many efforts rely on simulations and models, the authors place centrally the role of digital production in understanding complexity. This, in turn, calls our attention to the affordances and limitations of our current tools for facilitating learning and collaboration, and ultimately to the need for new tools. (shrink)

Davey presents expectancy bias as an alternative explanation for preparedness effects in conditioning; this commentary mentions some of the problems in interpreting UCS expectancy designs vis-à-vis conditioning. A further complication is that other CS characteristics also influence conditioning: A recent experiment provided support for Rescorla and Wagner's (1972) hypothesis that the amount of conditioning is smaller when the CS and UCS elicit similarly valenced initial affective responses (as with a fear-relevant CS and shock UCS). Finally, different physiological systems measure different (...) aspects of the conditioning process, a further consideration in interpreting the results of selective association studies. (shrink)

It is quite common in our texts and periodicals to run across formulations of the learning process in which the word acquire is used in some way as part of the description. Individuals are said to “acquire” habits or skills or languages or attitudes or solutions or emotions. The organism is said to “acquire” certain of its traits from the environment and even to “acquire” from heredity. Such usage is not technically incorrect. Webster defines acquire as follows: acquire. 1. (...) To gain by any means, usually by one's own exertions; to get as one's own. 2. To take on as part of one's nature or qualifications; to establish by means of repetition or effort, as characteristic in one's behavior or range of ability; as to acquire a habit. Syn., attain, procure, win, earn, secure; receive, learn, adopt, cultivate, affect. See obtain. (shrink)

Introduction -- Knowing at the level of sympathy -- The drama of schooling/the schooling of drama -- The challenging world of educational leadership -- Cultivating a perspective on learning -- Building an ethical school -- Working within the geography of human development -- Foundational qualities of an ethical person -- The moral dimension of human resource development -- The ethics of teaching -- Cultivating a mature community -- The complexity of ethical living and learning.

Social learning mechanisms are usually assumed to explain both the spread and the persistence of cultural behaviour. In a recent article, we showed that the fidelity of social learning commonly found in transmission chain experiments is not high enough to explain cultural stability. Here we want to both enrich and qualify this conclusion by looking at the case of song transmission in song birds, which can be faithful to the point of being true replication. We argue that this (...) high fidelity results from natural selection pressure on cognitive mechanisms. This observation strengthens our main argument. Social learning mechanisms are unlikely to be faithful enough to explain cultural stability because they are generally selected not for high fidelity but for generalisation and adjustment to the individual’s needs, capacities and situation. (shrink)

Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's disease as (...) well as genetic differences in dopamine receptors. This paper shows that a standard model of action selection in a cognitive architecture cannot replicate any of these findings, details an alternative solution that reconciles action selection in the architecture with the physiology of the basal ganglia, and extends the domain of application of cognitive architectures. The implication of this solution for other architectures and existing models are discussed. (shrink)

Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables is discussed. The problem of inferring the presence of latent variables, their relation to the observables, and the relation among themselves, is considered. A different approach for identifying causal structures, one that results in much simpler equivalence classes, is provided. It is found that the computational cost is much higher than the procedure implemented, but if datasets are individually of modest dimensionality, it (...) might be doable in practice. From the point of view of search algorithms for optimizing structure, much of the machinery of combinatorial optimization could optimize the penalized composite likelihood score by enforcing constraints such that the independence models over different subsets of variables agree on the overlapping sets. (shrink)