In this article we explore the possibility of viewing complex systems, as well as the models we create of such systems, as operating within a particular type of economy. The type of economy we aim to establish here is inspired by Jacques Derrida’s reading of George Bataille’s notion of a general economy. We restrict our discussion to the philosophical use of the word ‘economy’. This reading tries to overcome the idea of an economy as restricted to a single logos or (...) master narrative. At the same time, however, Derrida illustrates that we always operate from a restricted framework and as such something will always escape and interrupt our understanding of the world. In this paper we will propose that one could use Derrida’s reading of Bataille, along with notions such as différance, in order to move towards an understanding of complex systems as existing within certain sets of possibilities and constraints. We argue that this view of an economy agrees with the work of Edgar Morin on complexity and his conceptualization of general complexity. (shrink)

This article illustrates the practical usefulness of transdisciplinary work for practical theology by showing how input from an occupational therapist informed my understanding and interpretation of the story of Hannetjie, who had been sexually abused as a child. This forms part of a narrative practical theological research project into the spirituality of female adult survivors of childhood sexual abuse. Transdisciplinary work is useful to practical theologians, as it opens possibilities for learning about matters pastors have to face, but may (...) not have knowledge about. A short retelling of Hannetjie’s story is given to provide information about the context of the research. Next, the transdisciplinary process that was followed is mentioned, and the questions that the transdisciplinary team had to respond to are discussed. Following that, I focus more specifically on the occupational therapist’s answers, and the knowledge gained from her contribution, as an example of how a co-researcher from a divergent discipline can inform a theological study. In this case, knowledge was shared about sensory integration and how the brain processes traumatic stimuli, such as sexual abuse. Lastly, the interrelationship between Hannetjie’s body stories, mind stories and spirit stories is discussed to show how the learning received from occupational therapy affected my thinking about Hannetjie’s stories and the relationships between them. Thus, it is concluded that transdisciplinary work has great value for practical theology, especially in the pastor’s daily work with people who are struggling with difficult stories, because we cannot listen to people’s spirit stories in isolation. They are inextricably intertwined with all our stories about ourselves. (shrink)

Ante la falta o disminución de la motivación de los alumnos universitarios la enseñanza, y con ello la Universidad se ve en la tesitura de poner en práctica nuevas metodologías más activas y motivantes que permitan a los alumnos tener un rol más protagonista en el proceso de enseñanza y aprendizaje que el que han tenido hasta ahora.En el este artículo se expone una experiencia que consiste en el diseño de un escape room on line enmarcado en el Máster (...) en Educación Especial. Se plantea como objetivo motivar a los alumnos y facilitar el aprendizaje de la asignatura. (shrink)

This paper examines the reasons why peasant migrants in Chinese cities, a long exploited but silent working class, recently started to voice out claims for better protection of their legal rights. As legal consciousness develops among migrant workers, who slowly learn how to mobilize the law in an effort to resist an oppressive system, so does the awareness of the regime's failings and of the need for alternative forms of representation. However, the migrants' attempts to achieve more autonomy have so (...) far been hijacked by the Party_state and hardly give rise to society empowerment. mobilization of the grassroots, how to guide the new civil rights movement towards a nonviolent and legal form of expression; how to limit the negative developments caused by the reform through political reform, protect society’s rights and constrain officials’ rights in order to establish a political system that respects human rights—these are the challenges confronting the Chinese Communist regime if it wants to appease the wrath of the people. (shrink)

In this essay, Chris Higgins sets out to disentangle the tradition of humane learning from contemporary distinctions and debates. The first section demonstrates how a bloated and incoherent “humanism” now functions primarily as a talisman or a target, that is, as a prompt to choose sides. It closes with the image of Doris Salcedo's Shibboleth, suggesting that humanism is more like the uncertain footing of Salcedo's fissure than the footholds on either side. The second section suggests that this “alien (...) humanism” is hiding in plain sight, requiring us only to read an inch beyond the poster-ready copy fueling the polemics. Even a cursory glance at the texts from which these epitomes are drawn — from Terence's “Nothing human is foreign to me,” through Shakespeare's “What a piece of work is a man,” to Arnold's “The best of what has been thought and said” — is enough to reconnect us with a tradition stranger and more dynamic than that portrayed by boosters and knockers alike. The third section explores the tensions between the research university and the tradition of humane letters it has come to house, arguing that it will not do to escape this rancor by hiding behind the functionalist, and ultimately circular, term “humanist,” defined as one who does research in the humanities. The final section shows that if this older tradition pulls away, to some extent, from the modern humanities, it simultaneously embraces scientific and professional fields, as demonstrated by the long tradition of the physician-humanist. (shrink)

From the day on which humans are born they need things. Some of these needs seem “basic,” such as our needs for food, water or shelter. Everybody has these needs. We cannot escape them. We also cannot escape the serious harm that arises when these needs remain unsatisfied. It is thus no wonder that in thinking about what we ought to do some researchers have suggested to first and foremost focus on people's basic needs. Such need‐based theories must (...) answer three main questions: What are basic needs? What are their implications for normative questions? And how can these needs and their satisfaction be measured? Proponents must also defend these theories against objections, such as against the objections that the theories are paternalistic, materialistic, and passivity‐promoting. Depending on their goals and contexts (distributive justice, sustainable development, human rights, etc.), appeals to basic needs may take various different forms. (shrink)

Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality (...) of evidence was assessed using Cochrane's Risk of Bias tool and Grading of Recommendations Assessment, Development, and Evaluation. A random-effects model was used for meta-analysis.Results: Out of 92 articles identified, eight studies involving 815 participants were included in this study. Most trials conducted a minimum of 8 weeks of MBI. Most of the trials used UCLA-Loneliness Scale. A pooled analysis combining three trials and compared with wait-list showed significant improvement in loneliness score reduction using the UCLA-R scale with MD of −6.33 [95% confidence interval : −9.39, −3.26]. Subgroup analysis with only two Cognitively-Based Compassion Training trials also showed similar MD of −6.05. The overall quality of evidence was low.Conclusions: Mindfulness intervention with an average length of 8-week duration significantly improved the population's loneliness level with no mental health issue. However, this evidence had a low GRADE level. (shrink)

Although a fascination with language is a familiar feature of 20th-century empiricism, its origins reach back at least to the early modern period empiricists. John Locke offers a detailed (if sometimes puzzling) treatment of language and uses it to illuminate key regions of the philosophical topography, particularly natural kinds and essences. Locke's main conceptual tool for dealing with language is 'signification'. Locke's central linguistic thesis is this: words signify nothing but ideas. This on its face seems absurd. Don't we need (...) words to signify things as well? But its very absurdity – our inclination to dismiss Locke as a 'linguistic idealist'– should signal to us that we have not yet understood Locke. Doing so must begin with an analysis of signification. Each of the three main interpretations on offer allows Locke to escape the charge of linguistic idealism, although they do so in very different ways. Locke's text also offers an influential account of linguistic particles, words like 'is', 'and' and 'if'. These signify, not ideas, but acts of the mind. These acts can either take place within a proposition, uniting its constituent ideas into a thought that admits of a truth-value, or they can take propositions as their objects, in which case they express attitudes like doubt, assertion and so on. Even this seemingly innocuous sketch of Locke's view is controversial, and many writers, from J.S. Mill onwards, have argued that Locke cannot make sense of propositional attitudes. Apart from the intrinsic interest of these questions, understanding how Locke thinks language works is a prerequisite for understanding his arguments against scholastic essentialism. It also illuminates later discussions of language in Berkeley, Hume and Mill. Author Recommends: 1. Losonsky, Michael. 'Language, Meaning, and Mind in Locke's Essay. ' The Cambridge Companion to Locke's Essay . Ed. Lex Newman. Cambridge: Cambridge UP, 2007. 286–313. In addition to making some original points, Losonsky provides an excellent overview of the three main competing positions on Lockean signification: the Fregean reading, the Scholastic reading and the Indicator theory (see entries 2–5 in the following). 2. Kretzmann, Norman. 'The Main Thesis of Locke's Semantic Theory.' Locke on Human Understanding . Ed. I. C. Tipton. Oxford: Oxford UP, 1975. 123–40. Kretzmann's influential paper offers a broadly Fregean analysis, according to which primary signification is sense and secondary, reference. Locke can then avoid the charge of linguistic idealism, as it is not the case that words signify only ideas. 3. Ashworth, E. J. 'Do Words Signify Ideas or Things?' Journal of the History of Philosophy 19 (1981): 299–326. Ashworth rejects Kretzmann's view, partly on the grounds of anachronism, and sets Locke in his historical context. As she reads Locke, he holds a scholastic position, according to which signification amounts to 'making known' or 'expressing'. This preserves the portmanteau analysis of Kretzmann: words can primarily signify or express ideas, while secondarily signifying things. 4. Lowe, E. J. 'Language and Meaning,' chapter 4. Locke . London: Routledge, 2005. This is a spirited defense of Locke's claim that words signify ideas against contemporary prejudices. Like Ian Hacking (see entry 7 in the following), Lowe argues that Locke is not offering a semantic theory in anything like the contemporary sense; rather, he is concerned with explaining human communication. 5. Ott, Walter. Locke's Philosophy of Language . Cambridge: Cambridge UP, 2004. On the interpretation offered in chapter 1, Lockean signification is indication: words signify ideas in the same sense in which clouds signify rain. If this view is correct, Locke is departing from the particular scholastic tradition Ashworth focuses on, and embracing instead a tradition running from the Stoics through Thomas Hobbes. http://www.springerlink.com/content/xv362655719101n3/ 6. Winkler, Kenneth. 'Signification, Intention, Projection.' Forthcoming, Philosophia . http://www.springerlink.com/content/xv362655719101n3 Although previous commentators acknowledge the role of intentions in Locke's view (see especially Kretzmann's argument from the uses of words), Winkler claims that they are far more central to Locke's view than has been supposed. In particular, Winkler uses these considerations to criticize the indicator interpretation. 7. Hacking, Ian. Why Does Language Matter to Philosophy? Cambridge: Cambridge UP, 1975. Much broader in focus than these other works, Hacking's classic text has much to say about early modern views on language. Hacking argues that Hobbes and Locke do not, properly speaking, even have theories of meaning. Online Materials The Stanford Encyclopedia of Philosophy's entry on Locke, by William Uzgalis: http://plato.stanford.edu/entries/locke/ > The Internet Encyclopedia of Philosophy's entry on Locke, author unknown: http://www.utm.edu/research/iep/l/locke.htm > Sample Syllabus Weeks 1–2: What is Locke's linguistic thesis? Is it a semantic thesis at all? Ashworth, E. J. 'Do Words Signify Ideas or Things?' Journal of the History of Philosophy 19 (1981): 299–326. Kretzmann, Norman. 'The Main Thesis of Locke's Semantic Theory.' Locke on Human Understanding . Ed. I. C. Tipton. Oxford: Oxford UP, 1975. 123–40. Locke, Essay III. i–iii. Lowe, E. J. 'Language and Meaning,' chapter 4. Locke . London: Routledge, 2005. Week 3: Propositions and attitudes Locke, Essay III. vii. Ott, Walter. 'Propositional Attitudes in Modern Philosophy.' Dialogue 41 (2002): 1–18. Owen, David. 'Locke on Judgment.' The Cambridge Companion to Locke's Essay . Ed. Lex Newman. Cambridge: Cambridge UP, 2007. 406–35. If one wanted to explore whether and how Locke applies his semiotic theory in his anti-essentialist argument, one might add (or perhaps replace Week 3 with): Week 4: Applications Bolton, Martha. 'The Relevance of Locke's Theory of Ideas to his Doctrine of Nominal Essence and Anti-Essentialist Semantic Theory.' Locke . Ed. Vere Chappell. Oxford: OUP, 1998. pp. 214–225 Locke, Essay III. vi; III.xi. 4–22. Ott, Walter. 'Locke's Argument from Signification.' Locke Studies 2 (2002): 145–76. Focus Questions 1. What is a semantic theory? What do we want out of such a theory, and does Locke even purport to provide one? 2. What are the differences among the three main competing readings of Locke? What is at stake here? What, if anything, turns on which of them accurately captures Locke's view? 3. How does Locke think his linguistic thesis tells against competing views, such as those of the scholastics? 4. What is the difference between a proposition and a list? Can Locke account for this difference? 5. There is clearly a difference between merely thinking that the cat is on the mat and asserting that it is. Can Locke account for this difference? (shrink)

Heresies are intrinsically intertwined with the evolution and inner growth of the very religions that denounce them. They serve as theological junctures, challenging and thus refining the orthodoxy of religious beliefs. The Pelagian heresy touches on one of the central tenets of Christian theology: the question of salvation. Pelagianism posits that human beings retain freedom of the will and, more specifically, the capacity to earn salvation through their own merits rather than relying solely on the grace of God in (...) Christ. This stands in contrast to the predominant Christian view that Original Sin fundamentally impaired man’s will and intellect. A central tenet of Christianity is that through His suffering and death on the Cross, Christ atoned for humanity’s Original Sin and paved the way for our redemption. But what exactly made this redemption possible through the suffering and death on the Cross? Unlike many of the answers offered, Abelard’s explanation, also referred to as exemplarism, resonates with modern sensibilities: Christ set an example to imitate, and through this imitation, man learns humility and love. However, this stance faced criticism and was condemned by Bernard of Clairvaux as having Pelagian tendencies because it suggests that Christ’s redemptive work might not inherently require Christ’s divine nature. This study will attempt to defend the exemplaristic approach while ensuring Christ’s essential role and addressing criticisms against the Pelagian heresy. This discussion is further enriched by an examination of the Eucharist, illuminating the theological tension between symbolic and realistic interpretations of religious rites. (shrink)

A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation (...) system, the essay analyzes Keller’s belief that learning that “everything has a name” was the key to her success, enabling her to “partition” her mental concepts into mental representations of: words, objects, and the naming relations between them. It next looks at Herbert Terrace’s theory of naming, which is akin to Keller’s, and which only humans are supposed to be capable of. The essay suggests that computers at least, and perhaps non-human primates, are also capable of this kind of naming. (shrink)

Since Seligman's 1971 statement that the vast majority of phobias are about objects essential to the survival of a species, a multitude of laboratory studies followed, supporting the finding that humans learn to fear and detect snakes (and other animals) faster than other stimuli. Most of these studies used schematic drawings, images, or pictures of snakes, and only a small amount of fieldwork in naturalistic environments was done. We address fear preparedness theories, and automatic fast detection data from mainstream laboratory (...) data and compares it with ethobehavioural information relative to snakes, predator-prey interaction, and snakes’ defensive kinematics strikes in order to analyse their potential matching. From this analysis four main findings arose, namely that: 1) Snakebites occur when people are very close to the snake and are unaware or unable to escape the bite; 2) Human visual detection and escape response is slow compared to the speed of snake strikes; 3) In natural environments, snake experts are often unable to see snakes existing nearby; 4) animate objects in general capture more attention over other stimuli and dangerous but recent objects in evolutionary terms are also able to be detected fast. The issues mentioned above pose several challenges to evolutionary psychology-based theories expecting to find special-purpose neural modules. The older selective habituation hypothesis (Schleidt, 1961), that prey animals start with a rather general predator image from which specific harmless cues are removed by habituation might deserve reconsideration. (shrink)

With increasing influence of illiberalism, freedom should not be considered or interpreted lightly. Post-truth contexts provide grounds for alt-right movements to capture and pervert notions of freedom of speech, making universities battlefields of politicised emotions and expressions. In societies facing these pressures around the world, academic freedom has never been challenged as much as it is today. As Peters and colleagues note, conceptualisations of ‘facts’ and ‘evidences’ are politically, socially, and epistemically reconstructed in post-truth contexts. At the same time, with (...) intelligence commodified, reified or marginalised, freedom of speech and of mobility can entail fights for entitlements, or escapes from local responsibilities. The decline and corruptions of democratic free speech and academic freedom, or the absence of forces to defend them, are thus serious challenges. These challenges grow as the competition of ideas, sometimes under the rubric of academic freedom, often implies the power struggle and questioning of statuses in the so-called ‘marketplace of ideas’. Competition as a value invoked in some conceptualisations of freedom, becomes more important than human dignity, which was originally supposed to expand and strengthen under democratic conceptions of freedom in higher education. What had been happening to freedoms, of speech, teaching, and learning, across different subject positions and cultures of higher education, remains largely underexplored, as alt-right movements, neoliberalism and illiberalism, and post-truthism values and orientations expand. (shrink)

The problem of evil is a much-debated issue and is as old as human history itself. Evil is a universal and the most common experience of humans, in the sense it functions as a common denominator and no one escapes. Evil causes a sense of isolation. This is evident in the lives of theists. Evil isolates humans from God. Evil is also one such experience that is personal and existential. Evil brings along a lot of meaninglessness. Here it expresses (...) itself as victimization. (shrink)

Traditional human–computer interaction (HCI) allowed researchers and practitioners to share and rely on the ‘five E’s’ of usability, the principle that interactive systems should be designed to be effective, efficient, engaging, error tolerant, and easy to learn. A recent trend in HCI, however, is that academic researchers as well as practitioners are becoming increasingly interested in user experiences, i.e., understanding and designing for relationships between users and artifacts that are for instance affective, engaging, fun, playable, sociable, creative, involving, meaningful, (...) exciting, ambiguous, and curious. In this paper, it is argued that built into this shift in perspective there is a concurrent shift in accountability that is drawing attention to a number of ethical, moral, social, cultural, and political issues that have been traditionally de-emphasized in a field of research guided by usability concerns. Not surprisingly, this shift in accountability has also received scarce attention in HCI. To be able to find any answers to the question of what makes a good user experience, the field of HCI needs to develop a philosophy of technology. One building block for such a philosophy of technology in HCI is presented. Albert Borgmann argues that we need to be cautious and rethink the relationship as well as the often-assumed correspondence between what we consider useful and what we think of as good in technology. This junction—that some technologies may be both useful and good, while some technologies that are useful for some purposes might also be harmful, less good, in a broader context—is at the heart of Borgmann’s understanding of technology. Borgmann’s notion of the device paradigm is a valuable contribution to HCI as it points out that we are increasingly experiencing the world with, through, and by information technologies and that most of these technologies tend to be designed to provide commodities that effortlessly grant our wishes without demanding anything in return, such as patience, skills, or effort. This paper argues that Borgmann’s work is relevant and makes a valuable contribution to HCI in at least two ways: first, as a different way of seeing that raises important social, cultural, ethical, and moral issues from which contemporary HCI cannot escape; and second, as providing guidance as to how specific values might be incorporated into the design of interactive systems that foster engagement with reality. (shrink)

This article addresses computational procedures that are no longer constrained by human modes of representation and considers how these procedures could be philosophically understood in terms of ‘algorithmic thought’. Research in deep learning is its case study. This artificial intelligence technique operates in computational ways that are often opaque. Such a black-box character demands rethinking the abstractive operations of deep learning. The article does so by entering debates about explainability in AI and assessing how technoscience and technoculture (...) tackle the possibility to ‘re-present’ the algorithmic procedures of feature extraction and feature learning to the human mind. The article thus mobilises the notion of incommensurability to address explainability as a communicational and representational issue, which challenges phenomenological and existential modes of comparison between human and algorithmic ‘thinking’ operations. (shrink)

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)

Learning from demonstration is one of the promising approaches for fast robot programming. Most learning systems learn both movements and stiffness profiles from human demonstrations. However, they rarely consider the unknown environment interaction. In this paper, a robot human-like learning framework is proposed, where it can learn human skills through demonstration and complete the interaction task with an unknown environment. Firstly, the desired trajectory was generated by dynamic movement primitive based on human demonstration. (...) Then, an adaptive optimal admittance control scheme was employed to interact with environments with the reference adaptation method. Finally, the experimental study was conducted, and the effectiveness of the framework proposed in this paper was verified via a group of curved surface wiping experiments on a balloon with unknown model parameters. (shrink)

Sequential action makes up the bulk of human daily activity, and yet much remains unknown about how people learn such actions. In one motor learning paradigm, the serial reaction time (SRT) task, people are taught a consistent sequence of button presses by cueing them with the next target response. However, the SRT task only records keypress response times to a cued target, and thus it cannot reveal the full time‐course of motion, including predictive movements. This paper describes a (...) mouse movement trajectory SRT task in which the cursor must be moved to a cued location. We replicated keypress SRT results, but also found that predictive movement—before the next cue appears—increased during the experiment. Moreover, trajectory analyses revealed that people developed a centering strategy under uncertainty. In a second experiment, we made prediction explicit, no longer cueing targets. Thus, participants had to explore the response alternatives and learn via reinforcement, receiving rewards and penalties for correct and incorrect actions, respectively. Participants were not told whether the sequence of stimuli was deterministic, nor if it would repeat, nor how long it was. Given the difficulty of the task, it is unsurprising that some learners performed poorly. However, many learners performed remarkably well, and some acquired the full 10‐item sequence within 10 repetitions. Comparing the high‐ and low‐performers’ detailed results in this reinforcement learning (RL) task with the first experiment's cued trajectory SRT task, we found similarities between the two tasks, suggesting that the effects in Experiment 1 are due to predictive, rather than reactive processes. Finally, we found that two standard model‐free reinforcement learning models fit the high‐performing participants, while the four low‐performing participants provide better fit with a simple negative recency bias model. (shrink)

Sequential action makes up the bulk of human daily activity, and yet much remains unknown about how people learn such actions. In one motor learning paradigm, the serial reaction time (SRT) task, people are taught a consistent sequence of button presses by cueing them with the next target response. However, the SRT task only records keypress response times to a cued target, and thus it cannot reveal the full time‐course of motion, including predictive movements. This paper describes a (...) mouse movement trajectory SRT task in which the cursor must be moved to a cued location. We replicated keypress SRT results, but also found that predictive movement—before the next cue appears—increased during the experiment. Moreover, trajectory analyses revealed that people developed a centering strategy under uncertainty. In a second experiment, we made prediction explicit, no longer cueing targets. Thus, participants had to explore the response alternatives and learn via reinforcement, receiving rewards and penalties for correct and incorrect actions, respectively. Participants were not told whether the sequence of stimuli was deterministic, nor if it would repeat, nor how long it was. Given the difficulty of the task, it is unsurprising that some learners performed poorly. However, many learners performed remarkably well, and some acquired the full 10‐item sequence within 10 repetitions. Comparing the high‐ and low‐performers’ detailed results in this reinforcement learning (RL) task with the first experiment's cued trajectory SRT task, we found similarities between the two tasks, suggesting that the effects in Experiment 1 are due to predictive, rather than reactive processes. Finally, we found that two standard model‐free reinforcement learning models fit the high‐performing participants, while the four low‐performing participants provide better fit with a simple negative recency bias model. (shrink)

The central focus of this article is the epistemological assumption that knowledge could be generated based on human beings’ experiences and over their conceptions of the world. Logical characterisation of human inductive learning over their produced conceptions within terminological systems and providing a logical background for theorising over the Human Concept Learning Problem (HCLP) in terminological systems are the main contributions of this research. In order to make a linkage between ‘Logic’ and ‘Cognition’, Description Logics (...) (DLs) will be employed to provide a logical description and analysis of actual human inductive reasoning (and learning). This research connects with the topics ‘logic & learning’, ‘cognitive modelling’, and ‘terminological knowledge representation’. (shrink)

The past 50 years have seen an accumulation of evidence suggesting that associative learning depends on high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with (...) the unconscious processes involved in memory retrieval and perception. We argue that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research. (shrink)

Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class-conditional independence of features. This feature independence assumption simplifies the inference problem, allows for informed inferences about novel feature combinations, and performs robustly across different statistical environments. We designed a new Bayesian classification learning model that incorporates varying degrees of prior belief in class-conditional independence, learns whether or not (...) independence holds, and adapts its behavior accordingly. Theoretical results from two simulation studies demonstrate that classification behavior can appear to start simple, yet adapt effectively to unexpected task structures. Two experiments—designed using optimal experimental design principles—were conducted with human learners. Classification decisions of the majority of participants were best accounted for by a version of the model with very high initial prior belief in class-conditional independence, before adapting to the true environmental structure. Class-conditional independence may be a strong and useful default assumption in category learning tasks. (shrink)

Dual process accounts of affective learning state that the learning of likes and dislikes reflects a learning mechanism that is distinct from the one reflected in expectancy learning, the learning of signal relationships, and has different empirical characteristics. Affective learning, for example, is said not to be affected by: (a) extinction training; (b) occasion setting; (c) cue competition; and (d) awareness of the CS-US contingencies. These predictions were tested in a series of experiments that (...) employed simple Pavlovian conditioning procedures. Neutral visual pictures of geometric shapes, or tactile conditional stimuli (CS) were paired with aversive electrotactile unconditional stimuli (US). Dependent measures were physiological (skin conductance, blink startle modulation) or verbal (US expectancy, on-line and off-line ratings of CS pleasantness). Different combinations of these dependent measures were employed across different experiments in an attempt to assess affective and expectancy learning simultaneously. Changes in CS pleasantness as indexed by ratings or blink startle modulation were readily observed. However, contrary to the predictions from dual-process accounts, results indicated that acquired CS unpleasantness is subject to extinction, occasion setting, cue competition, and not found in absence of CS-US contingency awareness. (shrink)