Complexity is pleased to announce the installment of Prof Hiroki Sayama as its new Chief Editor. In this Editorial, Prof Sayama describes his feelings about his recent appointment, discusses some of the journal’s journey and relevance to current issues, and shares his vision and aspirations for its future.

This article presents the results of an experiment which investigated elementary school children's explanations of the day/night cycle. First, third, and fifth grade children were asked to explain certain phenomena, such as the disappearance of the sun during the night, the disappearance of stars during the day, the apparent movement of the moon, and the alteration of day and night. The results showed that the majority of the children in our sample used in a consistent fashion a small number of (...) relatively well‐defined mental models of the earth, the sun, and the moon to explain the day/night cycle. These mental models of the day/night cycle were empirically accurate, logically consistent and revealed some sensitivity on the part of the children to issues of simplicity of explanation. The younger children formed Initial mental models which provided explanations of the day/night cycle based on everyday experience (e.g., the sun goes down behind mountains, clouds cover up the sun). The older children constructed synthetic mental models (e.g., the sun and the moon revolve around the stationary earth every 24 hours; the earth rotates in an up/down direction and the sun and moon are fixed on opposite sides) which represented attempts to synthesize the culturally accepted view with aspects of their Initial models. A few of the older children appeared to have constructed a mental model of the day/night cycle similar to the scientific one. A theoretical framework is outlined which explains the formation of initial, synthetic, and scientific models of the day/night cycle in terms of the reinterpretation of a hierarchy of constraints, some of which are present early in the child's life, and others which emerge later out of the structure of the acquired knowledge. (shrink)

This book focuses on the gradual formation of the concept of ‘light quanta’ or ‘photons’, as they have usually been called in English since 1926. The great number of synonyms that have been used by physicists to denote this concept indicates that there are many different mental models of what ‘light quanta’ are: simply finite, ‘quantized packages of energy’ or ‘bullets of light’? ‘Atoms of light’ or ‘molecules of light’? ‘Light corpuscles’ or ‘quantized waves’? Singularities of the field (...) or spatially extended structures able to interfere? ‘Photons’ in G.N. Lewis’s sense, or as defined by QED, i.e. virtual exchange particles transmitting the electromagnetic force? The term ‘light quantum’ made its first appearance in Albert Einstein’s 1905 paper on a “heuristic point of view” to cope with the photoelectric effect and other forms of interaction of light and matter, but the mental model associated with it has a rich history both before and after 1905. Some of its semantic layers go as far back as Newton and Kepler, some are only fully expressed several decades later, while others initially increased in importance then diminished and finally vanished. In conjunction with these various terms, several mental models of light quanta were developed—six of them are explored more closely in this book. It discusses two historiographic approaches to the problem of concept formation: the author’s own model of conceptual development as a series of semantic accretions and Mark Turner’s model of ‘conceptual blending’. Both of these models are shown to be useful and should be explored further. This is the first historiographically sophisticated history of the fully fledged concept and all of its twelve semantic layers. It systematically combines the history of science with the history of terms and a philosophically inspired history of ideas in conjunction with insights from cognitive science. (shrink)

Cybersecurity research often describes people as understanding internet security in terms of metaphorical mental models (e.g., disease risk, physical security risk, or criminal behavior risk). However, little research has directly evaluated if this is an accurate or productive framework. To assess this question, two experiments asked participants to respond to a statistical reasoning task framed in one of four different contexts (cybersecurity, plus the above alternative models). Each context was also presented using either percentages or natural frequencies, and these (...) tasks were followed by a behavioral likelihood rating. As in previous research, consistent use of natural frequencies promoted correct Bayesian reasoning. There was little indication, however, that any of the alternative mental models generated consistently better understanding or reasoning over the actual cybersecurity context. There was some evidence that different models had some effects on patterns of responses, including the behavioral likelihood ratings, but these effects were small, as compared to the effect of the numerical format manipulation. This points to a need to improve the content of actual internet security warnings, rather than working to change the models users have of warnings. (shrink)

Mental models influence how individuals think and act in relation to their external environment and have been identified as leverage points to address sustainability challenges. Given the importance of mental models, a new tool to assess mental models has been developed: the Mental Model Mapping Tool. M-Tool was designed to have a standardized format and to be user-friendly for low literacy populations, using pictograms and audio instructions. In this paper, we evaluate M-Tool’s application in two (...) studies with Tanzanian fishers. In Study 1, we investigated M-tool’s convergent validity compared to standard interviewing methods. Study 2 investigated M-Tool’s construct validity by relating mental model complexity to participants’ education level, a relationship that has been well established. The findings show that mental models produced with M-Tool are more complex than mental models obtained through interviewing techniques; model composition is similar across the two methods; and participants with higher levels of education tend to produce more complex mental models with M-Tool than participants with lower levels of education, in line with previous research. These findings suggest that M-Tool can successfully capture mental models among diverse participants. This tool offers researchers and practitioners an instrument to map and compare perceptions of challenges across groups. (shrink)

Aristotle is oftentimes viewed through a strictly philosophical lens as heir to Plato and has having introduced logical rigor where an emphasis on the theory of Forms formerly prevailed. It must be appreciated that Aristotle was the son of a physician, and that his inculcation of the thought of other Greek philosophers addressing health and the natural elements led to an extremely broad set of biologically- and medically-related writings. As this article proposes, Aristotle deepened the fourfold theory of the elements (...) with anatomic and physiologic observations. In books like History of Animals, Parts of Animals, and the lost Anatomai, he actively dissected organisms and recorded his findings. The corpus of medically-related literature Aristotle developed had a direct influence on subsequent Greek thinkers, including Galen, and on Medieval Islamic and modern Western practitioners such as William Harvey. Aristotle's ideas continue to influence modern medical thinkers in Europe and America through both his interpretation by European philosophers gaining the attention of medical humanists, and his writings' enduring impact on medical researchers balancing scientific with more personalistic approaches to medicine. (shrink)

Mental spatial knowledge processing often uses spatio-analogical or quasipictorial representation structures such as spatial mental models or mental images. The cognitive architecture Casimir is designed to provide a framework for computationally modeling human spatial knowledge processing relying on these kinds of representation formats. In this article, we present an overview of Casimir and its components. We briefly describe the long-term memory component and the interaction with external diagrammatic representations. Particular emphasis is placed on Casimir’s working memory and (...) control mechanisms. Regarding working memory, we describe the conceptual foundations and the processing mechanisms employed in mental spatial reasoning. With respect to control, we explain how it is realized as a distributed, emergent facility within Casimir. (shrink)

Purpose. Romanticism as a movement developed in Germany, where, becoming the philosophy of time in the 18th-19th centuries, spread to all European countries. The "mobility" of the Romantic doctrine, its diversity, sometimes contradictory views, attitude to man as a free, harmonious, creative person led to the susceptibility of this movement by ethnic groups, different in nature and mentality. Its ideas found a wide response in Ukraine with its "cordocentric" type of culture in the early nineteenth century. Since the peculiarity of (...) "Ukrainian Romanticism" was its "literary-centric" nature, the purpose of this study is to analyse and comprehend the place of man in the national philosophy and literature of this period. Accordingly, the main tasks of the work are as follows: to determine the main features, the nature of Ukrainian Romanticism; to trace the main vectors of comprehension and image of man in the literature of this time. Theoretical basis. The ideas of European Romanticism were creatively rethought and assimilated during the emergence of new Ukrainian literature. It provided samples of highly artistic works, unique names of talented writers – creators and thinkers, who in their works reflected the philosophy of time. Based on the works of F. Schlegel, partly E. Husserl, M. Heidegger, K. Jaspers, Romanticism in the Ukrainian humanities, in terms of philosophy, culturology, as well as at the intersection with literature, was studied by T. Bovsunivska, Y. Hrybkova, S. Efremov, N. Kalenichenko, S. Kozak, T. Komarynets, D. Nalyvayko, Y. Nakhlik, I. Ogorodnyk, V. Ogorodnyk, A. Sinitsyna, D. Chyzhevsky, M. Yatsenko, E. Kyryliuk, M. Biletsky, D. Dontsov, S. Efremov, G. Kostyuk, S. Krymsky, Y. Sherekh and others. Originality. The authors of the article prove that Romanticism in Ukraine, being "literary-centric" inherently, having absorbed the main ideas and features of European Romanticism, has its own features and vectors of formation and development. Man in this kind of movement, thanks to the means of art, appears very clearly as a spiritually rich, sensitive, vulnerable and strong person. For him or her, the highest value is freedom, the ability to make freely independent fateful decisions. Conclusions. Ukrainian writers, reflecting the philosophical ideas of Romanticism, saw in man a harmonious combination of "natural" and "social", through which he indirectly carries out his own national existence. In addition to the objective realities of the external world, in their works, Romantic writers appeal to the subjective, internal, spiritual, "ideal" world of the hero, who interacts with reality through his own system of values. At each level of development of the humanities and methodology of cognition, this allows a new reading of these works. (shrink)

Relational reasoning is a complex form of human cognition involving the evaluation of relations between mental representations of information. Prior studies have modified stimulus properties of relational reasoning problems and examined differences in difficulty between different problem types. While subsets of these stimulus properties have been addressed in separate studies, there has not been a comprehensive study, to our knowledge, which investigates all of these properties in the same set of stimuli. This investigative gap has resulted in different findings (...) across studies which vary in task design, making it challenging to determine what stimulus properties make relational reasoning—and the putative formation of mental models underlying reasoning—difficult. In this article, we present the Multidimensional Relational Reasoning Task, a task which systematically varied an array of stimulus properties within a single set of relational reasoning problems. Using a mixed-effects framework, we demonstrate that reasoning problems containing a greater number of the premises as well as multidimensional relations led to greater task difficulty. The MRRT has been made publicly available for use in future research, along with normative data regarding the relative difficulty of each problem. (shrink)

Observations from philosophy and psychology heavily favor the Empiricist tenet that many lexical concepts are learned. However, many observations also heavily favor the Nativist tenet that such concepts are representationally atomic. Fodor Representations: Philosophical essays on the foundations of cognitive science, 1981, LOT2: The language of thought revisited, 2008) has famously argued that representationally atomic concepts cannot be learned, at least not learned by hypothesis formation and testing. Concept theorists who want to preserve observations about concept learning have developed (...) acquisition models on which the acquired concepts are either non-atomic or are acquired by a process that doesn’t involve hypothesis formation and testing. I offer a model, Baptizing Meanings for Concepts, in which representationally atomic concepts are learned by hypothesis formation and testing. The concepts are learned by the agent’s hypothesizing the existence of a latent/hidden/imperceptible property in objects to explain the objects’ perceptible similarities. Once a hidden property is hypothesized, a new atomic mental name is assigned to it, and this atomic name becomes the concept. Any connections between the name and the representations involved in linking the name to its referent are stored as contingent. Further experience may give the agent reason to revise its hypotheses about latent properties as explanations for its observations. I discuss a software robot implementation of the BMC process that uses a Bayesian learning network. The implementation provides an existence proof of the possibility of learning representationally atomic concepts by hypothesis formation and testing. (shrink)

Observations from philosophy and psychology heavily favor the Empiricist tenet that many lexical concepts are learned. However, many observations also heavily favor the Nativist tenet that such concepts are representationally atomic. Fodor Representations: Philosophical essays on the foundations of cognitive science, 1981, LOT2: The language of thought revisited, 2008) has famously argued that representationally atomic concepts cannot be learned, at least not learned by hypothesis formation and testing. Concept theorists who want to preserve observations about concept learning have developed (...) acquisition models on which the acquired concepts are either non-atomic or are acquired by a process that doesn’t involve hypothesis formation and testing. I offer a model, Baptizing Meanings for Concepts, in which representationally atomic concepts are learned by hypothesis formation and testing. The concepts are learned by the agent’s hypothesizing the existence of a latent/hidden/imperceptible property in objects to explain the objects’ perceptible similarities. Once a hidden property is hypothesized, a new atomic mental name is assigned to it, and this atomic name becomes the concept. Any connections between the name and the representations involved in linking the name to its referent are stored as contingent. Further experience may give the agent reason to revise its hypotheses about latent properties as explanations for its observations. I discuss a software robot implementation of the BMC process that uses a Bayesian learning network. The implementation provides an existence proof of the possibility of learning representationally atomic concepts by hypothesis formation and testing. (shrink)

In this theoretical study we explore the concept of intentional-ity. Intentionality is the specific reference that mental phenomena have with respect to objects, also termed the 'aboutness' of cognitive acts. We discuss intentionality on the basis of self-organized pattern formation, a ubiquitous phenomenon in complex open systems. Dynamical systems theory provides an understanding of how emergent variables originate from microscopic variables. Control parameters comprise those external parameters and gradients that drive the systems they represent environmental inuences. The relationship (...) between pattern formation and control parameters therefore addresses the functioning of a system in its environment. Our hypothesis is that self-organizing systems exhibit intentionality-like capabilities in their responses to environmental inuences. This is modelled using differential calculus, by which we demonstrate how pattern formation reduces control parameters in an efficient manner. These ideas are applied to the complex system brain, using the Wilson-Cowan equations of axonal pulse rates in neural networks. (shrink)

In science, models are used in many different ways: to test empirical hypotheses, to help in theory formation, to visualize data, and so on. Scientists construct and study the behavior of models, and compare this to observed behavior of a target system. We propose that for this to be possible models must carry information about their targets. When models are viewed as information carrying entities, this property can be used as a foundation for a representational theory of models. This (...) account presents a way of avoiding the need to refer to modelers’ intentions (or their mental states) as constitutive of the semantics of scientific representations. Moreover, an information theory based account of scientific representations can provide a naturalistic account of models which can deal the problems of asymmetry, relevance and circularity that afflict currently popular proposals based on user intentions. From the information semantic perspective, models as scientific representations can be considered a special case of a larger problem of naturalistic representation. In this paper we will look at what we think is the most promising avenue of developing this information theoretic account of representational models. Traditionally, there has been a strong tendency towards a clear-cut division of labor between philosophers of science and philosophers of mind. We believe that there are some important philosophical insights about representation that are relevant for both camps. (shrink)

The formation and research of Constructivism theory is another understanding in developing educational psychology. Many problems exist in English vocabulary teaching and learning, which are too common to be noticed, negatively and implicitly impacting Students’ English Vocabulary Memorization. In order to solve these problems, this work studies college Students’ EVM from the perspective of Constructivism. Firstly, the literature review and observation method understand the Students’ EVM performance and teaching behavior. Secondly, it analyzes the current situation, problems, and reasons for (...) Students’ poor EVM abilities. Finally, combined with relevant theories, a college Students’ EVM-oriented teaching model is proposed, whose effectiveness is verified by teaching experiments. The experiment recruits100 freshmen, including 60 boys and 40 girls, and lasts half a semester. The average score of the final exam in the experimental group is more than 90, which is better than that in the control group. Then, the SPSS21.0 is used in the independent-samples t-test, finding no significant difference. Thus, the experimental group’s comprehensive English Proficiency Level has not been negatively affected. The proposed teaching model can improve Students’ EVM efficiency and consolidate their memory. The proposal has important guiding significance for stimulating Students’ interest in English vocabulary learning and the quality of vocabulary teaching. (shrink)

One of the most considerable changes in the contemporary European educational mentality is a person's disconnection from spiritual life. Christian formation has been replaced with religious pluralism, in terms of syncretism influenced by global economic ideologies. Some consequences are low resilience and low spiritual resistance to contemporary challenges, associated with mental traumas or social behaviour deficits. Is it possible to restore the modern person's spiritual education? There is no evolution in the modern individual's social life without a horizon (...) of spiritual expectation and fulfilment, different from the strictly material one. Moreover, conscious education cannot deprive people of cultivating the spiritual part of their consciousness from which the real values of existence are born. A series of arguments for renewing the relation between school and the mature, Scripture-based Christian thinking in the spirit of the European pedagogy are revealed by the factual historical analyses. Both Eastern and Western European experiences have met after 13 years of evolving into two antagonist geopolitical spheres. Their lessons in the education field could be an appropriate model, academically applied at the cultural mentality and the European pedagogy level. CONTRIBUTION: With this study, I want to highlight the historical and conceptual frameworks of the Christian religious education meaning in the context of the rediscovery of Orthodox Christianity by the international theological culture in post-communism. Orthodox Christianity, forgotten in dictionaries and syntheses by the Western theological elite, brings in a spiritualisation of education according to the Lord Jesus Christ's Gospel and not of the ideological cultural interests. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Should Clinicians’ Views of Mental Illness Influence the DSM?Elizabeth H. Flanagan (bio) and Roger K. Blashfield (bio)Keywordsclinicians, DSM, values, psychopathology, scienceThe relationship between clinicians and the DSM is complex. Clinicians are the primary intended audience of the DSM. However, as Widiger (2007) pointed out in his commentary, there is a tension associated with trying to meet the clinical goals of the DSM and also trying to optimize the (...) scientific goals of the DSM. Most commentators would agree that the recent editions of the DSM (from the DSM-III onward) have favored scientific values (e.g., Sadler 2005). Some commentators have taken sides and aligned themselves with either clinicians or with the science of classification. For instance, Garb (2005) has argued that clinicians should receive incentives to align themselves more closely with the science of the DSM. In contrast, Westen and Shedler (1999) have favored a clinician-based approach to the DSM and have argued that an ideal classification should be based on the prototypes that clinicians use to conceptualize diagnostic categories. Perhaps an extreme suggestion on how to deal with this tension between the values of clinicians and the values of scientists is to adopt the ICD-10 solution and create two versions of the next DSM. One version would be written for clinicians and another for researchers (Phillips et al. 2003).Widiger (2007) wondered whether the two of us as authors are on the fence about how the views of clinicians should affect the DSM. As clinical psychologists who are both clinicians and researchers, we understand his comment, especially in light of our attempt in our article not to overgeneralize from the time-consuming, labor-intensive, yet methodologically limited study we reported in our major paper.Nonetheless, our answer to the question asked in the title of this response, “Should clinicians’ views of mental illness influence the diagnostic manual?” is a clear and unequivocal yes. In our view, too much of the research literature stimulated by the recent DSMs has primarily used the diagnostic criteria in these DSMs to specify patient samples and then perform various experiments to study the DSM categories. We favor a different approach to research which is consistent with a comment once made by the philosopher of science, Karl Popper: “scientific theories originate from myths, and... a myth may contain important anticipations of scientific theories” (1963, 39). We believe that clinicians, with their years [End Page 285] of experience dealing with the ambiguities, the emotionality, and the chaos of psychopathology, have formed complex conceptual systems to try to understand the mysteries of abnormal behavior. We strongly support increased research attempts that will use clinicians as subjects and that will attempt to understand how clinicians use diagnostic concepts to understand patients.Although research on clinicians has not attracted a large amount of attention in the field, there is a long history of such research studies. For instance, in the 1970s, Overall used multivariate techniques to create graphical maps of how clinicians represented relationships among diagnoses (Overall et al. 1977). Widiger has used a similar strategy in some of his research (Widiger et al. 1987). In the early 1980s, a view of concept formation from cognitive psychology was used by Cantor et al. (1980) to look at psychiatric diagnoses as representing prototypes. Horowitz and colleagues extended this research. Blashfield and his colleagues had a grant to use the prototype model to study personality disorders and performed research investigating both case histories (Blashfield et al. 1985) and analyses of diagnostic criteria (Blashfield and Breen 1989; Davis, Blashfield, and McElroy 1993). Westen and colleagues have attempted to reconceptualize DSM personality disorder categories using the prototype model (Westen and Shedler 1999). Ahn and her colleagues (Ahn et al. 2006; Kim and Ahn 2002) have taken more recent applications of ideas from cognitive psychology to study how clinicians use and understand diagnostic categories. Finally, Flanagan and colleagues (Flanagan and Blashfield 2006; Flanagan, Keeley, and Blashfield, in press; Flanagan, Miller, and Davidson, submitted) have used qualitative and quantitative data analysis techniques to try to understand the diagnostic concepts held by experienced clinicians.Besides empirical studies of how clinicians use diagnostic concepts, we also support the increased interest in... (shrink)

Theories concerning the structure, or format, of mental representation should (1) be formulated in mechanistic, rather than metaphorical terms; (2) do justice to several philosophical intuitions about mental representation; and (3) explain the human capacity to predict the consequences of worldly alterations (i.e., to think before we act). The hypothesis that thinking involves the application of syntax-sensitive inference rules to syntactically structured mental representations has been said to satisfy all three conditions. An alternative hypothesis is that thinking (...) requires the construction and manipulation of the cognitive equivalent of scale models. A reading of this hypothesis is provided that satisfies condition (1) and which, even though it may not fully satisfy condition (2), turns out (in light of the frame problem) to be the only known way to satisfy condition (3). (shrink)

Beyond their linguistic and rhetorical uses, the mental epistemic verbs to knowand to believe reveal a basic conceptual system for human intentionality and the theory of representational mind. Numerous studies, particularly in the field of child development, have been devoted to the conditions under which knowledge and belief are acquired. Upstream of this empirical approach, this paper proposes a topological model of the conceptual structure underlying the linguistic use of to know and to believe. A cusp model (...) of catastrophe theory is chosen to model the formation of epistemic states. Its main characteristic is considering to believe as an intermediate state which lacks stability and presents the delayed effect of hysteresis. The attribution of mental states to the other (viewpoint of the third person) is obtained by the crossing of first and third person knowledge and belief, which gives rise to new categories (to know if and to falsely believe) and closes the system. Another merging of the beliefs of persons A and B, using the butterfly catastrophe, provides a model of interpersonal belief appreciated by an independent observer along a potential evolving from agreement to disagreement. (shrink)

Johnson-Laird's mental models theory claims that reasoning is a semantic process of construction and manipulation of models in working memory of limited capacity. Accordingly, both a deduction and a given interpretation of a premise would be all the harder the higher the number of models they require. The purpose of the present experiment was twofold. First, it aimed to demonstrate that the interpretation of if...then conditional sentences in children (third, sixth, and ninth graders) evolves as a function of the (...) number of models the children can produce. We proposed a theory of conditional reasoning development that hypothesises a developmental trend of three successive levels of interpretations underlain by one, two, and then three models, i.e. conjunctive, biconditional, and conditional respectively. Second, we aimed to show that these different levels correlate with working memory capacities: the higher the working memory span, the higher the number of models underlying the conditional interpretation. These two hypotheses were verified, supporting the mental models theory. The results are compared with the rival theory of mental logic. (shrink)

Future robots should have common sense about the world in order to handle the problems they will encounter. A large part of this commonsense knowledge must be naive physics knowledge, since carrying out even the simplest everyday chores requires familiarity with physics laws. But how should one start codifying this knowledge? What kind of skills should be elicited from the experts (each and every one of us)? This paper will attempt to provide some hints by studying the mental models (...) of force and motion. (shrink)

After experiments with various economic systems, we appear to have conceded, to misquote Winston Churchill that "free enterprise is the worst economic system, except all the others that have been tried." Affirming that conclusion, I shall argue that in today's expanding global economy, we need to revisit our mind-sets about corporate governance and leadership to fit what will be new kinds of free enterprise. The aim is to develop a values-based model for corporate governance in this age of globalization (...) that will be appropriate in a variety of challenging cultural and economic settings. I shall present an analysis of mental models from a social constructivist perspective. I shall then develop the notion of moral imagination as one way to revisit traditional mind-sets about values-based corporate governance and outline what I mean by systems thinking. I shall conclude with examples for modeling corporate governance in multi-cultural settings and draw tentative conclusions about globalization. (shrink)

An emerging topic in robot design and scholarly research is socially assistive robots for senior citizens. Compared to robots in other sectors, SARs can augment their assistive-utilitarian functions by offering social, emotional, and cognitive support to seniors. This study draws upon interviews with 45 senior citizens to understand this group’s expectations for human-robot interactions and their anticipated needs for robots. Our grounded theory analysis suggests that senior citizens expect robots to meet three types of needs: physical, informational, and interactional. Furthermore, (...) they seek assurances that they will have complete control over interactions with robots. Findings show that seniors’ mental models about robots are shaped by their recent experiences with advanced communications technologies and mediated representations of robots in popular culture. Findings are discussed in light of practical design considerations and two theoretical perspectives. (shrink)

An emerging topic in robot design and scholarly research is socially assistive robots for senior citizens. Compared to robots in other sectors, SARs can augment their assistive-utilitarian functions by offering social, emotional, and cognitive support to seniors. This study draws upon interviews with 45 senior citizens to understand this group’s expectations for human-robot interactions and their anticipated needs for robots. Our grounded theory analysis suggests that senior citizens expect robots to meet three types of needs: physical, informational, and interactional. Furthermore, (...) they seek assurances that they will have complete control over interactions with robots. Findings show that seniors’ mental models about robots are shaped by their recent experiences with advanced communications technologies and mediated representations of robots in popular culture. Findings are discussed in light of practical design considerations and two theoretical perspectives. (shrink)

An emerging topic in robot design and scholarly research is socially assistive robots for senior citizens. Compared to robots in other sectors, SARs can augment their assistive-utilitarian functions by offering social, emotional, and cognitive support to seniors. This study draws upon interviews with 45 senior citizens to understand this group’s expectations for human-robot interactions and their anticipated needs for robots. Our grounded theory analysis suggests that senior citizens expect robots to meet three types of needs: physical, informational, and interactional. Furthermore, (...) they seek assurances that they will have complete control over interactions with robots. Findings show that seniors’ mental models about robots are shaped by their recent experiences with advanced communications technologies and mediated representations of robots in popular culture. Findings are discussed in light of practical design considerations and two theoretical perspectives. (shrink)

Preschoolers naturally form mental representations that capture generic knowledge about object kinds. These have been considered to pose a special explanatory and learning challenge. We here argue for a new deductive model of them, where (i) the representations in question have a linguistic format from the start; (ii) they are inherently structurally simpler compared to reference to individuals or quantifications; and (iii) formed in communicative contexts because communication in humans is linked to language. In this model, specific (...) language‐related resources explain the scope and limits of the forms of knowledge obtained, illustrating how language and cognition develop in tandem. (shrink)

Mental model ascription – also called mindreading – is the process of inferring the mental states of others, which happens as a matter of course in social interactions. But although ubiquitous, mindreading is presumably a highly variable process: people mindread to different extents and with _different results._ We hypothesize that human mindreading ability relies on a large number of personal and contextual features: the inherent abilities of specific individuals, their current physical and mental states, their knowledge (...) of the domain of discourse, their familiarity with the interlocutor, the risks associated with an incorrect assessment of intent, and so on. This paper presents a theory of mindreading that models diverse artificial intelligent agents using an inventory of parameters and value sets that represent traits of humans and features of discourse contexts. Examples are drawn from Maryland Virtual Patient, a prototype system that will permit medical trainees to diagnose and treat cognitively modeled virtual patients with the optional assistance of a virtual tutor. Since real patients vary greatly with respect to physiological and cognitive features, so must a society of virtual patients. Modeling such variation is one of the goals of the overall OntoAgent program of research and development. (shrink)

In spite of the wide variety of approaches to ethics training it is still debatable which approach has the highest potential to enhance professionals’ integrity. The current effort assesses a novel curriculum that focuses on metacognitive reasoning strategies researchers use when making sense of day-to-day professional practices that have ethical implications. The evaluated trainings effectiveness was assessed by examining five key sensemaking processes, such as framing, emotion regulation, forecasting, self-reflection, and information integration that experts and novices apply in ethical decision-making. (...) Mental models of trained and untrained graduate students, as well as faculty, working in the field of physical sciences were compared using a think-aloud protocol 6 months following the ethics training. Evaluation and comparison of the mental models of participants provided further validation evidence for sensemaking training. Specifically, it was found that trained students applied metacognitive reasoning strategies learned during training in their ethical decision-making that resulted in complex mental models focused on the objective assessment of the situation. Mental models of faculty and untrained students were externally-driven with a heavy focus on autobiographical processes. The study shows that sensemaking training has a potential to induce shifts in researchers’ mental models by making them more cognitively complex via the use of metacognitive reasoning strategies. Furthermore, field experts may benefit from sensemaking training to improve their ethical decision-making framework in highly complex, novel, and ambiguous situations. (shrink)

Mental model ascription – also called mindreading – is the process of inferring the mental states of others, which happens as a matter of course in social interactions. But although ubiquitous, mindreading is presumably a highly variable process: people mindread to different extents and with different results. We hypothesize that human mindreading ability relies on a large number of personal and contextual features: the inherent abilities of specific individuals, their current physical and mental states, their knowledge (...) of the domain of discourse, their familiarity with the interlocutor, the risks associated with an incorrect assessment of intent, and so on. This paper presents a theory of mindreading that models diverse artificial intelligent agents using an inventory of parameters and value sets that represent traits of humans and features of discourse contexts. Examples are drawn from Maryland Virtual Patient, a prototype system that will permit medical trainees to diagnose and treat cognitively modeled virtual patients with the optional assistance of a virtual tutor. Since real patients vary greatly with respect to physiological and cognitive features, so must a society of virtual patients. Modeling such variation is one of the goals of the overall OntoAgent program of research and development. (shrink)

The most serious ethical challenge facing multinational corporations in the next century is their exportation of the mental model of Western-style capitalism. This model promises that industrialized free enterprise in a free trade global economy, where businesses and entrepreneurs can pursue their interests competitively without undue regulations or labor restrictions, will produce growth and well-being, i.e., economic good, in every country or community where this phenomenon is allowed to operate. This paper points to some limitations to this (...) model and illustrates how multinational corporations might meet this challenge. (shrink)

Knauff and Gazzo Castañeda (2022) object to using the term “new paradigm” to describe recent developments in the psychology of reasoning. This paper concedes that the Kuhnian term “paradigm” may be queried. What cannot is that the work subsumed under this heading is part of a new, progressive movement that spans the brain and cognitive sciences: Bayesian cognitive science. Sampling algorithms and Bayes nets used to explain biases in JDM can implement the Bayesian new paradigm approach belying any advantages of (...) mental models theory (MMT) at the algorithmic level. Moreover, this paper argues that new versions of MMT lack a computational level theory and questions the grounds for MMTs much-vaunted generality. The paper then examines common ground on the importance of small-scale models/simulations of the world and the importance of argumentation in the social domain rather than individual reasoning. Finally, the paper concludes that although there may be prospects for moving reasoning research forward in a more collective, collaborative manner, many disagreements remain to be resolved. (shrink)

The function of groups as information processors is increasingly being recognised in a number of theories of group cognition. A theme of many of these is an emphasis on sharing cognition. This paper extends current conceptualisations of groups by critiquing the focus on shared cognition and emphasising the distribution of cognition in groups. In particular, it develops an account of the distribution of one cognitive construct, mental models. Mental models have been chosen as a focus because they are (...) used in a number of theories of high level cognition from different areas of research such as cognitive science and human factors and so the implication of this development is wide reaching. This paper reviews the unconnected literatures on distributed cognition and mental models and integrates them in order to extend the theory of mental models to distributed cognitive systems such as groups. The distributed cognition literature is reviewed and the importance of considering the group as single cognitive system is adopted. A range of mental model theories are reviewed leading to the conclusion that they all have, in some form, the central feature of a mapping onto the cognitive system. Combining these two ideas, it is proposed that the model can be a mapping onto the whole group, if the information is distributed appropriately and the connections between parts of the model maintained through communication. This cognitive construct is referred to as a distributed mental model. Implications and applications of this theory are discussed. (shrink)

The relationship between mental models and ethical decision making, along with the mechanisms through which mental models affect EDM, are not well understood. Using the sensemaking approach to EDM, we empirically tested the relationship of mental models to EDM. Participants were asked to depict their mental models in response to an ethics case to reveal their understanding of the ethical dilemma, and then provide a response, along with a rationale, to a different ethical problem. Findings indicated (...) that complexity of respondents’ mental models was related to EDM, and that this relationship was mediated by sensemaking processes. The implications of these findings for improving integrity training in organizations, as well as ultimately understanding the role of mental models in EDM, are discussed. (shrink)

Johnson-Laird and Byrne present a theory of conditional inference based upon the manipulation of mental models. In the present paper, the theory is critically examined with regard to its ability to account for psychological data, principally with respect to the rate at which people draw the four basic inferences of modus ponens, denial of the antecedent, affirmation of the consequent and modus tollens. It is argued first that the theory is unclear in its definition and in particular with regard (...) to predictions of problem difficulty. Clarification and specification of principles are consequently provided here. Next, it is argued that there are a number of phenomena in the conditional reasoning literature for which the theory cannot account in its present form. Specifically, the relatively frequency of DA and AC inferences on affirmative conditionals is not as predicted by the theory, differences occur between inferences on if then and only if rules beyond the capacity of the theory to explain and there is no account of the “negative conclusion bias” observed when negated components are introduced into the rules. A number of revisions to the mental model theory of conditional reasoning are proposed in order to account for these findings. (shrink)

As there are contradictions in the digital technology: 1) a tool for professional growth and 2) a tool for imposing a prepared scenario of achieving success on the subject, ignoring the principle of environmental compliance, our study aims to substantiate and experimentally test the effectiveness of the model of realization of modern student’s mental experience. Moreover, the technology of programming as philosophizing in the BSL format is considered to be an element in the humanization of geeks culture in (...) the situation of supposed technological singularity. In accordance with the goal, we have created a regression-correlation design for the study of the influence of the predictor variable on the criterion variable. The exploratory methodology of our experimental study is determined by the content of bite sized-approbation of the author's model ‘Flipped Class’. Its conceptual idea is self-learning as creativity, which is realized in the didactics of performative action. The results of the tasks have revealed the relationships and differences in the implementation of indicators of students’ mental experience of joint e-Learning and BSL, which are visualized in correlation galaxies for future clustering. They have confirmed the leading idea of ​​our study: the disclosure of the resources inherent in human nature in the process of learning is the way for the relentless cognition of the sense of placement with a view to achieving dignity and making free choices in life. (shrink)

This article outlines a theory of naive probability. According to the theory, individuals who are unfamiliar with the probability calculus can infer the probabilities of events in an extensional way: They construct mental models of what is true in the various possibilities. Each model represents an equiprobable alternative unless individuals have beliefs to the contrary, in which case some models will have higher probabilities than others. The probability of an event depends on the proportion of models in which (...) it occurs. The theory predicts several phenomena of reasoning about absolute probabilities, including typical biases. It correctly predicts certain cognitive illusions in inferences about relative probabilities. It accommodates reasoning based on numerical premises, and it explains how naive reasoners can infer posterior probabilities without relying on Bayes's theorem. Finally, it dispels some common misconceptions of probabilistic reasoning. (shrink)

Scholars increasingly point toward schools as meaningful contexts in which to provide psychosocial care for refugee children. Collaborative mental health care in school forms a particular practice of school-based mental health care provision. Developed in Canada and inspired by systemic intervention approaches, collaborative mental health care in schools involves the formation of an interdisciplinary care network, in which mental health care providers and school partners collaborate with each other and the refugee family in a joint (...) assessment of child development and mental health, as well as joint intervention planning and provision. It aims to move away from an individual perspective on refugee children’s development, toward an engagement with refugee families’ perspectives on their migration histories, cultural background and social condition in shaping assessment and intervention, as such fostering refugee empowerment, equality, and participation in the host society. Relating to the first stage of van Yperen’s four-stage model for establishing evidence-based youth care, this article aims to engage in an initial exploration of the effectiveness of a developing school-based collaborative mental health care practice in Leuven, Belgium. First, we propose a detailed description, co-developed through reflection on case documents, written process reflections, intervision, an initial identification of intervention themes, and articulating interconnections with scholarly literature on transcultural and systemic refugee trauma care. Second, we engage in an in-depth exploration of processes and working mechanisms, obtained through co-constructed clinical case analysis of case work collected through our practice in schools in Leuven, Belgium. Our descriptive analysis indicates the role of central processes that may operate as working mechanisms in school-based collaborative mental health care and points to how collaborative mental health care may mobilize the school and the family-school interaction as a vehicle of restoring safety and stability in the aftermath of cumulative traumatization. Our analysis furthermore forms an important starting point for reflections on future research opportunities, and central clinical dynamics touching upon power disparities and low-threshold access to mental health care for refugee families. (shrink)

"Cognitive psychology," "cognitive neuroscience," and "philosophy of mind" are names for three very different scientific fields, but they label aspects of the same scientific goal: to understand the nature of mental phenomena. Today, the three disciplines strongly overlap under the roof of the cognitive sciences. The book's purpose is to present views from the different disciplines on one of the central theories in cognitive science: the theory of mental models. Cognitive psychologists report their research on the representation and (...) processing of mental models in human memory. Cognitive neuroscientists demonstrate how the brain processes visual and spatial mental models and which neural processes underlie visual and spatial thinking. Philosophers report their ideas about the role of mental models in relation to perception, emotion, representation, and intentionality. The single articles have different and mutually complementing goals: to introduce new empirical methods and approaches, to report new experimental results, and to locate competing approaches for their interpretation in the cross-disciplinary debate. The book is strongly interdisciplinary in character. It is especially addressed to researchers in any field related to mental models theory as both a reference book and an overview of present research on the topic in other disciplines. However, it is also an ideal reader for a specialized graduate course. (shrink)

Natura non facit saltum (Nature does not make leaps) was the lovely aphorism on which Darwin based his work on evolution. It applies as much to the formation of mental representations as to the formation of species, and therein lies our major disagreement with the SOC model proposed by Perruchet & Vinter.

Good explanations are not only true or probably true, but are also relevant to a causal question. Current models of causal explanation either only address the question of the truth of an explanation, or do not distinguish the probability of an explanation from its relevance. The tasks of scenario construction and conversational explanation are distinguished, which in turn shows how scenarios can interact with conversational principles to determine the truth and relevance of explanations. The proposed model distinguishes causal discounting (...) from causal backgrounding , and makes predictions concerning the differential effects of contextual information about alternative explanations on: (a) the kind of mental models constructed; (b) belief revision about probable cause; and (c) the perceived quality of a focal explanation. Four experiments are reported that test these predictions. The significance of the notion of explanatory relevance for research on causal explanation is then discussed. (shrink)

We examine the role of working memory's central executive in the mental model explanation of propositional reasoning by using two working memory measures: the classical “reading span” test by Daneman and Carpenter (1980) and a new measure. This new “reasoning span” measure requires individuals to solve very simple anaphora problems, and store and remember the word solution in a growing series of inferential problems. We present one experiment in which we check the involvement of the central executive in (...) conditional and disjunctive inference tasks and compare predictions of the new reasoning span test with those of the classical reading span test. The results of the experiment confirm that reasoning responses, which according to mental model theory require high cognitive work, are predicted by working memory measures. Results also show that some reasoning responses are probably obtained by means of superficial biases or strategies that do not load working memory. The reasoning span test, which involves the central executive to a greater degree, predicts reasoning performance better than the reading span test. The significance and possibilities of the new measure in studying reasoning are discussed. (shrink)

Most instantiations of the inference ‘y; so if x, y’ seem intuitively odd, a phenomenon known as one of the paradoxes of the material conditional. A common explanation of the oddity, endorsed by Mental Model theory, is based on the intuition that the conclusion of the inference throws away semantic information. We build on this explanation to identify two joint conditions under which the inference becomes acceptable: (a) the truth of x has bearings on the relevance of asserting (...) y; and (b) the speaker can reasonably be expected not to be in a position to assume that x is false. We show that this dual pragmatic criterion makes accurate predictions, and contrast it with the criterion defined by the mental model theory of conditionals, which we show to be inadequate. (shrink)

Researchers currently working on relational reasoning typically argue that mental model theory (MMT) is a better account than the inference rule approach (IRA). They predict and observe that determinate (or one-model) problems are easier than indeterminate (or two-model) problems, whereas according to them, IRA should lead to the opposite prediction. However, the predictions attributed to IRA are based on a mistaken argument. The IRA is generally presented in such a way that inference rules only deal with (...) determinate relations and not with indeterminate ones. However, (a) there is no reason to presuppose that a rule-based procedure could not deal with indeterminate relations, and (b) applying a rule-based procedure to indeterminate relations should result in greater difficulty. Hence, none of the recent articles devoted to relational reasoning currently presents a conclusive case for discarding IRA by using the well-known determinate vs indeterminate problems comparison. (shrink)