The objective of this research is to interaction between perception in job characteristic model, psychological well - being, and performance. Job characteristic model are explained by skill variety, task identity, task significan, autonomy, and feedback about the job. Psychological well - being is explained by autonomy, environment mastery, good relationship with others, self acceptance, and personal growth. Performance measured by how employee done their task according their responsibility. Subject of this research are employees of PT. X. The result (...) of this study shows that all of the variables have positive interaction between each other.  . (shrink)

The studies of mysticism have traditionally emphasized a common core centered around experiences of ego dissolution and unity. However, this focus on a central set of experiences tends to downplay the non-central aspects, resulting in a limited understanding that may not encompass many other types of extraordinary experiences. This article proposes a layered hierarchy model of mysticism, which reverts to the fundamental definition of mysticism and resonates with the Jamesian characteristics of mysticism as noetic and ineffable. Consequently, an extended definition (...) is put forth to characterize mysticism as the transcendence of perceived reality and the transformation of the perceiver. Within this proposed model, four layers of mysticism are delineated. Monistic Mysticism is characterized by the perception of oneness in all existence and the dissolution of selfhood, exemplified by perennialist mystical unity. Nondualistic Mysticism involves the recognition of a higher reality beyond the mundane world and the subjugation of the ego to an idealized divine, exemplified by religious experiences. Dualistic Mysticism encompasses a world of spirits in contrast to human reality, where the self detaches from and interacts with spiritual beings, exemplified by psychedelic experiences and spiritism. Pluralistic Mysticism entails numerous coexisting realities, and the self is understood to have many facets and boundless potentials, exemplified by psychic phenomena and non-physicalism. This expanded framework broadens the scope of mysticism and makes it a versatile tool for studying a wide range of human experiences under a unified framework. (shrink)

I argue that everyday folk-psychological skill might best be explained in terms of the deployment of something like a model, in a specific sense drawn from recent philosophy of science. Theoretical models in this sense do not make definite commitments about the systems they are used to understand; they are employed with a particular kind of flexibility. This analysis is used to dissolve the eliminativism debate of the 1980s, and to transform a number of other questions about the status (...) and role of folk psychology. (shrink)

What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena--including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the (...) mind be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning? (shrink)

Mechanistic explanation has an impressive track record of advancing our understanding of complex, hierarchically organized physical systems, particularly biological and neural systems. But not every complex system can be understood mechanistically. Psychological capacities are often understood by providing cognitive models of the systems that underlie them. I argue that these models, while superficially similar to mechanistic models, in fact have a substantially more complex relation to the real underlying system. They are typically constructed using a range of techniques for (...) abstracting the functional properties of the system, which may not coincide with its mechanistic organization. I describe these techniques and show that despite being non-mechanistic, these cognitive models can satisfy the normative constraints on good explanations. (shrink)

Choice modellers are frequently criticized for failing to provide accurate representations of the neuro-psychological substrates of decisions. Several authors maintain that recent neuro-psychological findings enable choice modellers to overcome this alleged shortcoming. Some advocate a realistic interpretation of neuro-psychological models of choice, according to which these models posit sub-personal entities with specific neuro-psychological counterparts and characterize those entities accurately. In this article, I articulate and defend three complementary arguments to demonstrate that, contrary to emerging consensus, even (...) the best available neuro-psychological models of choice cannot be justifiably given this realistic interpretation. Moreover, I explicate what challenges will continue to hamper neuro-psychological modellers’ attempts to substantiate a realistic interpretation of their models. In doing so, I draw on the literature on scientific modelling to advance the ongoing philosophical discussion concerning the ontological status of the sub-personal entities posited in distinct decision sciences, the resemblance relations that supposedly connect choice models and the neuro-psychological substrates of decisions, and what conditions these models must satisfy to be regarded as realistic representations of their target systems. (shrink)

Models of psychological time / Richard A. Block -- Implicit and explicit representations of time / John A. Michon -- The evasive art of subjective time...

University Abstract Philosophers have sought to improve upon the logical empiricists’ model of scientific reduction. While opportunities for integration between the cognitive and the neural sciences have increased, most philosophers, appealing to the multiple realizability of mental states and the irreducibility of consciousness, object to psychoneural reduction. New Wave reductionists offer a continuum of comparative goodness of intertheoretic mapping for assessing reductions. Their insistence on a unified view of intertheoretic relations obscures epistemically significant crossscientific relations and engenders dismissive conclusions about (...) psychology. Richer, more sensitive accounts of explanatory pluralism and mechanistic explanation in science advocate multi-level approaches in cross-scientific settings and criticize the distance of the standard philosophical objections from working scientists’ practices and discoveries. The Heuristic Identity Theory, a new, scientifically informed version of the psycho-physical identity theory, incorporates these insights, showing how multiple realizability is an argument for (not against) identities in science and why, therefore, consciousness is not irreducible. (shrink)

Over the last decade, fully distributed models have become dominant in connectionist psychological modelling, whereas the virtues of localist models have been underestimated. This target article illustrates some of the benefits of localist modelling. Localist models are characterized by the presence of localist representations rather than the absence of distributed representations. A generalized localist model is proposed that exhibits many of the properties of fully distributed models. It can be applied to a number of problems that are difficult for (...) fully distributed models, and its applicability can be extended through comparisons with a number of classic mathematical models of behaviour. There are reasons why localist models have been underused, though these often misconstrue the localist position. In particular, many conclusions about connectionist representation, based on neuroscientific observation, can be called into question. There are still some problems inherent in the application of fully distributed systems and some inadequacies in proposed solutions to these problems. In the domain of psychological modelling, localist modelling is to be preferred. Key Words: choice; competition; connectionist modelling; consolidation; distributed; localist; neural networks; reaction-time. (shrink)

In this article, I argue that intentional psychology (i.e. the interpretation of human behaviour in terms of intentional states and propositional attitudes) plays an essential role in the sciences of the mind. However, this role is not one of identifying scientifically respectable states of the world. Rather, I argue that intentional psychology acts as a type of phenomenological model, as opposed to a mechanistic one. I demonstrate that, like other phenomenological models in science, intentional psychology is a methodological tool with (...) its own benefits and insights that complements our mechanistic understanding of systems. As a result, intentional psychology's distinctive scientific benefit is its ability to model systems in unique, non-mechanistic, ways. This allows us to generate predictions that we cannot otherwise generate using the mechanistic models of neuroscience and cognitive psychology necessary for various scientific tasks. (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)

ArgumentToday's models of temporal discounting are the result of multiple interdisciplinary exchanges between psychology and economics. Although these exchanges did not result in an integrated discipline, they had important effects on all disciplines involved. The paper describes these exchanges from the 1930s onwards, focusing on two episodes in particular: an attempted synthesis by psychiatrist George Ainslie and others in the 1970s; and the attempted application of this new discounting model by a generation of economists and psychologists in the 1980s, which (...) ultimately ended in thediversity of measurements disappointment. I draw four main conclusions. First, multiple notions of temporal discounting must be conceptually distinguished. Second, behavioral economics is not an integration or unification of psychology and economics. Third, the analysis identifies some central disciplinary markers that distinguish modeling strategies in economics and psychology. Finally, it offers a case of interdisciplinary success that does not fit the currently dominant account of interdisciplinarity as integration. (shrink)

The aim of this paper is to show that Curry’s recent defence of the interpretivist approach to beliefs is unsuccessful. Curry tries to argue that his version of interpretivism, which is based on the model-theoretic approach to folk-psychological attributions, is well-suited to resisting the epistemological argument that is directed at interpretivism. In this paper, I argue that even if Curry’s defence is successful in this case, his theory does not have enough resources to solve the metaphysical problems of interpretivism. (...) In particular, I argue that the model-theoretic version of interpretivism that Curry espouses does not explain the claim that beliefs are constituted by the process of attribution, which is central to the interpretivist project. In the final parts of the paper, I discuss the issue of the relation between interpretivism and other forms of the broadly superficial/deflationary approach to beliefs, especially dispositionalism. I contend that if one wants to adopt a superficial/deflationary approach, it is best not to adopt interpretivism as it is an unnecessarily complex and problematic version of this broad view. (shrink)

Proponents of evolutionary psychology take the existence of humanuniversals to constitute decisive evidence in favor of their view. Ifthe same social norms are found in culture after culture, we have goodreason to believe that they are innate, they argue. In this paper Ipropose an alternative explanation for the existence of humanuniversals, which does not depend on them being the product of inbuiltpsychological adaptations. Following the work of Brian Skyrms, I suggestthat if a particular convention possesses even a very small advantageover (...) competitors, whatever the reason for that advantage, we shouldexpect it to become the norm almost everywhere. Tiny advantages aretranslated into very large basins of attraction, in the language of gametheory. If this is so, universal norms are not evidence for innatepsychological adaptations at all. Having shown that the existence ofuniversals is consistent with the so-called Standard Social ScienceModel, I turn to a consideration of the evidence, to show that thisstyle of explanation is preferable to the evolutionary explanation, atleast with regard to patterns of gender inequality. (shrink)

Humans and animals make inferences about the world under limited time and knowledge. In contrast, many models of rational inference treat the mind as a Laplacean Demon, equipped with unlimited time, knowledge, and computational might. Following H. Simon's notion of satisficing, the authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making. These fast and frugal algorithms violate fundamental tenets of classical rationality: They neither look up nor integrate all information. By computer simulation, (...) the authors held a competition between the satisficing "Take The Best" algorithm and various "rational" inference procedures. The Take The Best algorithm matched or outperformed all competitors in inferential speed and accuracy. This result is an existence proof that cognitive mechanisms capable of successful performance in the real world do not need to satisfy the classical norms of rational inference. (shrink)

In recent philosophical and (neuro)psychological discussions of phenomena such as motivated forgetting, memory inhibition, self-deception, and implicit bias, various authors have suggested that repression might be a useful notion to make sense of these phenomena, or that these phenomena indeed provide evidence for repression. However, surprisingly, these claims usually do not rely on any explicit model of repression. Consequently, it remains unclear whether invoking repression in these discussions is justified. In this paper, I propose a psychological “how-possibly” model (...) that can serve as a basis for scientific research that I call the hybrid model of repression. This model combines the advantages while avoiding the problems of two types of models of repression—the higher-order model and the separation model—that have been discussed and defended by different authors and that both have their origin in Freud. This “how-possibly” model may then set the stage for further empirical research, which can form the basis for a “how-actually” model in the longer run. (shrink)

Mathematics and logic are indispensable in science, yet how they are deployed and why they are so effective, especially in the natural sciences, is poorly understood. In this paper, I focus on the how by analysing Jean Piaget’s application of mathematics to the empirical content of psychological experiment; however, I do not lose sight of the application’s wider implications on the why. In a case study, I set out how Piaget drew on the stock of mathematical structures to model (...) psychological content, namely, the operations of thought involved in reasoning. In particular, I show how operations of thought form structured wholes that initially resisted modelling by either lattices or groups but could be modelled adequately by modifications of these mathematical structures. Piaget coined the term ‘grouping’ for the modified structure, and I conclude that it represents a non-canonical application of mathematics to the empirical content of experimental psychology. I also touch on the role external factors played in Piaget’s development of the grouping. According to the genetic epistemology conceived by Piaget, the origin of intelligence lies in the biological organism and develops in stages over time, and, via the grouping, Piaget established a genetic relationship between two stages of reasoning. I show how this relationship explains why mathematics and logic fit the psychological content of reasoning whilst simultaneously making their successful deployment in the natural sciences more mysterious. Finally, I turn to the explanation Piaget envisaged for the unreasonable effectiveness of mathematics in the natural sciences and consider some consequences for naturalism and Pythagoreanism. (shrink)

David Danks. Psychological Theories of Categorizations as Probabilistic Models.

Evolutionary psychology and the selectionist theories of neural development are usually regarded as two unrelated theories addressing two logically distinct questions. The focus of evolutionary psychology is the phylogeny of the human mind, whereas the selectionist theories of neural development analyse the ontogeny of the mind. This paper will endeavour to combine these two approaches in the explanation of the human mind. Doing so might help in overcoming some of the criticisms of both theories. The first part of the paper (...) mentions three standard objections to evolutionary psychology and then outlines three philosophical problems evolutionary psychology has to offer a solution to. The second part will try to show that an approach combining evolutionary psychology and the selectionist theory of neural development might overcome some of these objections. (shrink)

Aspects of the history of behavioural science are reviewed, pointing to its fragmented and faction-ridden nature. The emergence of evolutionary psychology (EP) is viewed in this context. With the help of a dual-layered model of behavioural control, the case is made for a more integrative perspective towards EP. The model's application to both behaviour and complex human information processing is described. Similarities in their control are noted. It is suggested that one layer of control (‘on-line’) corresponds to the encapsulated modules (...) of EP whereas the off-line controls provide the plasticity and flexibility suggested by its critics. (shrink)

In this paper, I argue for a modified version of what Devitt calls the Representational Thesis. According to RT, syntactic rules or principles are psychologically real, in the sense that they are represented in the mind/brain of every linguistically competent speaker/hearer. I present a range of behavioral and neurophysiological evidence for the claim that the human sentence processing mechanism constructs mental representations of the syntactic properties of linguistic stimuli. I then survey a range of psychologically plausible computational models of comprehension (...) and show that they are all committed to RT. I go on to sketch a framework for thinking about the nature of the representations involved in sentence processing. My claim is that these are best characterized not as propositional attitudes but, rather, as subpersonal states whose representational properties are determined by their functional role. Finally, I distinguish between explicit and implicit representations and argue that the latter can be drawn on as data by the algorithms that constitute our sentence processing routines. I conclude that skepticism concerning the psychological reality of grammars cannot be sustained. (shrink)

Ownership is universal and ubiquitous in human societies, yet the psychology underpinning ownership intuitions is generally not described in a coherent and computationally tractable manner. Ownership intuitions are commonly assumed to derive from culturally transmitted social norms, or from a mentally represented implicit theory. While the social norms account is entirelyad hoc, the mental theory requires prior assumptions about possession and ownership that must be explained. Here I propose such an explanation, arguing that the intuitions result from the interaction of (...) two cognitive systems. One of these handles competitive interactions for the possession of resources observed in many species including humans. The other handles mutually beneficial cooperation between agents, as observed in communal sharing, collective action and trade. Together, these systems attend to specific cues in the environment, and produce definite intuitions such as “this is hers,” “that is not mine.” This computational model provides an explanation for ownership intuitions, not just in straightforward cases of property, but also in disputed ownership (squatters, indigenous rights), historical changes (abolition of slavery), as well as apparently marginal cases, such as the questions, whether people own their seats on the bus, or their places in a queue, and how people understand “cultural appropriation” and slavery. In contrast to some previous theories, the model is empirically testable and free ofad hocstipulations. (shrink)

The work of Gregory Bateson offers a metaphysical basis for a “process psychology,” that is, a view of psychological practice and research guided by an ontology of becoming—identifying change, difference, and relationship as the basic elements of a foundational metaphysics. This article explores the relevance of Bateson's recursive epistemology, his re-conception of the Great Chain of Being, a first-principles approach to defining the nature of mind, and understandings of interaction and difference, pattern and symmetry, interpretation and context. Bateson's philosophical (...) contributions will be drawn into relationship with Wittgenstein's philosophy of language as use, Melnyk's theory of causal levels of explanation, Korzybski's account of map and territory, the rejection of the heuristic rigidity of substantialist ontologies, and a cybernetics communication science-informed approach to contextual bi-directionality of causality. We thereby arrive at an understanding of Bateson's process psychology that, given its ecological-systemic nature, is explanatorily applicable across the mind sciences. This process psychology equips us to answer the question: What is mind? Not by explanatory appeal to substantial entities contained within mind, but instead by recourse to the contextually relevant patterns for understanding mind to a particular purpose. We have thereby attended to the gulf between heuristics and fundamentals, between psychological models and an onto-epistemic account of reality. Insufficient attention has been given to characterising the vital nature of Bateson's philosophical oeuvre to psychological practice. This article draws out Bateson's relevance to establishing foundational principles for a process psychology capable of reinvigorating psychological thought. (shrink)

The prominence of Bayesian modeling of cognition has increased recently largely because of mathematical advances in specifying and deriving predictions from complex probabilistic models. Much of this research aims to demonstrate that cognitive behavior can be explained from rational principles alone, without recourse to psychological or neurological processes and representations. We note commonalities between this rational approach and other movements in psychology – namely, Behaviorism and evolutionary psychology – that set aside mechanistic explanations or make use of optimality assumptions. (...) Through these comparisons, we identify a number of challenges that limit the rational program's potential contribution to psychological theory. Specifically, rational Bayesian models are significantly unconstrained, both because they are uninformed by a wide range of process-level data and because their assumptions about the environment are generally not grounded in empirical measurement. The psychological implications of most Bayesian models are also unclear. Bayesian inference itself is conceptually trivial, but strong assumptions are often embedded in the hypothesis sets and the approximation algorithms used to derive model predictions, without a clear delineation between psychological commitments and implementational details. Comparing multiple Bayesian models of the same task is rare, as is the realization that many Bayesian models recapitulate existing (mechanistic level) theories. Despite the expressive power of current Bayesian models, we argue they must be developed in conjunction with mechanistic considerations to offer substantive explanations of cognition. We lay out several means for such an integration, which take into account the representations on which Bayesian inference operates, as well as the algorithms and heuristics that carry it out. We argue this unification will better facilitate lasting contributions to psychological theory, avoiding the pitfalls that have plagued previous theoretical movements. (shrink)

Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting (...) brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data. (shrink)

Zaller's model of public-opinion formation portrays the average citizen as an automaton who responds unthinkingly to elite cues. That is, once people have received information from political elites, they tend to abide by whatever their respective cue-givers dictate, since rejecting information is more cognitively costly than simply accepting it. Empirical research in psychology on priming supports this view of the citizen as a passive receiver of information. For example, people are likely to be unconsciously influenced by subtle cues and they (...) tend to base their opinions on the accessibility of information in memory. However, some citizens, under certain conditions, may be ?active processors? of information: actively interpreting it, elaborating on its implications, and negotiating its meaning. Whether or not Zaller's model is an accurate representation of the process of public-opinion formation depends substantially upon the inclusiveness of the researcher's views about what constitutes public opinion and how to study its determinants. (shrink)

Background: Pediatric COVID-19 vaccine hesitancy hinders the establishment of immune barrier in children. Psychological flexibility may be a key contributing factor to pediatric COVID-19 vaccine hesitancy, and self-efficacy and coping style play an important role in the relationship, but the underlying mechanisms remain unknown.Methods: A cross-sectional study was conducted on parents from June 2021 to July 2021. A total of 382 parents were recruited for an online-investigation. Serial mediation models were used to examine whether self-efficacy and coping style mediated (...) in the psychological flexibility-pediatric COVID-19 vaccine hesitancy linkage.Result: Psychological flexibility was negatively related to pediatric COVID-19 vaccine hesitancy. Coping styles rather than self-efficacy played a mediating role independently. Serial mediation analyses indicated that self-efficacy and coping style co-play a serial mediating role in the association of psychological flexibility and pediatric COVID-19 vaccine hesitancy.Conclusion: The present study showed that high psychological flexibility, high self-efficacy, and positive coping style were conducive to the lower pediatric COVID-19 vaccine hesitancy. (shrink)

Proper linear models are those in which predictor variables are given weights such that the resulting linear composite optimally predicts some criterion of interest; examples of proper linear models are standard regression analysis, discriminant function analysis, and ridge regression analysis. Research summarized in P. Meehl's book on clinical vs statistical prediction and research stimulated in part by that book indicate that when a numerical criterion variable is to be predicted from numerical predictor variables, proper linear models outperform clinical intuition. Improper (...) linear models are those in which the weights of the predictor variables are obtained by some nonoptimal method. The present article presents evidence that even such improper linear models are superior to clinical intuition when predicting a numerical criterion from numerical predictors. In fact, unit weighting is quite robust for making such predictions. The application of unit weights to decide what bullet the Denver Police Department should use is described; some technical, psychological, and ethical resistances to using linear models in making social decisions are considered; and arguments that could weaken these resistances are presented. (shrink)

The objective of this paper is to characterize the rich interplay between automatic and cognitive control processes that we propose is the hallmark of skill, in contrast to habit, and what accounts for its flexibility. We argue that this interplay isn't entirely hierarchical and static, but rather heterarchical and dynamic. We further argue that it crucially depends on the acquisition of detailed and well-structured action representations and internal models, as well as the concomitant development of metacontrol processes that can be (...) used to shape and balance it. (shrink)

This article presents six ideas about the construction of emotion: (a) Emotions are more readily distinguished by the situations they signify than by patterns of bodily responses; (b) emotions emerge from, rather than cause, emotional thoughts, feelings, and expressions; (c) the impact of emotions is constrained by the nature of the situations they represent; (d) in the OCC account (the model proposed by Ortony, Clore, and Collins in 1988), appraisals are psychological aspects of situations that distinguish one emotion from (...) another, rather than triggers that elicit emotions; (e) analyses of the affective lexicon indicate that emotion words refer to internal mental states focused on affect; (f) the modularity of emotion, long sought in biology and behavior, exists as mental schemas for interpreting human experience in story, song, drama, and conversation. (shrink)

Creating agents that proficiently interact with people is critical for many applications. Towards creating these agents, models are needed that effectively predict people's decisions in a variety of problems. To date, two approaches have been suggested to generally describe people's decision behavior. One approach creates a-priori predictions about people's behavior, either based on theoretical rational behavior or based on psychological models, including bounded rationality. A second type of approach focuses on creating models based exclusively on observations of people's behavior. (...) At the forefront of these types of methods are various machine learning algorithms. This paper explores how these two approaches can be compared and combined in different types of domains. In relatively simple domains, both psychological models and machine learning yield clear prediction models with nearly identical results. In more complex domains, the exact action predicted by psychological models is not even clear, and machine learning models are even less accurate. Nonetheless, we present a novel approach of creating hybrid methods that incorporate features from psychological models in conjunction with machine learning in order to create significantly improved models for predicting people's decisions. To demonstrate these claims, we present an overview of previous and new results, taken from representative domains ranging from a relatively simple optimization problem and complex domains such as negotiation and coordination without communication. (shrink)

Loneliness is often described as an experience that is about the absence of other people. But loneliness also has an important self-directed aspect: it is oneself one experiences as lonely. I begin by taking it that what the lonely person experiences as absent are not simply other people but rather certain kinds of social relationships with them. Loneliness then involves a disappointed self-relation, a form of estrangement from oneself. I substantiate this view by appeal to psychological model theory. Social (...) agents operate with triadic models of their environments that they themselves, together with the other person and the environment, help constitute. Social models are formed on the basis of intersubjective interaction and enable the social agent to contribute to these interactions. Conceptually more sophisticated versions of social models are at play in the conduct of complex social relationships like friendships or partnerships. Participants in these relationships regulate their social activities by applying the model to concrete situations and then acting so as to adjust the social situation to the model they entertain of it. The self thus features twice in the social agent’s experience, as a participant in the interaction and as an observing and regulating perceiver. Loneliness is the result of one way in which social reality can fail to be in tune with the model the person has of it. It involves a discrepancy between the model of her social life, including her own role in it, and how she perceives that social life to be. (shrink)

That the rationality of individual people is ‘bounded’ – that is, finite in scope and representational reach, and constrained by the opportunity cost of time – cannot reasonably be controversial as an empirical matter. In this context, the paper addresses the question as to why, if economics is an empirical science, economists introduce bounds on the rationality of agents in their models only grudgingly and partially. The answer defended in the paper is that most economists are interested primarily in markets (...) and only secondarily in the dynamics of individual decisions – specifically, they are interested in these dynamics mainly insofar as they might systematically influence the most useful approaches to modeling interesting markets. In market contexts, bounds on rationality are typically generated by institutional and informational properties specific to the market in question, which arise and are sustained by structural dynamics that do not originate in or reduce to individuals' decisions or psychologic.. (shrink)

Elqayam & Evans (E&E) drive a wedge between Bayesianism and instrumental rationality that most decision scientists will not recognize. Their analogy from linguistics to judgment and decision making is inapt. Normative models remain extremely useful in the progressive research programs of the judgment and decision making field.

What political, economic, religious, and emotional factors are involved in a person's decision to kill civilians and military personnel through the sacrifice of his or her own life? Data for this research were secondary analyses of interviews with Islamic martyrs, as well as their leaders’ speeches. This investigation into the cultural-psychological explanations for Islamic martyrdom leads to a model explaining a person's decision to carry out the mission as resulting from a combination of four factors: the historical-cultural context, group (...) processes, immediate and anticipated rewards, and mechanisms to eradicate possible doubts and guilt regarding this decision. Compared to existing models, this model is more integrative and focused on the psychological processes involved. (shrink)

This article takes off from Johan van Benthem’s ruminations on the interface between logic and cognitive science in his position paper “Logic and reasoning: Do the facts matter?”. When trying to answer Van Benthem’s question whether logic can be fruitfully combined with psychological experiments, this article focuses on a specific domain of reasoning, namely higher-order social cognition, including attributions such as “Bob knows that Alice knows that he wrote a novel under pseudonym”. For intelligent interaction, it is important that (...) the participants recursively model the mental states of other agents. Otherwise, an international negotiation may fail, even when it has potential for a win-win solution, and in a time-critical rescue mission, a software agent may depend on a teammate’s action that never materializes. First a survey is presented of past and current research on higher-order social cognition, from the various viewpoints of logic, artificial intelligence, and psychology. Do people actually reason about each other’s knowledge in the way proscribed by epistemic logic? And if not, how can logic and cognitive science productively work together to construct more realistic models of human reasoning about other minds? The paper ends with a delineation of possible avenues for future research, aiming to provide a better understanding of higher-order social reasoning. The methodology is based on a combination of experimental research, logic, computational cognitive models, and agent-based evolutionary models. (shrink)

The paper focuses on exploring sources and aims of evolutionary psychology, on how its representatives devlope their own approaches in opposition to the Standard social science model. Evolutionary psychology is in favor of functionally specia_lized and/or domain-specific mechanisms in the architecture of the human mind as it evolved in the course of evolution. Such evolution is the point emphasized by evolutionary psychology. Attention is also given to the implications the domain-specific architecture might have for culture. In the final section the (...) author outlines his own standpoint concerning evolutionary psychology, attempting to temper the antagonism between it and the Standard social science model. (shrink)

To some, Rene Girard is best known for his views on sacred myth and ritual. To others, he is the eminent structuralist critic who offers challenging readings of major literary works. Still others know him for his analyses of the Bible. Central to all aspects of Girard's work is his theory of mimesis, a basic hypothesis about the structures of human motivation, Yet nowhere in his writings does Girard offer a systematic presentation of the mimetic theory. In fact, key terminology (...) shifts from work to work, resulting in considerable ambiguity in both basic concepts and explanatory claims,In Models of Desire Paisley Livingston provides the first rigorous critical reconstruction of Girard's theory of mimesis. Drawing a careful distinction between the theory itself and Girard's often ambitious claims about it, Livingston provides a systematic presentation of Girard's ideas about the role of imitation in human motivation. He surveys responses to Girard's work and compares his theory of mimetic desire with recent work in cognitive psychology and philosophy. The result is a salient theoretical alternative to the false choice--between psychoanalysis and anti-psychological doctrines--that currently dominates literary theory. (shrink)

Several authors have recently questioned whether dehumanization is a psychological prerequisite of mass violence. This paper argues that the significance of dehumanization in the context of National Socialism can be understood only if its ideological dimension is taken into account. The author concentrates on Alfred Rosenberg’s racist doctrine and shows that Nazi ideology can be read as a political anthropology that grounds both the belief in the German privilege and the dehumanization of the Jews. This anthropological framework combines biological, (...) cultural and metaphysical aspects. Therefore, it cannot be reduced to biologism. This new reading of Nazi ideology supports three general conclusions: First, the author reveals a complex strategy of dehumanization which is not considered in the current psychological debate. Second, the analysis of the ideological mechanism suggests a model of dehumanization that is more plausible than other psychological models. Third, the author provides evidence that this kind of dehumanization had psychological consequences and hence was an important feature of Nazi reality. (shrink)

This article takes off from Johan van Benthem’s ruminations on the interface between logic and cognitive science in his position paper “Logic and reasoning: Do the facts matter?”. When trying to answer Van Benthem’s question whether logic can be fruitfully combined with psychological experiments, this article focuses on a specific domain of reasoning, namely higher-order social cognition, including attributions such as “Bob knows that Alice knows that he wrote a novel under pseudonym”. For intelligent interaction, it is important that (...) the participants recursively model the mental states of other agents. Otherwise, an international negotiation may fail, even when it has potential for a win-win solution, and in a time-critical rescue mission, a software agent may depend on a teammate’s action that never materializes. First a survey is presented of past and current research on higher-order social cognition, from the various viewpoints of logic, artificial intelligence, and psychology. Do people actually reason about each other’s knowledge in the way proscribed by epistemic logic? And if not, how can logic and cognitive science productively work together to construct more realistic models of human reasoning about other minds? The paper ends with a delineation of possible avenues for future research, aiming to provide a better understanding of higher-order social reasoning. The methodology is based on a combination of experimental research, logic, computational cognitive models, and agent-based evolutionary models. Keywords Epistemic logic - Cognitive science - Intelligent interaction - Cognitive modeling. (shrink)

A growing body of research has explored well-being in diverse cultural contexts, and indicates that the definition and perception of well-being vary according to cultural context. Little is known, however, about whether intercultural differences in China (i.e., Tibetan and Han) lead to different perceptions of well-being and how social contexts and personal characteristics are associated with well-being in Tibetan and Han emerging adults. Using a self-determination framework, the current study examines the relationship between parental autonomy support (PAS) and psychological (...) well-being (PWB) in Tibetan and Han emerging adults in China. Guided by implicit theory and self-regulatory theory, we propose a serial multiple mediation model of growth mindset and grit in the association between PAS and PWB. Propensity score matching was used to balance the two ethnic groups in terms of age, gender, socioeconomic status (SES), with a ratio of one to two. Finally, 59 Tibetan (71.2% girls) and 118 Han (69.5% girls) emerging adults aged from 18 to 25 years were included in the current study, and completed an online questionnaire survey. Findings suggest that (a) Tibetan emerging adults perceived higher levels of PWB than their peers from the Han ethnic group; (b) a serial multiple mediation model for the association between PAS and PWB was supported in Han emerging adults; (c) the indirect effects between PAS and PWB varied between Tibetan and Han emerging adults. Our findings suggest that PAS and grit contribute to PWB of emerging adults in both cultural contexts, whereas growth mindset may be beneficial for Han emerging adults only. (shrink)

The phenomenon of consciousness has always been a central question for philosophers and scientists. Emerging in the past decade are new approaches to the understanding of consciousness in a scientific light. This book presents a series of essays by leading thinkers giving an account of the current ideas prevalent in the scientific study of consciousness. The value of the book lies in the discussion of this interesting though complex subject from different points of view ranging from physics, computer science to (...) the cognitive sciences. Reviews of controversial ideas related to the philosophy of mind from western and eastern sources including classical Indian first person methodologies provide a breadth of coverage that has seldom been attempted in a book before. Additionally, chapters relating to the new approaches in computational modelling of higher order cognitive function and consciousness are included. The book is of great value for established as well as young researchers from a wide cross-section of interdisciplinary scientific backgrounds, aiming to pursue research in this field, as well as an informed public. * Presents the latest developments in the scientific study of consciousness * Critically reviews different theoretical and philosophical explanations related to the subject * An important book for both students and researchers in designing research projects on consciousness. (shrink)