Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push (...) the notion of rationality, often used in defining computational-level models, deeper toward the algorithmic level. We offer a simple recipe for reverse-engineering the mind's cognitive strategies by deriving optimal algorithms for a series of increasingly more realistic abstract computational architectures, which we call “resource-rational analysis.”. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Toward Resilient DemocracyCognitive Resources and ConstraintsJohn Teehan (bio)I. Introduction: The Cognitive Science of ReligionAmerican Immanence, an important and insightful work, offers an analysis of the existential crisis facing American democracy, and a possible path through this crisis. In developing this path, Michael Hogue asks, "can the feeling and awareness of the precarious value of life …awaken us to the precious depths of immanence, to living as if (...) this, our one and only world, matters ultimately?"1 Such an awakening, he argues, is vital to developing a "resilient democracy." I believe the answer to his question is "yes," and a positive answer to this profound question is sufficient warrant for exploring the path Hogue sets out. However, there is another question, one with broader implications: can this moral vision be adopted on a wide enough scale to attain the critical mass necessary to develop a democracy sufficiently resilient to weather this crisis? I will explore this second question using the insights derived from cognitive science, and particularly from the cognitive science of religion. This approach picks up on Hogue's invitation to interpret religion "within the evolutionary contexts of natural history,"2 and concurs with his claim that in "demystifying religion" an "evolutionary account …opens the way to a religious experience."3The Cognitive Science of Religion (CSR) is grounded in an evolutionary understanding of human cognitive and emotional processes, as these processes have developed to enable the species to respond to the challenges of survival and reproduction in dynamic environments, both physical and social. These cognitive tools were not shaped to discern some pre-given reality, but rather to serve the practical goals of natural beings embedded in natural situations. CSR, then, is congruent with the immanental philosophy, grounded in pragmatism, that Hogue develops in his book. Indeed, it can be argued that the methodology of CSR implicitly entails a pragmatist epistemology4. The various [End Page 65] mental tools and resultant religious beliefs and rituals all serve the ultimate goal of successful action within natural situations. CSR, then, can provide an empirical account of at least some of the processes that would be involved in actualizing an immanental political theology, and may identify some of the cognitive obstacles to that project.It is beyond the scope of this essay to set out a detailed account of CSR, but it will suffice to introduce some general tenets that have played a seminal role in the field.5 Those elements of a cultural system that we would deem religious are derived from natural cognitive processes that evolved to allow our earliest ancestors to successfully navigate an uncertain and dangerous environment.6 As an example, let's consider the gods, understanding by the "gods" any of the various beings that might commonly be termed "supernatural" (e.g., gods, spirits, ghosts, demons, fairies, divine ancestors, etc.). Belief in gods is theorized to flow, in part, from natural cognitive mechanisms for the detection of agents (that is, beings that act with intent). The ability to detect such beings—beings that might pose a danger—is essential to surviving in an uncertain and dangerous world. This ability was so vital that natural selection favored the evolution of a cognitive process for detecting agents that is hypersensitive.7 Detecting the presence of an agent when none is actually present is a much safer error than failing to detect an actual predator, and so this cognitive strategy could regularly give rise to false positives.Detecting the presence of an agent is the beginning phase of devising effective action, but to determine how to respond to this perceived agent, we must make sense of its possible intent. Therefore, we do not merely perceive a presence, we ascribe intention and purpose to that agent. In doing so, we engage the mental process termed Theory of Mind (ToM).8 Detecting the [End Page 66] action of agents, and determining intention and purpose, are vital to successful action. In a dangerous and uncertain world—i.e. the world in which humans have lived for millennia—these skills are essential to survival, and it follows that natural selection would favor cognitive processes that erred on the side of... (shrink)

In the past 10 years, contemporary philosophy of mathematics has seen the development of a trend that conceives mathematics as first and foremost a human activity and in particular as a kind of practice. However, only recently the need for a general framework to account for the target of the so-called philosophy of mathematical practice has emerged. The purpose of the present article is to make progress towards the definition of a more precise general framework for the philosophy of mathematical (...) practice by exploring two strategies. A first strategy is to turn to philosophy of mind and Edwin Hutchins' view of distributed cognition in order to better understand the cognitive issues at play when considering a community of mathematicians; a second strategy is to refer to philosophy of language and focus on Robert Brandom's inferentialism and mathematical conceptual content. A possible combination of these two views, called enhanced material inferentialism, is then put forward as a promising framework to account for the philosophy of mathematical practice. (shrink)

This paper consists of a detailed analysis of how the participants in a debate build their emotional position during the interaction and how such a position is strongly related to the conclusion they defend. In this case study, teenage Mexican, students, arguing about access to drinking water, display extensive discursive work on the emotional tonality given to the issue. Plantin’s methodological tools are adopted to follow two alternative emotional framings produced by disagreeing students, starting from a common, highly negative, thymic (...) tonality. Through the analysis of four parameters we describe how the emotional dimension of schematization is argumentatively relevant. In authentic discourse, it is impossible to separate emotion from reason. The conclusion section discusses the implications for the design of argumentation-based pedagogical activities. (shrink)

(2013). Evolutionary modules and Bayesian facilitation: The role of general cognitive resources. Thinking & Reasoning: Vol. 19, No. 1, pp. 27-53. doi: 10.1080/13546783.2012.713177.

This study examines the cognitive resources underlying the attribution of stigma in substance use and misuse. A cultural model of substance misuse risk was elicited from students at a major U.S. state university. We found a contested cultural model, with some respondents adopting a model of medical risk while others adopted a model of moral failure; agreeing that moral failure primarily defined risk led to greater attribution of stigma. Here we incorporate general beliefs about moral decision-making, assessed through (...) Moral Foundations Theory. Specifically, we examined commitment to each moral foundation in relation to stigma attribution while controlling for the specific model of substance misuse risk. We found an interaction between the purity moral foundation and the cultural model of risk. This suggests that broad moral orientations, along with more specific understandings of substance misuse risk, combine to orient an individual with respect to stigma attribution. (shrink)

Neuroscientists have formulated the model of emotional intelligence based on brain imaging findings of individual differences in EI. The main objective of our study was to operationalize the advantage of high EI individuals in emotional information processing and regulation both at behavioral and neural levels of investigation. We used a self-report measure and a cognitive reappraisal task to demonstrate the role of EI in emotional perception and regulation. Participants saw pictures with negative or neutral captions and shifted from negative (...) context to neutral while we registered brain activation. Behavioral results showed that higher EI participants reported more unpleasant emotions. The Utilization of emotions scores negatively correlated with the valence ratings and the subjective difficulty of reappraisal. In the negative condition, we found activation in hippocampus, parahippocampal gyrus, cingulate cortex, insula and superior temporal lobe. In the neutral context, we found elevated activation in vision-related areas and HC. During reappraisal condition, we found activation in the medial frontal gyrus, temporal areas, vision-related regions and in cingulate gyrus. We conclude that higher EI is associated with intensive affective experiences even if emotions are unpleasant. Strong skills in utilizing emotions enable one not to repress negative feelings but to use them as source of information. High EI individuals use effective cognitive processes such as directing attention to relevant details; have advantages in allocation of cognitive resources, in conceptualization of emotional scenes and in building emotional memories; they use visual cues, imagination and executive functions to regulate negative emotions effectively. (shrink)

Pursuing a precise, focused train of thought requires cognitive effort. Even more effort is necessary when more alternatives need to be considered or when the imagined situation becomes more complex. Cognitive resources available to us limit the cognitive effort we can spend. In line with previous work, an information-theoretic, Bayesian brain approach to cognitive effort is pursued: to solve tasks in our environment, our brain needs to invest information, that is, negative entropy, to impose structure, (...) or focus, away from a uniform structure or other task-incompatible, latent structures. To get a more complete formalization of cognitive effort, a resourceful event-predictive inference model is introduced, which offers computational and algorithmic explanations about the latent structure of our generative models, the active inference dynamics that unfold within, and the cognitive effort required to steer the dynamics—to, for example, purposefully process sensory signals, decide on responses, and invoke their execution. REPI suggests that we invest cognitive resources to infer preparatory priors, activate responses, and anticipate action consequences. Due to our limited resources, though, the inference dynamics are prone to task-irrelevant distractions. For example, the task-irrelevant side of the imperative stimulus causes the Simon effect and, due to similar reasons, we fail to optimally switch between tasks. An actual model implementation simulates such task interactions and offers first estimates of the involved cognitive effort. The approach may be further studied and promises to offer deeper explanations about why we get quickly exhausted from multitasking, how we are influenced by irrelevant stimulus modalities, why we exhibit magnitude interference, and, during social interactions, why we often fail to take the perspective of others into account. (shrink)

Resource rationality may explain suboptimal patterns of reasoning; but what of “anti-Bayesian” effects where the mind updates in a direction opposite the one it should? We present two phenomena — belief polarization and the size-weight illusion — that are not obviously explained by performance- or resource-based constraints, nor by the authors’ brief discussion of reference repulsion. Can resource rationality accommodate them?

The COVID-19 pandemic is putting the NHS under unprecedented pressure, requiring clinicians to make uncomfortable decisions they would not ordinarily face. These decisions revolve primarily around intensive care and whether a patient should undergo invasive ventilation. Certain vulnerable populations have featured in the media as falling victim to an increasingly utilitarian response to the pandemic—primarily those of advanced years or with serious existing health conditions. Another vulnerable population potentially at risk is those who lack the capacity to make their own (...) care decisions. Owing to the pandemic, there are increased practical and normative challenges to following the requirements of the Mental Capacity Act 2005. Both capacity assessments and best interests decisions may prove more difficult in the current situation. This may create a more paternalistic situation in decisions about the care of the cognitively impaired which is at risk of taking on a utilitarian focus. We look to these issues and consider whether there is a risk of patients who lack capacity to make their own care decisions being short-changed. (shrink)

I propose to study one problem for epistemic dependence on experts: how to locate experts on what I will call cognitive islands. Cognitive islands are those domains for knowledge in which expertise is required to evaluate other experts. They exist under two conditions: first, that there is no test for expertise available to the inexpert; and second, that the domain is not linked to another domain with such a test. Cognitive islands are the places where we have (...) the fewest resources for evaluating experts, which makes our expert dependences particularly risky. -/- Some have argued that cognitive islands lead to the complete unusability of expert testimony: that anybody who needs expert advice on a cognitive island will be entirely unable to find it. I argue against this radical form of pessimism, but propose a more moderate alternative. I demonstrate that we have some resources for finding experts on cognitive islands, but that cognitive islands leave us vulnerable to an epistemic trap which I will call runaway echo chambers. In a runaway echo chamber, our inexpertise may lead us to pick out bad experts, which will simply reinforce our mistaken beliefs and sensibilities. (shrink)

According to the hypotheses of distributed and extended cognition, remembering does not always occur entirely inside the brain but is often distributed across heterogeneous systems combining neural, bodily, social, and technological resources. These ideas have been intensely debated in philosophy, but the philosophical debate has often remained at some distance from relevant empirical research, while empirical memory research, in particular, has been somewhat slow to incorporate distributed/extended ideas. This situation, however, appears to be changing, as we witness an increasing (...) level of interaction between the philosophy and the empirical research. In this editorial, we provide a high-level historical overview of the development of the debates around the hypotheses of distributed and extended cognition, as well as relevant theory and empirical research on memory, considering both the role of memory in theoretical debates around distributed/extended ideas and strands of memory research that resonate with those ideas; we emphasize recent trends towards increased interaction, including new empirical paradigms for investigating distributed memory systems. We then provide an overview of the special issue itself, drawing out a number of general implications from the contributions, and conclude by sketching promising directions for future research on distributed memory. (shrink)

The Cognitive Basis of Science concerns the question 'What makes science possible?' Specifically, what features of the human mind and of human culture and cognitive development permit and facilitate the conduct of science? The essays in this volume address these questions, which are inherently interdisciplinary, requiring co-operation between philosophers, psychologists, and others in the social and cognitive sciences. They concern the cognitive, social, and motivational underpinnings of scientific reasoning in children and lay persons as well as (...) in professional scientists. The editors' introduction lays out the background to the debates, and the volume includes a consolidated bibliography that will be a valuable reference resource for all those interested in this area. The volume will be of great importance to all researchers and students interested in the philosophy or psychology of scientific reasoning, as well as those, more generally, who are interested in the nature of the human mind. (shrink)

Understanding stakeholders’ perceptions and motivations is of significant importance in relation to conservation and protected area projects. The importance of stakeholder analysis is widely recognized as a necessary means for gaining insight into the complex systemic interactions between natural processes, management policies, and local people depending on the resource. Today, community and group-based participatory inquiry approaches are widely used for this purpose. Recently, participatory approaches have been critiqued for not considering power relations and conflict internal to the community. In this (...) article, we suggest that the five-step Rapid Stakeholder and Conflict Assessment (RSCA) methodology addresses this critique. The objective of the methodology is to provide a facilitator with a comprehensive foundation on which to plan and conduct subsequent participatory project development. The RSCA integrates elements of soft systems and critical systems thinking. Qualitative research interviews and cognitive mapping of stakeholders’ mental models are used for collection of empirical material and analysis. The RSCA methodology is demonstrated in a case study concerning buffer zone management in the coastal wetlands of southern Vietnam. The case study shows that the RSCA methodology can provide an efficient way of obtaining a holistic and critical understanding of a complex resource management situation, thus potentially enhancing project performance in an instrumental as well as an ethical sense. (shrink)

An increasing number of learning goals refer to the acquisition of cognitive skills that can be described as ‘resource-based,’ as they require the availability, coordination, and integration of multiple underlying resources such as skills and knowledge facets. However, research on the support of cognitive skills rarely takes this resource-based nature explicitly into account. This is mirrored in prior research on mathematical argumentation and proof skills: Although repeatedly highlighted as resource-based, for example relying on mathematical topic knowledge, methodological (...) knowledge, mathematical strategic knowledge, and problem-solving skills, little evidence exists on how to support mathematical argumentation and proof skills based on its resources. To address this gap, a quasi-experimental intervention study with undergraduate mathematics students examined the effectiveness of different approaches to support both mathematical argumentation and proof skills and four of its resources. Based on the part-/whole-task debate from instructional design, two approaches were implemented during students’ work on proof construction tasks: (i) asequential approachfocusing and supporting each resource of mathematical argumentation and proof skills sequentially after each other and (ii) aconcurrent approachfocusing and supporting multiple resources concurrently. Empirical analyses show pronounced effects of both approaches regarding the resources underlying mathematical argumentation and proof skills. However, the effects of both approaches are mostly comparable, and only mathematical strategic knowledge benefits significantly more from the concurrent approach. Regarding mathematical argumentation and proof skills, short-term effects of both approaches are at best mixed and show differing effects based on prior attainment, possibly indicating an expertise reversal effect of the relatively short intervention. Data suggests that students with low prior attainment benefited most from the intervention, specifically from the concurrent approach. A supplementary qualitative analysis showcases how supporting multiple resources concurrently alongside mathematical argumentation and proof skills can lead to a synergistic integration of these during proof construction and can be beneficial yet demanding for students. Although results require further empirical underpinning, both approaches appear promising to support the resources underlying mathematical argumentation and proof skills and likely also show positive long-term effects on mathematical argumentation and proof skills, especially for initially weaker students. (shrink)

Theories of rational decision making often abstract away from computational and other resource limitations faced by real agents. An alternative approach known as resource rationality puts such matters front and center, grounding choice and decision in the rational use of finite resources. Anticipated by earlier work in economics and in computer science, this approach has recently seen rapid development and application in the cognitive sciences. Here, the theory of rationality plays a dual role, both as a framework for (...) normative assessment and as a source of scientific hypotheses about how mental processes in fact work. The latter project, often called rational analysis, depends for its success on a fine-grained characterization of the computational problem facing a decision maker, which may in turn depend on realistic assumptions about what the relevant agent is like. As a consequence, resource rationality involves a delicate, but often fruitful interplay between the normative and the descriptive. (shrink)

Based on an endorsement of the hypothesis of extended cognition , this paper proposes a criticism of the representationalist assumptions that still pertain to these contemporary models of cognition. I first rehearse some basic problems akin to any representationalist model of cognition, before proposing some more specific arguments directed against the necessity, the plausibility, and the coherence of the marriage between extended cognition and contemporary representationalism . Extended and distributed models of cognition have the resources to get rid of (...) representationalism, and they should better do it. Their adherence to representationalism might be an by-product of the extended character of the scientific study of cognition. (shrink)

Based on an endorsement of the hypothesis of extended cognition, this paper proposes a criticism of the representationalist assumptions that still pertain to these contemporary models of cognition. I first rehearse some basic problems akin to any representationalist model of cognition, before proposing some more specific arguments directed against the necessity, the plausibility, and the coherence of the marriage between extended cognition and contemporary representationalism. Extended and distributed models of cognition have the resources to get rid of representationalism, and (...) they should better do it. Their adherence to representationalism might be an by-product of the extended character of the scientific study of cognition. (shrink)

Disagreement remains about whether particular human socio-cognitive traits arose primarily as a result of biological adaptations, or because of changing cultural practices. Heyes argues that uniquely human traits, including imitation and theory of mind, are the product of cultural learning. In contrast, Tomasello argues that they are, in key respects, part of a suite of adaptations for ‘shared intentionality’. We consider how such disagreements might be resolved. We show that the kinds of consideration often used to adjudicate questions about (...) trait origins are insufficient to settle origin questions. Furthermore, humankind’s immersion in culture undermines the prospect that cross-cultural and developmental studies could resolve origin questions. Nonetheless we argue that, when cautiously interpreted, currently neglected studies of enculturated great apes (i.e. apes raised in human environments) can shed new light on trait origins, and inform mechanistic accounts of cognitive development. While acknowledging the shortcomings of enculturation research, we argue that it deserves renewed attention. (shrink)

Philosophical attention to animals can be found in a wide range of texts throughout the history of philosophy, including discussions of animal classification in Aristotle and Ibn Bâjja, of animal rationality in Porphyry, Chrysippus, Aquinas and Kant, of mental continuity and the nature of the mental in Dharmakīrti, Telesio, Conway, Descartes, Cavendish, and Voltaire, of animal self-consciousness in Ibn Sina, of understanding what others think and feel in Zhuangzi, of animal emotion in Śāntarakṣita and Bentham, and of human cultural uniqueness (...) in Xunzi. In recent years, there has been increased attention to animal minds in philosophical discussions across many areas of metaphysics, epistemology, and value theory. Given that nonhuman animals share some biological and psychological features with humans, and that we share community, land, and other resources, consideration of nonhuman animals has much to contribute to our philosophical activities. -/- Contemporary philosophy of animal minds often also engages with the sciences of animal cognition and behavior. The science of comparative cognition is a thriving area of research, complementing the philosophical study in two ways. For one, philosophers of animal cognition can use claims resulting from animal cognition studies as premises in philosophical discussions. For example, Jacob Beck (2012) relies on pigeons’ abilities to compare quantities to argue for nonconceptual content; Sidney Carls-Diamante (forthcoming) appeals to octopus behavior and physiology to defend embodied cognition; Richard Moore (2016a) refers to ape gestural communication to rethink the requirements for intentional communication; Andrew Barron and Colin Klein (2016) appeal to insect cognition research to defend new theories of consciousness; Sarah Vincent, Rebecca Ring, and Kristin Andrews (2019) cite dolphins’ social practices to argue for the existence of norms that do not require metacognition. -/- In addition, philosophers of animal cognition can examine the epistemology and methods used to justify the claims that arise from the science. Research into animal cognition has resulted in surprising claims about animal capacities, such as sociality in garter snakes (Skinner & Miller 2020), tool-use in ants (Maák et al. 2017), mirror self-recognition in fish (Kohda et al. 2019), empathy in rats (Bartal et al. 2011), social learning in fruit flies (Danchin et al. 2018), episodic memory in dogs (Fugazza et al. 2020), addition and subtraction in bees (Howard et al. 2019). How should we evaluate such claims? -/- Some philosophers have argued that animal cognition research is held to a higher standard than human cognition research, and that scientists working with animals are sometimes asked to solve skeptical problems (Halina 2015). Others have challenged scientific assumptions about the relationship between brain size and intelligence, as well as biases against invertebrates (Mikhalevich & Powell 2020). -/- Animal cognition research challenges philosophers to consider that many capacities and behaviors often assumed to require language, sophisticated technological capacities, or legal systems may in fact be had by other animals who lack these properties. In this way, animal cognition research often surprises us by showing that sophisticated-looking activity can be caused through rather simple mechanisms. -/- 1. What is Animal Cognition? 2. Philosophical Assumptions in the Study of Animal Cognition 2.1 Theory-ladenness 2.2 Value-ladenness 2.3 Objectivity 2.4 Simplicity 2.5 Summary 3. Animal Cognition Applied to Philosophy 3.1 The problem of other minds 3.2 The mind-body problem 3.3 Consciousness 3.4 Thought 3.5 Communication 3.6 Social understanding 3.7 The influence of animal cognition on value theory 3.7.1 Ethics 3.7.2 Political theory 3.8 Summary Bibliography Academic Tools Other Internet Resources Related Entries. (shrink)

Resource Bounded Agents Resource bounded agents are persons who have information processing limitations. All persons and other cognitive agents who have bodies are such that their sensory transducers have limited resolution and discriminatory ability; their information processing speed and power is bounded by some threshold; and their memory and … Continue reading Resource Bounded Agents →.

We advance an account that grounds cognition, specifically decision-making, in an activity all organisms as autonomous systems must perform to keep themselves viable—controlling their production mechanisms. Production mechanisms, as we characterize them, perform activities such as procuring resources from their environment, putting these resources to use to construct and repair the organism's body and moving through the environment. Given the variable nature of the environment and the continual degradation of the organism, these production mechanisms must be regulated by (...) control mechanisms that select when a production is required and how it should be carried out. To operate on production mechanisms, control mechanisms need to procure information through measurement processes and evaluate possible actions. They are making decisions. In all organisms, these decisions are made by multiple different control mechanisms that are organized not hierarchically but heterarchically. In many cases, they employ internal models of features of the environment with which the organism must deal. Cognition, in the form of decision-making, is thus fundamental to living systems which must control their production mechanisms. (shrink)

Topics in Cognitive Science, Volume 14, Issue 3, Page 528-549, July 2022.

In recent decades, a new scientific approach to understand, explain, and predict many features of religion has emerged. The cognitive science of religion has amassed research on the forces that shape the tendency for humans to be religious and on what forms belief takes. It suggests that religion, like language or music, naturally emerges in humans with tractable similarities. This new approach has profound implications for how we understand religion, including why it appears so easily, and why people are (...) willing to fight-and die for it. Yet it is not without its critics, and some fear that scholars are explaining the ineffable mystery of religion away, or by showing that religion is natural proves or disproves the existence of God. An Introduction to the Cognitive Science of Religion offers students and general readers an accessible introduction to the approach, providing an overview of key findings and the debates that shape it. The volume includes a glossary of key terms, and each chapter includes suggestions for further thought and further reading as well as chapter summaries highlighting key points. This book is an indispensable resource for introductory courses on religion and a much-needed option for advanced courses. (shrink)

This study provides evidence supporting the operation of a novel cognitive process of a somatic seat of attention, or ego-center, whose somatic location is under voluntary control and that provides access to differential emotional resources. Attention has typically been studied in terms of what it is directed toward, but it can also be associated with a localized representation in the body image that is experienced as the source or seat of attention—an aspect that has previously only been studied (...) by subjective techniques. Published studies of this phenomenon under terms such as egocenter or self-location suggest that the seat of attention can be situated in various ways within the experienced body, resulting in what are here referred to as different attentional stances. These studies also provide evidence that changes in attentional stance are associated with differences in cognitive skill, emotional temperament, self-construal, and social and moral attitudes, as well as with access to certain states of consciousness. In the present study, EEG results from multiple trials of each of 11 specific attentional stances confirmed that patterns of neural activity associated with the voluntarily control of attentional stances can be reliably measured, providing evidence for a differential neural substrate underlying the subjective location of the seat of attention. Additionally, brain activation patterns for the attentional stances showed strong correlations with EEG signatures associated with specific positive emotional states and with arousal, confirming that differential locations of the seat of attention can be objectively associated with different emotion states, as implied in previous literature. The ability to directly manage the seat of attention into various attentional stances holds substantial potential for facilitating access to specific cognitive and emotional resources in a new way. (shrink)

Humans are closely coupled with their environments. They rely on being ‘embedded’ to help coordinate the use of their internal cognitive resources with external tools and resources. Consequently, everyday cognition, even cognition in the absence of others, may be viewed as partially distributed. As cognitive scientists our job is to discover and explain the principles governing this distribution: principles of coordination, externalization, and interaction. As designers our job is to use these principles, especially if they can (...) be converted to metrics, in order to invent and evaluate candidate designs. After discussing a few principles of interaction and embedding I discuss the usefulness of a range of metrics derived from economics, computational complexity, and psychology. (shrink)

This paper presents a cognitive model of the planning process. The model generalizes the theoretical architecture of the Hearsay‐ll system. Thus, it assumes that planning comprises the activities of a variety of cognitive “specialists.” Each specialist can suggest certain kinds of decisions for incorporation into the plan in progress. These include decisions about: (a) how to approach the planning problem; (b) what knowledge bears on the problem; (c) what kinds of actions to try to plan; (d) what specific (...) actions to plan; and (e) how to allocate cognitive resources during planning. Within each of these categories, different specialists suggest decisions at different levels of abstraction. The activities of the various specialists are not coordinated in any systematic way. Instead, the specialists operate opportunistically, suggesting decisions whenever promising opportunities arise. The paper presents a detailed account of the model and illustrates its assumptions with a “thinking aloud” protocol. It also describes the performance of a computer simulation of the model. The paper contrasts the proposed model with successive refinement models and attempts to resolve apparent differences between the two points of view. (shrink)