Search results for 'Analogical Cognition' (try it on Scholar)

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  1.  76
    Theodore Bach (2012). Analogical Cognition: Applications in Epistemology and the Philosophy of Mind and Language. Philosophy Compass 7 (5):348-360.
    Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal (...)
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  2.  26
    Dedre Gentner (2010). Bootstrapping the Mind: Analogical Processes and Symbol Systems. Cognitive Science 34 (5):752-775.
    Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.
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  3.  63
    Theodore Bach (2011). Structure-Mapping: Directions From Simulation to Theory. Philosophical Psychology 24 (1):23-51.
    The theory of mind debate has reached a “hybrid consensus” concerning the status of theory-theory and simulation-theory. Extant hybrid models either specify co-dependency and implementation relations, or distribute mentalizing tasks according to folk-psychological categories. By relying on a non-developmental framework these models fail to capture the central connection between simulation and theory. I propose a “dynamic” hybrid that is informed by recent work on the nature of similarity cognition. I claim that Gentner’s model of structure-mapping allows us to understand (...)
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  4.  38
    Marcello Guarini (2010). Particularism, Analogy, and Moral Cognition. Minds and Machines 20 (3):385-422.
    ‘Particularism’ and ‘generalism’ refer to families of positions in the philosophy of moral reasoning, with the former playing down the importance of principles, rules or standards, and the latter stressing their importance. Part of the debate has taken an empirical turn, and this turn has implications for AI research and the philosophy of cognitive modeling. In this paper, Jonathan Dancy’s approach to particularism (arguably one of the best known and most radical approaches) is questioned both on logical and empirical grounds. (...)
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  5.  26
    Paul Thagard & Cameron Shelley, Emotional Analogies and Analogical Inference.
    Despite the growing appreciation of the relevance of affect to cognition, analogy researchers have paid remarkably little attention to emotion. This paper discusses three general classes of analogy that involve emotions. The most straightforward are analogies and metaphors about emotions, for example "Love is a rose and you better not pick it." Much more interesting are analogies that involve the transfer of emotions, for example in empathy in which people understand the emotions of others by imagining their own emotional (...)
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  6. Marcello Guarini, Particularism, Analogy, and Moral Cognition.
    ‘Particularism’ and ‘generalism’ refer to families of positions in the philosophy of moral reasoning, with the former playing down the importance of principles, rules or standards, and the latter stressing their importance. Part of the debate has taken an empirical turn, and this turn has implications for AI research and the philosophy of cognitive modeling. In this paper, Jonathan Dancy’s approach to particularism is questioned both on logical and empirical grounds. Doubts are raised over whether Dancy’s brand of particularism can (...)
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  7.  9
    Edward A. Wasserman (2008). Development and Evolution of Cognition: One Doth Not Fly Into Flying! Behavioral and Brain Sciences 31 (4):400-401.
    thought, in general, and – reasoning by analogy, in particular, have been said to reside at the very summit of human cognition. Leech et al. endeavor to comprehend the development of analogous thinking in human beings. Applying Leech et al.'s general approach to the evolution of analogical behavior in animals might also prove to be of considerable value.
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  8.  4
    Eric Steinhart (1994). Beyond Proportional Analogy: A Structural Model of Analogical Mapping. Pragmatics and Cognitionpragmatics and Cognition 2 (1):95-129.
    A model of analogical mapping is proposed that uses five principles to generate consistent and conflicting hypotheses regarding assignments of elements of a source domain to analogous elements of a target domain. The principles follow the fine conceptual structure of the domains. The principles are: (1) the principle of proportional analogy; (2) the principle of mereological analogy, (3) the principle of chain reinforcement; (4) the principle of transitive reinforcement; and (5) the principle of mutual inconsistency. A constraint-satisfaction network is (...)
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  9.  9
    Kenneth D. Forbus, Ronald W. Ferguson, Andrew Lovett & Dedre Gentner (2016). Extending SME to Handle Large‐Scale Cognitive Modeling. Cognitive Science 40 (6):n/a-n/a.
    Analogy and similarity are central phenomena in human cognition, involved in processes ranging from visual perception to conceptual change. To capture this centrality requires that a model of comparison must be able to integrate with other processes and handle the size and complexity of the representations required by the tasks being modeled. This paper describes extensions to Structure-Mapping Engine since its inception in 1986 that have increased its scope of operation. We first review the basic SME algorithm, describe psychological (...)
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  10.  2
    U. Goswami (1990). Melting Chocolate and Melting Snowmen: Analogical Reasoning and Causal Relations. Cognition 35 (1):69-95.
  11.  2
    Daniel Corral & Matt Jones (2014). The Effects of Relational Structure on Analogical Learning. Cognition 132 (3):280-300.
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  12. Steven Lehar (forthcoming). The Function of Conscious Experience: An Analogical Paradigm of Perception and Behavior. Consciousness and Cognition.
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  13. Stephen E. Robbins (2012). Meditation on a Mousetrap: On Consciousness and Cognition, Evolution, and Time. Journal of Mind and Behavior 33 (1):69.
    Evolutionary theory has yet to offer a detailed model of the complex transitions from a living system of one design to another of more advanced, or simply different, design. Hidden within the writings of evolution's expositors is an implicit appeal to AI-like processes operating within the "cosmic machine" that has hitherto been evolving the plethora of functional living systems we observe. In these writings, there is disturbingly little understanding of the deep problems involved, resting as they do in the very (...)
     
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  14.  1
    Usha Goswami & Ann L. Brown (1990). Higher-Order Structure and Relational Reasoning: Contrasting Analogical and Thematic Relations. Cognition 36 (3):207-226.
  15.  6
    Arthur B. Markman (2011). Can Developmental Psychology Provide a Blueprint for the Study of Adult Cognition? Behavioral and Brain Sciences 34 (3):140-141.
    In order to develop sophisticated models of the core domains of knowledge that support complex cognitive processing in infants and children, developmental psychologists have mapped out the content of these knowledge domains. This research strategy may provide a blueprint for advancing research on adult cognitive processing. I illustrate this suggestion with examples from analogical reasoning and decision making.
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  16.  5
    G. Thomas Goodnight (2013). The Virtues of Reason and the Problem of Other Minds: Reflections on Argumentation in a New Century. Informal Logic 33 (4):510-530.
    From early modernity, philosophers have engaged in skeptical discussions concerning knowledge of the existence, state, and standing of other minds. The analogical move from self to other unfolds as controversy. This paper reposes the problem as an argumentation predicament and examines analogy as an opening to the study of rhetorical cognition. Rhetorical cognition is identified as a productive process coming to terms with an other through testing sustainable risk. The paper explains how self-sustaining risk is theorized by (...)
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  17.  1
    Robert Leech, Denis Mareschal & Richard P. Cooper (2008). Growing Cognition From Recycled Parts. Behavioral and Brain Sciences 31 (4):401-414.
    In this response, we reiterate the importance of development (both ontogenetic and phylogenetic) in the understanding of a complex cognitive skill – analogical reasoning. Four key questions structure the response: Does relational priming exist, and is it sufficient for analogy? What do we mean by relations as transformations? Could all or any relations be represented as transformations? And what about the challenge of more complex analogies? In addressing these questions we bring together a number of supportive commentaries, strengthening our (...)
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  18. G. Thomas Goodnight (2013). The Virtues of Reason and the Problem of Other Minds: Reflections on Argumentation in a New Century. Informal Logic 33 (4):510-530.
    From early modernity, philosophers have engaged in skeptical discussions concerning knowledge of the existence, state, and standing of other minds. The analogical move from self to other unfolds as controversy. This paper reposes the problem as an argumentation predicament and examines analogy as an opening to the study of rhetorical cognition. Rhetorical cognition is identified as a productive process coming to terms with an other through testing sustainable risk. The paper explains how self-sustaining risk is theorized by (...)
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  19. Padraic Monaghan, Ut Na Sio, Sum Wai Lau, Hoi Kei Woo, Sally A. Linkenauger & Thomas C. Ormerod (2015). Sleep Promotes Analogical Transfer in Problem Solving. Cognition 143:25-30.
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  20.  6
    Adam Albright & Bruce Hayes (2003). Rules Vs. Analogy in English Past Tenses: A Computational/Experimental Study. Cognition 90 (2):119-161.
    Are morphological patterns learned in the form of rules? Some models deny this, attributing all morphology to analogical mechanisms. The dual mechanism model (Pinker, S., & Prince, A. (1998). On language and connectionism: analysis of a parallel distributed processing model of language acquisition. Cognition, 28, 73-193) posits that speakers do internalize rules, but that these rules are few and cover only regular processes; the remaining patterns are attributed to analogy. This article advocates a third approach, which uses multiple (...)
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  21.  80
    Michael Tomasello, Malinda Carpenter, Josep Call, Tanya Behne & Henrike Moll (2005). Understanding and Sharing Intentions: The Origins of Cultural Cognition. Behavioral and Brain Sciences 28 (5):675-691.
    We propose that the crucial difference between human cognition and that of other species is the ability to participate with others in collaborative activities with shared goals and intentions: shared intentionality. Participation in such activities requires not only especially powerful forms of intention reading and cultural learning, but also a unique motivation to share psychological states with others and unique forms of cognitive representation for doing so. The result of participating in these activities is species-unique forms of cultural (...) and evolution, enabling everything from the creation and use of linguistic symbols to the construction of social norms and individual beliefs to the establishment of social institutions. In support of this proposal we argue and present evidence that great apes understand the basics of intentional action, but they still do not participate in activities involving joint intentions and attention. Human children's skills of shared intentionality develop gradually during the first 14 months of life as two ontogenetic pathways intertwine: the general ape line of understanding others as animate, goal-directed, and intentional agents; and a species-unique motivation to share emotions, experience, and activities with other persons. The developmental outcome is children's ability to construct dialogic cognitive representations, which enable them to participate in earnest in the collectivity that is human cognition. Key Words: collaboration; cooperation; cultural learning; culture; evolutionary psychology; intentions; shared intentionality; social cognition; social learning; theory of mind; joint attention. (shrink)
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  22.  93
    Alvin I. Goldman (1986). Epistemology and Cognition. Harvard University Press.
    So argues a leading epistemologist in this work of fundamental importance to philosophical thinking.
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  23.  14
    Allen Newell (1990). Unified Theories of Cognition. Harvard University Press.
    In this book, Newell makes the case for unified theories by setting forth a candidate.
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  24.  41
    Adams, Frederick & Kenneth Aizawa (2008). The Bounds of Cognition. Blackwell.
  25.  99
    Hanne de Jaegher, Ezequiel di Paolo & Shaun Gallagher (2010). Can Social Interaction Constitute Social Cognition? Trends in Cognitive Sciences 14 (10):441-447.
    An important shift is taking place in social cognition research, away from a focus on the individual mind and toward embodied and participatory aspects of social understanding. Empirical results already imply that social cognition is not reducible to the workings of individual cognitive mechanisms. To galvanize this interactive turn, we provide an operational definition of social interaction and distinguish the different explanatory roles – contextual, enabling and constitutive – it can play in social cognition. We show that (...)
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  26.  50
    Zenon W. Pylyshyn (1980). Computation and Cognition: Issues in the Foundation of Cognitive Science. Behavioral and Brain Sciences 3 (1):111-32.
    The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain (...)
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  27. John Sutton (2006). Distributed Cognition: Domains and Dimensions. Pragmatics and Cognition 14 (2):235-248.
    Synthesizing the domains of investigation highlighted in current research in distributed cognition and related fields, this paper offers an initial taxonomy of the overlapping types of resources which typically contribute to distributed or extended cognitive systems. It then outlines a number of key dimensions on which to analyse both the resulting integrated systems and the components which coalesce into more or less tightly coupled interaction over the course of their formation and renegotiation.
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  28.  62
    Luis M. Augusto (2016). Lost in Dissociation: The Main Paradigms in Unconscious Cognition. Consciousness and Cognition 42:293-310.
    Contemporary studies in unconscious cognition are essentially founded on dissociation, i.e., on how it dissociates with respect to conscious mental processes and representations. This is claimed to be in so many and diverse ways that one is often lost in dissociation. In order to reduce this state of confusion we here carry out two major tasks: based on the central distinction between cognitive processes and representations, we identify and isolate the main dissociation paradigms; we then critically analyze their key (...)
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  29. Vincent C. Müller & Matej Hoffmann (forthcoming). What is Morphological Computation? On How the Body Contributes to Cognition and Control. Artificial Life (2016/17).
    The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) (...)
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  30. Joel Krueger (2011). Extended Cognition and the Space of Social Interaction. Consciousness and Cognition 20 (3):643-657.
    The extended mind thesis (EM) asserts that some cognitive processes are (partially) composed of actions consisting of the manipulation and exploitation of environmental structures. Might some processes at the root of social cognition have a similarly extended structure? In this paper, I argue that social cognition is fundamentally an interactive form of space management—the negotiation and management of ‘‘we-space”—and that some of the expressive actions involved in the negotiation and management of we-space (gesture, touch, facial and whole-body expressions) (...)
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  31.  71
    Amanda Seed & Michael Tomasello (2010). Primate Cognition. Topics in Cognitive Science 2 (3):407-419.
    As the cognitive revolution was slow to come to the study of animal behavior, the vast majority of what we know about primate cognition has been discovered in the last 30 years. Building on the recognition that the physical and social worlds of humans and their living primate relatives pose many of the same evolutionary challenges, programs of research have established that the most basic cognitive skills and mental representations that humans use to navigate those worlds are already possessed (...)
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  32. Frederick R. Adams & Kenneth Aizawa (2008). The Bounds of Cognition. Blackwell Pub..
  33.  22
    Lawrence Shapiro & Shannon Spaulding (forthcoming). Embodied Cognition and Sport. In Massimiliano Cappuccio (ed.), Handbook of Embodied Cognition and Sport Psychology. MIT Press
    Successful athletic performance requires precision in many respects. A batter stands behind home plate awaiting the arrival of a ball that is less than three inches in diameter and moving close to 100 mph. His goal is to hit it with a ba­­t that is also less than three inches in diameter. This impressive feat requires extraordinary temporal and spatial coordination. The sweet spot of the bat must be at the same place, at the same time, as the ball. A (...)
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  34. Shannon Spaulding (2013). Mirror Neurons and Social Cognition. Mind and Language 28 (2):233-257.
    Mirror neurons are widely regarded as an important key to social cognition. Despite such wide agreement, there is very little consensus on how or why they are important. The goal of this paper is to clearly explicate the exact role mirror neurons play in social cognition. I aim to answer two questions about the relationship between mirroring and social cognition: What kind of social understanding is involved with mirroring? How is mirroring related to that understanding? I argue (...)
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  35. Lawrence A. Shapiro (2010). Embodied Cognition. Routledge.
    Introduction: toward an understanding of embodied cognition -- Standard cognitive science -- Challenging standard cognitive science -- Conceptions of embodiment -- Embodied cognition: the conceptualization hypothesis -- Embodied cognition: the replacement hypothesis -- Embodied cognition: the constitution hypothesis -- Concluding thoughts.
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  36. Shannon Spaulding (2010). Embodied Cognition and Mindreading. Mind and Language 25 (1):119-140.
    Recently, philosophers and psychologists defending the embodied cognition research program have offered arguments against mindreading as a general model of our social understanding. The embodied cognition arguments are of two kinds: those that challenge the developmental picture of mindreading and those that challenge the alleged ubiquity of mindreading. Together, these two kinds of arguments, if successful, would present a serious challenge to the standard account of human social understanding. In this paper, I examine the strongest of these embodied (...)
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  37. Shannon Spaulding (2014). Embodied Cognition and Theory of Mind. In Lawrence Shapiro (ed.), Handbook of Embodied Cognition. Routledge 197-206.
    According to embodied cognition, the philosophical and empirical literature on theory of mind is misguided. Embodied cognition rejects the idea that social cognition requires theory of mind. It regards the intramural debate between the Theory Theory and the Simulation Theory as irrelevant, and it dismisses the empirical studies on theory of mind as ill conceived and misleading. Embodied cognition provides a novel deflationary account of social cognition that does not depend on theory of mind. In (...)
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  38. John Sutton, Celia B. Harris, Paul G. Keil & Amanda J. Barnier (2010). The Psychology of Memory, Extended Cognition, and Socially Distributed Remembering. Phenomenology and the Cognitive Sciences 9 (4):521-560.
    This paper introduces a new, expanded range of relevant cognitive psychological research on collaborative recall and social memory to the philosophical debate on extended and distributed cognition. We start by examining the case for extended cognition based on the complementarity of inner and outer resources, by which neural, bodily, social, and environmental resources with disparate but complementary properties are integrated into hybrid cognitive systems, transforming or augmenting the nature of remembering or decision-making. Adams and Aizawa, noting this distinctive (...)
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  39. Jiajie Zhang & Vimla L. Patel (2006). Distributed Cognition, Representation, and Affordance. Pragmatics and Cognition 14 (2):333-341.
    This article describes a representation-based framework of distributed cognition. This framework considers distributed cognition as a cognitive system whose structures and processes are distributed between internal and external representations, across a group of individuals, and across space and time. The major issue for distributed research, under this framework, are the distribution, transformation, and propagation of information across the components of the distributed cognitive system and how they affect the performance of the system as a whole. To demonstrate the (...)
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  40.  81
    David Kirsh (2006). Distributed Cognition: A Methodological Note. Pragmatics and Cognition 14 (2):249-262.
    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 (...)
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  41.  21
    L. SchiLbach, S. Eickhoff, A. RotArskajagiela, G. Fink & K. Vogeley (2008). Minds at Rest? Social Cognition as the Default Mode of Cognizing and its Putative Relationship to the "Default System" of the Brain. Consciousness and Cognition 17 (2):457--467.
    The “default system” of the brain has been described as a set of regions which are ‘activated’ during rest and ‘deactivated’ during cognitively effortful tasks. To investigate the reliability of task-related deactivations, we performed a meta-analysis across 12 fMRI studies. Our results replicate previous findings by implicating medial frontal and parietal brain regions as part of the “default system”.However, the cognitive correlates of these deactivations remain unclear. In light of the importance of social cognitive abilities for human beings and their (...)
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  42. J. Adam Carter & Jesper Kallestrup (2016). Extended Cognition and Propositional Memory. Philosophy and Phenomenological Research 92 (3):691-714.
    The philosophical case for extended cognition is often made with reference to ‘extended-memory cases’ ; though, unfortunately, proponents of the hypothesis of extended cognition as well as their adversaries have failed to appreciate the kinds of epistemological problems extended-memory cases pose for mainstream thinking in the epistemology of memory. It is time to give these problems a closer look. Our plan is as follows: in §1, we argue that an epistemological theory remains compatible with HEC only if its (...)
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  43.  13
    Norbert Ross, Jeffrey T. Shenton, Werner Hertzog & Mike Kohut (2015). Language, Culture and Spatial Cognition: Bringing Anthropology to the Table. Baltic International Yearbook of Cognition, Logic and Communication 10 (1):1-18.
    Languages vary in their semantic partitioning of the world. This has led to speculation that language might shape basic cognitive processes. Spatial cognition has been an area of research in which linguistic relativity – the effect of language on thought – has both been proposed and rejected. Prior studies have been inconclusive, lacking experimental rigor or appropriate research design. Lacking detailed ethnographic knowledge as well as failing to pay attention to intralanguage variations, these studies often fall short of defining (...)
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  44.  77
    Pierre Poirier & Guillaume Chicoisne (2006). A Framework for Thinking About Distributed Cognition. Pragmatics and Cognition 14 (2):215-234.
    As is often the case when scientific or engineering fields emerge, new concepts are forged or old ones are adapted. When this happens, various arguments rage over what ultimately turns out to be conceptual misunderstandings. At that critical time, there is a need for an explicit reflection on the meaning of the concepts that define the field. In this position paper, we aim to provide a reasoned framework in which to think about various issues in the field of distributed (...). We argue that both relevant concepts, distribution and cognition, must be understood as continuous. As it is used in the context of distributed cognition, the concept of distribution is essentially fuzzy, and we will link it to the notion of emergence of system-level properties. The concept of cognition must also be seen as fuzzy, but for a different reason: due to its origin as an anthropocentric concept, no one has a clear handle on its meaning in a distributed setting. As the proposed framework forms a space, we then explore its geography and visit famous landmarks. (shrink)
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  45. Joel Krueger, Extended Mind and Religious Cognition. Religion: Mental Religion. Part of the Macmillan Interdisciplinary Handbooks: Religion Series.
    The extended mind thesis claims that mental states need not be confined to the brain or even the biological borders of the subject. Philosophers and cognitive scientists have in recent years debated the plausibility of this thesis, growing an immense body of literature. Yet despite its many supporters, there have been relatively few attempts to apply the thesis to religious studies, particularly studies of religious cognition. In this essay, I indicate how various dimensions of religious cognition might be (...)
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  46.  67
    Robert A. Wilson (2004). Boundaries of the Mind: The Individual in the Fragile Sciences: Cognition. Cambridge University Press.
    Where does the mind begin and end? Robert Wilson establishes the foundations for the view that the mind extends beyond the boundary of the individual. He blends traditional philosophical analysis, cognitive science, and the history of psychology and the human sciences. Wilson then develops novel accounts of mental representation and consciousness, discussing a range of other issues, such as nativism and the idea of group minds. Boundaries of the Mind re-evaluates the place of the individual in the cognitive, biological and (...)
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  47. Stevan Harnad & Itiel Dror (2006). Distributed Cognition: Cognizing, Autonomy and the Turing Test. Pragmatics and Cognition 14 (2):14.
    Some of the papers in this special issue distribute cognition between what is going on inside individual cognizers' heads and their outside worlds; others distribute cognition among different individual cognizers. Turing's criterion for cognition was individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.
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  48.  9
    John Sutton (2006). Distributed Cognition: Domains and Dimensions. Pragmatics and Cognition 14 (2):235-247.
    Synthesizing the domains of investigation highlighted in current research in distributed cognition and related fields, this paper offers an initial taxonomy of the overlapping types of resources which typically contribute to distributed or extended cognitive systems. It then outlines a number of key dimensions on which to analyse both the resulting integrated systems and the components which coalesce into more or less tightly coupled interaction over the course of their formation and renegotiation.
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  49.  68
    David Kirsh (2005). Metacognition, Distributed Cognition and Visual Design. In Peter Gardenfors, Petter Johansson & N. J. Mahwah (eds.), Cognition, education, and communication technology. Erlbaum Associates 147--180.
    Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in metacognition. This is because metacognition tends to be interpreted as a process in the head, rather than an interactive one. It is argued here, that cognition and metacognition are (...)
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  50.  29
    Georg Theiner (2014). Varieties of Group Cognition. In Lawrence Shapiro (ed.), The Routledge Handbook of Embodied Cognition. Routledge 347-357.
    Benjamin Franklin famously wrote that “the good [that] men do separately is small compared with what they may do collectively” (Isaacson 2004). The ability to join with others in groups to accomplish goals collectively that would hopelessly overwhelm the time, energy, and resources of individuals is indeed one of the greatest assets of our species. In the history of humankind, groups have been among the greatest workers, builders, producers, protectors, entertainers, explorers, discoverers, planners, problem-solvers, and decision-makers. During the late 19th (...)
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