To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within variable environments. This raises the question, how do cognitive systems achieve similarly high degrees of robustness? The aim of this study was to identify a set of mechanisms that enhance robustness (...) in cognitive systems. We identify three mechanisms that enhance robustness in biological and engineered systems: system control, redundancy, and adaptability. After surveying the psychological literature for evidence of these mechanisms, we provide simulations illustrating how each contributes to robust cognition in a different psychological domain: psychomotor vigilance, semantic memory, and strategy selection. These simulations highlight features of a mathematical approach for quantifying robustness, and they provide concrete examples of mechanisms for robust cognition. (shrink)

Engineering, as a complex and multidimensional practice of technology development, has long been a source of ethical concerns. These concerns have been approached from various perspectives. There are ongoing debates in the literature of the philosophy of engineering/technology about how to organize an optimized view of the values entailed in technology development processes. However, these debates deliver little in the way of a concrete rationale or framework that could comprehensively describe different types of engineering values and their multi-aspect interrelations in (...) real engineering practices. Approaching engineering values from a meaning-based perspective, as in this paper, can be a reliable method of tackling such a controversial problem. This paper therefore proposes that technology development be considered a systemic normative practice and attempts to provide a comprehensive view of various built-in values, their different origins and features, and a way of prioritizing them in real engineering processes. Studying two cases of the Zayandeh Rood Dam and the Abbasi Dam will lead to practical insights into how to understand norms in technology development and incorporate them into engineering practice. (shrink)

Journal of Political Philosophy, Volume 30, Issue 2, Page 209-229, June 2022.

The extended mind thesis maintains that while minds may be centrally located in one?s brain-and-body, they are sometimes partly constituted by tools in our environment. Critics argue that we have no reason to move from the claim that cognition is embedded in the environment to the stronger claim that cognition can be constituted by the environment. I will argue that there are normative reasons, both scientific and ethical, for preferring the extended account of the mind to the rival embedded account. (...) nema. (shrink)

Vehicle externalism maintains that the vehicles of our mental representations can be located outside of the head, that is, they need not be instantiated by neurons located inside the brain of the cogniser. But some disagree, insisting that ‘non-derived’, or ‘original’, content is the mark of the cognitive and that only biologically instantiated representational vehicles can have non-derived content, while the contents of all extra-neural representational vehicles are derived and thus lie outside the scope of the cognitive. In this paper (...) we develop one aspect of Menary’s vehicle externalist theory of cognitive integration—the process of enculturation—to respond to this longstanding objection. We offer examples of how expert mathematicians introduce new symbols to represent new mathematical possibilities that are not yet understood, and we argue that these new symbols have genuine non-derived content, that is, content that is not dependent on an act of interpretation by a cognitive agent and that does not derive from conventional associations, as many linguistic representations do. (shrink)

Some evolutionary psychologists contend that the best way to discover the functions of our present psychological systems is by appealing to the notion of functional mesh, that is, the assumed tight fit between a trait's design and the adaptive problem it is supposed to solve. In this paper, I argue that there exist theoretical considerations and empirical evidence that undermine this assumption of optimal design. Instead, I suggest that cognitive systems are constrained by what I call bounded functionality. This proposal (...) makes use of Jacob's (1977) notion of evolution as a bricoleur and Simon's (1981) idea that problems can have ``satisficing'' solutions. Functional mesh will thus be shown to neglect constraints that are necessary to explain the evolution of psychological mechanisms. (shrink)

In this paper, we describe the conceptual elusiveness of the notion of function as used in engineering practice. We argue that it should be accepted as an ambiguous notion, and then review philosophical argumentations in which engineering functions occur in order to identify the consequences of this ambiguity. Function is a key notion in engineering, yet is used by engineers systematically in a variety of meanings. First, we demonstrate that this ambiguous use is rational for engineers by considering the role (...) of functions in design methods and by analysing the ambiguity in terms of Kuhn’s notion of methodological incommensurability. Second, we discuss ontological and mereological analyses of engineering functions and describe a proof that subfunctions cannot formally be taken as parts of the functions they decompose. Engineering functions figure sometimes in philosophical work and are then typically taken as having an unambiguous, well-defined meaning. Finally, we therefore revisit work in philosophy of technology on the dual nature of technical artefacts, in philosophy of science on functional and mechanistic explanations, and in philosophy of biology on biological functions, and explore the consequences of the fact that engineering function is an ambiguous notion. It is argued that one of these consequences may be that also the notion of biological function has an ambiguous meaning. (shrink)

This paper studies how salespeople make ethical decisions. For this purpose a structural model has been developed which configures how the organization's environment, the organizations's climate, and personality traits affect ethical decision making. Internal communication and the choice of a control system especially affect ethical decision making. Internal communication also affects the attraction of salespeople with unethical personality traits (Machiavellism), while the control system affects the ethical climate. Ethical climate and salespeople's personality traits also affect the ethical decision making. In (...) fact the study shows that ethical decision making can be influenced by management. (shrink)

Explanations of cognitive processes provided by traditional artificial intelligence were based on the notion of the knowledge level. This perspective has been challenged by new AI that proposes an approach based on embodied systems that interact with the real‐world. We demonstrate that these two views can be unified. Our argument is based on the assumption that knowledge level explanations can be defined in the context of Bayesian theory while the goals of new AI are captured by using a well established (...) robot based model of learning and problem solving, called Distributed Adaptive Control (DAC). In our analysis we consider random foraging and we prove that minor modifications of the DAC architecture renders a model that is equivalent to a Bayesian analysis of this task. Subsequently, we compare this enhanced, “rational,” model to its “non‐rational” predecessor and a further control condition using both simulated and real robots, in a variety of environments. Our results show that the changes made to the DAC architecture, in order to unify the perspectives of old and new AI, also lead to a significant improvement in random foraging. (shrink)

Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual cognitive (...) scientists and organizing groups of like-minded cognitive scientists into genuine communities. (b) Successful architectures provide idioms that structure the design and interpretation of computational models. (c) Successful architectures are strange: They make provocative, often disturbing, and ultimately compelling claims about human information processing that demand evaluation. (shrink)

The problem of complexity is considered within the framework of concepts developed in recent studies in the philosophy of chemistry. According to previously expressed ideas about diminishing interactions (Vančik, 1999), as well as on the basis of the concept of levels of complexity, we speculate here that the complexity should approach its final limit. On the other hand, dynamical complexity may grow ad infinitum, and relativistic effects can only limit it. Impacts of these considerations on a possible change of actual (...) paradigm of cosmology, especially on the anthropic principle, are also discussed. (shrink)

Participants in cognitive psychology experiments on reasoning and problem solving are commonly sequestered: Efforts are made to impoverish the physical context in which the problem is presented, decoupling people from the richer and modifiable environment that naturally instantiates it outside the lab. Sense-making activities are constrained, but this conforms to the strong internalist and individualist commitments implicit to these research efforts: Cognition reflects internal computations and the scientists’ toils must focus on the individual and what she is thinking, decoupled from (...) the world. We contrast this position with one that identifies cognition as the product of a cognitive system that is configured and enacted by, minimally, an agent and the world in which she is embedded. We review work on the psychology of hypothesis testing and problem solving and argue that refocusing research efforts on the dynamic agent-environment couplings that generate cognitive products — such as a problem representation, a hypothesis or a problem solution — offers a much richer set of methodological opportunities to unveil how people actually think outside the cognitive psychologist’s laboratory. We conclude by exploring the ontological implications of a systemic perspective on cognition. (shrink)

Central to contemporary cognitive science is the notion that mental processes involve computations defined over internal representations. This view stands in sharp contrast to the to visual perception and cognition, whose most prominent proponent has been J.J. Gibson. In the direct theory, perception does not involve computations of any sort; it is the result of the direct pickup of available information. The publication of Gibson's recent book (Gibson 1979) offers an opportunity to examine his approach, and, more generally, to contrast (...) the theory of direct perception with the computational/representational view. In the first part of the present article (Sections 2direct perceptioncase study”: the problem of perceiving the three-dimensional shape of moving objects is examined. This problem, which has been extensively studied within the immediate perception framework, serves to illustrate some of the inherent shortcomings of that approach. Finally, in Section 5, an attempt is made to place the theory of direct perception in perspective by embedding it in a more comprehensive framework. (shrink)

Attempts to account for the significance of materiality for cognition should pay special attention to the vehicle in which meaning and information are embedded. Distributed cognition pays surprisingly little attention to conceptualizing the distinction between transitory and durable representations. I use the example of David Kirsh’s research to argue that the bias toward defining cognitive extensions in terms of stable objects existing in space leads to their reification. The aim of this paper is to indicate the sources of reification and (...) argue that implicit ambiguity emerges toward external representations due to an over-reified view of cognitive extensions. (shrink)

The paper justifies the concept of “thematic structure” or “order of knowledge” over the traditional “classification of sciences” due to the uncertainty of many classification criteria. The thematic structure of science has, of course, various levels and various dimensions. Arguments against any forms of separating the humanities from sciences in the traditional sense of the term are presented and discussed. Equally unacceptable are attempts at sharp separation of technical disciplines and humanities. The thematic structure of humanities is not created by (...) some material aspects but rather through the interest — or problem-oriented aspects. In addition to the natural sciences and the humanities there exists an important sphere of sciences on artefacts or, using the term by H. Simon, the sciences of the artificial. For the contemporary research activities is typical what could be denoted as “interdisciplinary or multidisciplinary complex.” The paper traces a set of epistemological criteria for the justification of the relative independence of a scientific discipline. (shrink)

The presented paper substantiates the principle that values are an immanent component of science and any rational cognitive activity. This principle belongs to the European cultural tradition starting from the book of Genesis of the Old Testament, the values of certainty in the antique Greek philosophy and Francis Bacon's coincidence of knowledge and power. Values in science form complicated structures inconnection with different types of knowledge including “the knowledge that”, empirical evidence, various types of generalizations or rules, methods, directions, algorithms, (...) “the knowledge how”, “the knowledge why” or other types of knowledge. Since the assignments of different types of values are the products of a decision-making, it is useful to distinguish many types of decision-making, especially semantic decision-making, information decision-making and decision-making with distinctly pragmatic dimensions. The values assignable to scientific activities and their results also include their social recognition, respect and prestige granted to knowledge and bearers of knowledge by society and social groups or communities. Knowledge generation and the rational and justified application of the achieved and acceptable impacts are also connected with decision-making procedures, values and criteria of social acceptance. (shrink)

The paper emphasizes the role of knowledge dimensions of an action which could be regarded as rational. Rational action usually results of specific decision — making process including selection, evaluation and acceptance of a preferred alternative. This process should integrate not only various types of knowledge but also the interdisciplinary or interdepartmental knowledge integration. The integration of knowledge may cover various forms, especially integration of knowledge relating to different domains, of different quality, of knowledge connected with different goal-orientations. The paper (...) stresses the role of the hitherto known and recognized alternatives. The integration procedures should also include the integration of various spheres and types of knowledge with accepted and justified systems of values. (shrink)

While theories of rationality and decision making typically adopt either a single-powertool perspective or a bag-of-tricks mentality, the research program of ecological rationality bridges these with a theoretically-driven account of when different heuristic decision mechanisms will work well. Here we described two ways to study how heuristics match their ecological setting: The bottom-up approach starts with psychologically plausible building blocks that are combined to create simple heuristics that fit specific environments. The top-down approach starts from the statistical problem facing the (...) organism and a set of principles, such as the bias– variance tradeoff, that can explain when and why heuristics work in uncertain environments, and then shows how effective heuristics can be built by biasing and simplifying more complex models. We conclude with challenges these approaches face in developing a psychologically realistic perspective on human rationality. (shrink)

This article introduces a framework which aims at capturing the complexity of economic organizations. The analysis of most legitimate conventions of coordination results in a new approach to the firm as a compromising device between several modes of coordination which engage different repertoires of evaluation. This contribution to the Économie des conventions offers an analytical tool to operate comparative research on firms, intermediate regulatory committees or public policies.

This paper uses the economic crisis of 2008 as a case study to examine the explanatory validity of collective mental representations. Distinguished economists such as Paul Krugman and Joseph Stiglitz attribute collective beliefs, desires, intentions, and emotions to organizations such as banks and governments. I argue that the most plausible interpretation of these attributions is that they are metaphorical pointers to a complex of multilevel social, psychological, and neural mechanisms. This interpretation also applies to collective knowledge in science: scientific communities (...) do not literally have collective representations, but social mechanisms do make important contributions to scientific knowledge. (shrink)