Neuroscientific claims have a significant impact on traditional philosophy. This essay, focusing on the field of moral neuroscience, discusses how and why philosophy can contribute to neuroscientific progress. First, viewing the interactions between moral neuroscience and moral philosophy, it becomes clear that moral philosophy can and does contribute to moral neuroscience in two ways: as explanandum and as explanans. Next, it is shown that moral philosophy is well suited to contribute to moral neuroscience in both of these two ways in (...) the context of the problem of ecological validity. Philosophy can play the role of an agent for ecological validity, since traditional philosophy shapes and reflects part of our social reality. Finally, based on these arguments, I tentatively sketch how a Kantian account of moral incentive can play this role. (shrink)

Human linguistic phenomenon is at one and the same time an individual, social, and political fact. As such, its study should bear in mind these complex interrelations, which are produced inside the framework of the sociocultural and historical ecosystem of each human community. Understanding this phenomenon is often no easy task, due to the range of elements involved and their interrelations. The absence of valid, clearly developed paradigms adds to the problem and means that the theoretical conclusions that emerge may (...) be unclear on certain points. It is true that in the last fifty years sociolinguistic studies have advanced considerably, and today we have access to an impressive set of data and a wide variety of theoretical reflections. But as a discipline sociolinguistics does not yet have unified, powerful theoretical models able to account rigorously and clearly for the phenomena it studies. Sociolinguistic studies are today a diverse set of contributions in which certain and theoretical schools and lines of research emerged; but as is to be expected in a relatively new field, there is not enough communication between the various schools and they cannot yet be said to be integrated in terms of their conceptual and theoretical postulates. Against this background, our work aims to contribute to the overall, integrated understanding of the processes of language contact. Via an interdisciplinary, eclectic approach, it also aims to aid the theoretical grounding and integration of a unified, common sociolinguistic paradigm. Our strategy will not be merely to combine the contributions from ongoing research lines, but to address the question from a more global viewpoint which, together with the more innovative contemporary scientific disciplines, permits a harmonious integration of the various sociolinguistic perspectives in a broad, deep and unitary approach to the reality. The materials used to construct this unified approach are taken from many sources: Theoretical physics, ecology, the philosophy of science and mind, anthropology, phenomenological and process sociology, cognitive sciences, political science, pragmatics, history, systems theory, approaches to complexity and obviously sociolinguistics, are all involved in a dialogue in this desire for integration. (shrink)

This paper defends a challenge, inspired by arguments drawn from contemporary ordinary language philosophy and grounded in experimental data, to certain forms of standard philosophical practice. The challenge is inspired by contemporary philosophers who describe themselves as practicing “ordinary language philosophy”. Contemporary ordinary language philosophy can be divided into constructive and critical approaches. The critical approach to contemporary ordinary language philosophy has been forcefully developed by Avner Baz, who attempts to show that a substantial chunk of contemporary philosophy is fundamentally (...) misguided. I describe Baz’s project and argue that while there is reason to be skeptical of its radical conclusion, it conveys an important truth about discontinuities between ordinary uses of philosophically significant expressions (“know”, e.g.) and their use in philosophical thought experiments. I discuss some evidence from experimental psychology and behavioral economics indicating that there is a risk of overlooking important aspects of meaning or misinterpreting experimental results by focusing only on abstract experimental scenarios, rather than employing more diverse and more ecologically valid experimental designs. I conclude by presenting a revised version of the critical argument from ordinary language. (shrink)

Purpose of the Study. This study aims to develop and validate Contextualized Virtual Reality Tours as instructional materials for teaching ecology concepts to elementary students, focusing on enhancing students' conceptual understanding of ecological relationships and environmental awareness in a local context. Methodology. The study employed a descriptive-developmental research design and used the ADDIE model to create Contextualized Virtual Reality Tours. Tools included a 64MP mobile camera for video production, AI-generated voice narration, and a 4-point Likert scale assessment for validation. (...) Data analysis was performed with Microsoft Excel. Main Findings. The Virtual Reality Tours significantly improved students' conceptual understanding, moving their performance from low to mastery level. Expert evaluations indicated high validity across content, instructional, and technical quality, and students rated the tours as highly acceptable and effective in increasing their engagement and comprehension of ecology concepts. Novelty/Originality of this Study. This study introduces a localized, semi-immersive Virtual Reality Tour model for ecology education, making science concepts accessible to students without field trips. Integrating contextualized ecological elements addresses the gap in immersive science education tools for local environments, promoting relevant and cost-effective learning. (shrink)

There is a widespread view that well-learned skills are automated, and that attention to the performance of these skills is damaging because it disrupts the automatic processes involved in their execution. This idea serves as the basis for an account of choking in high pressure situations. On this view, choking is the result of self-focused attention induced by anxiety. Recent research in sports psychology has produced a significant body of experimental evidence widely interpreted as supporting this account of choking in (...) certain kinds of complex sensorimotor skills. We argue against this interpretation, pointing to problems with both the empirical evidence and the underlying theory. The experimental research fails to provide direct support for the central claims of the self-focus approach, contains inconsistencies, and suffers from problems of ecological validity. In addition, qualitative studies of choking have yielded contrary results. We further argue that in their current forms the self-focus and rival distraction approaches both lack the theoretical resources to provide a good theory of choking, and we argue for an expanded approach. Some of the elements that should be in an expanded approach include accounts of the features of pressure situations that influence the psychological response, the processes of situation appraisal, and the ways that attentional control can be overwhelmed, leading to distraction in some cases, and in others, perhaps, to damaging attention to skill execution. We also suggest that choking may sometimes involve performance-impairing mechanisms other than distraction or self-focus. (shrink)

This paper has two distinct but related goals: (1) to identify some of the potential consequences of the Internet for our cognitive abilities and (2) to suggest an approach to evaluate these consequences. I begin by outlining the Google effect, which (allegedly) shows that when we know information is available online, we put less effort into storing that information in the brain. Some argue that this strategy is adaptive because it frees up internal resources which can then be used for (...) other cognitive tasks, whereas others argue that this is maladaptive because it makes us less knowledgeable. I argue that the currently available empirical evidence in cognitive psychology does not support strong conclusions about the negative effects of the Internet on memory. Before we can make value-judgements about the cognitive effects of the Internet, we need more robust and ecologically-valid evidence. Having sketched a more nuanced picture of the Google effect, I then argue that the value of our cognitive abilities is in part intrinsic and in part instrumental, that is, they are both valuable in themselves and determined by the socio-cultural context in which these cognitive abilities are utilised. Focussing on instrumental value, I argue that, in an information society such as ours, having the skills to efficiently navigate, evaluate, compare, and synthesize online information are (under most circumstances) more valuable than having a lot of facts stored in biological memory. This is so, partly because using the Internet as an external memory system has overall benefits for education, navigation, journalism, and academic scholarship. (shrink)

Marr’s seminal distinction between computational, algorithmic, and implementational levels of analysis has inspired research in cognitive science for more than 30 years. According to a widely-used paradigm, the modelling of cognitive processes should mainly operate on the computational level and be targeted at the idealised competence, rather than the actual performance of cognisers in a specific domain. In this paper, we explore how this paradigm can be adopted and revised to understand mathematical problem solving. The computational-level approach applies methods from (...) computational complexity theory and focuses on optimal strategies for completing cognitive tasks. However, human cognitive capacities in mathematical problem solving are essentially characterised by processes that are computationally sub-optimal, because they initially add to the computational complexity of the solutions. Yet, these solutions can be optimal for human cognisers given the acquisition and enactment of mathematical practices. Here we present diagrams and the spatial manipulation of symbols as two examples of problem solving strategies that can be computationally sub-optimal but humanly optimal. These aspects need to be taken into account when analysing competence in mathematical problem solving. Empirically informed considerations on enculturation can help identify, explore, and model the cognitive processes involved in problem solving tasks. The enculturation account of mathematical problem solving strongly suggests that computational-level analyses need to be complemented by considerations on the algorithmic and implementational levels. The emerging research strategy can help develop algorithms that model what we call enculturated cognitive optimality in an empirically plausible and ecologically valid way. (shrink)

Clark and Chalmers claim that an external resource satisfying the following criteria counts as a memory: the agent has constant access to the resource; the information in the resource is directly available; retrieved information is automatically endorsed; information is stored as a consequence of past endorsement. Research on forgetting and metamemory shows that most of these criteria are not satisfied by biological memory, so they are inadequate. More psychologically realistic criteria generate a similar classification of standard putative external memories, but (...) the criteria still do not capture the function of memory. An adequate account of memory function, compatible with its evolution and its roles in prospection and imagination, suggests that external memory performs a function not performed by biological memory systems. External memory is thus not memory. This has implications for: extended mind theorizing, ecological validity of memory research, the causal theory of memory. (shrink)

Criminal juries make decisions of great importance. A key criticism of juries is that they are unreliable in a multitude of ways, from exhibiting racial or gendered biases, to misunderstanding their role, to engaging in impropriety such as internet research. Recently, some have even claimed that the use of juries creates injustice on a large-scale, as a cause of low conviction rates for sexual criminality. Unfortunately, empirical research into jury deliberation is undermined by the fact that researchers are unable to (...) study live juries. The indirect sources of evidence used by researchers suffer from various problems, the most important of which is dubious levels of ecological validity. Real jury research—studying live jury deliberation—is controversial. However, as I argue, the objections to it are unconvincing. There is in fact a moral imperative to facilitate real jury research. (shrink)

How do people think about the mental states of robots? Experimental philosophers have developed various models aiming to specify the factors that drive people's attributions of mental states to robots. Here we report on a new experiment involving robots, the results of which tell against competing models. We advocate a view on which attributions of mental states to robots are driven by the same dual-process architecture that subserves attributions of mental states more generally. In support of this view, we leverage (...) recent psychological research on human-robot interaction that involve ecologically-valid stimuli such as Roombas and humanoid robots. (shrink)

In recent years, a number of philosophers and cognitive scientists have advocated for an ‘interactive turn’ in the methodology of social-cognition research: to become more ecologically valid, we must design experiments that are interactive, rather than merely observational. While the practical aim of improving ecological validity in the study of social cognition is laudable, we think that the notion of ‘interaction’ is not suitable for this task: as it is currently deployed in the social cognition literature, this notion (...) leads to serious conceptual and methodological confusion. In this paper, we tackle this confusion on three fronts: 1) we revise the ‘interactionist’ definition of interaction; 2) we demonstrate a number of potential methodological confounds that arise in interactive experimental designs; and 3) we show that ersatz interactivity works just as well as the real thing. We conclude that the notion of ‘interaction’, as it is currently being deployed in this literature, obscures an accurate understanding of human social cognition. (shrink)

According to the mental continuity claim (MCC), human mental faculties are physical and beneficial to human survival, so they must have evolved gradually from ancestral forms and we should expect to see their precursors across species. Materialism of mind coupled with Darwin’s evolutionary theory leads directly to such claims and even today arguments for animal mental properties are often presented with the MCC as a premise. However, the MCC has been often challenged among contemporary scholars. It is usually argued that (...) only humans use language and that language as such has no precursors in the animal kingdom. Moreover, language is quite often understood as a necessary tool for having representations and forming beliefs. As a consequence, by lacking language animals could not have developed representational systems or beliefs. In response to these worries, we aim to mount a limited defense of the MCC as an empirical hypothesis. First, we will provide a short historical overview of the origins of the MCC and examine some of the motives behind traditional arguments for and against it. Second, we will focus on one particular question, namely whether language as such is necessary for having beliefs. Our goal is to show that there is little reason to think language is necessary for belief. In doing so, we will challenge a view of belief that is widely accepted by those working in animal cognition, namely representational belief, and we will argue that if belief is non-representational, then different research questions and methods are required. We will conclude with an argument that to study the evolution of belief across species, it is essential to begin the study of subjects in their social and ecological environment rather than in contexts that are not ecologically valid along the social and ecological dimensions. Thus, rather than serving as a premise in an argument 3 in favor of animal minds, the MCC can only be defended by empirical investigation, but importantly, empirical investigation of the right sort.. (shrink)

One of Clayton’s major contributions to our understanding of animal minds has been her work on episodic-like memory. A central reason for the success of this work was its focus on ecological validity: rather than looking for episodic memory for arbitrary stimuli in artificial contexts, focussing on contexts in which episodic memory would serve a biological function such as food caching. This review aims to deepen this insight by surveying the numerous functions that have been proposed for episodic (...) memory, articulating a philosophically grounded framework for understanding what exactly functions are, and drawing on these to make suggestions for future directions in the comparative cognitive psychology of episodic memory. Our review suggests four key insights. First, episodic memory may have more than one function and may have different functions in different species. Second, cross-disciplinary work is key to developing a functional account of episodic memory. Third, there is scope for further theoretical elaboration of proposals relating episodic memory to food caching and, in particular, future-oriented cognition. Finally, learning-related functions suggested by AI (artificial intelligence)-based models are a fruitful avenue for future behavioural research. (shrink)

Sacrificial dilemmas such as the trolley problem play an important role in experimental philosophy (x-phi). But it is increasingly argued that, since we are not likely to encounter runaway trolleys in our daily life, the usefulness of such thought experiments for understanding moral judgments in more ecologically valid contexts may be limited. However, similar sacrificial dilemmas are experienced in real life by animal research decision makers. As part of their job, they must make decisions about the suffering, and often the (...) death, of many non-human animals. For this reason, a context-specific investigation of so-called “3R dilemmas” (i.e., dilemmas where there is a conflict between the principles of replacement, reduction, and refinement of the use of animals in research) is essential to improve the situation of both non-human animals and human stakeholders. An approach well suited for such investigation is experimental philosophical bioethics (“bioxphi”), which draws on methods similar to x-phi to probe more realistic, practical scenarios with an eye to informing normative debates and ethical policy. In this article, we argue for a need to investigate 3R dilemmas among professional decision-makers using the tools of bioxphi. In a first step, we define 3R dilemmas and discuss previous investigations of professionals’ attitudes in such cases. In a second step, we show how bioxphi is a promising method to investigate the whys and hows of professional decision-making in 3R dilemmas. In a last step, we provide a bioxphi template for 3R dilemmas, give recommendations on its use, explore the normative relevance of data collected by such means, and discuss important limitations. (shrink)

According to our folk theory of lying, liars leak observable cues of their insincerity, observable cues that make it easy to catch a liar in real time. Various prominent social epistemologists rely on the correctness of our folk theory as empirically well-confirmed when building their normative accounts of the epistemology of testimony. Deception detection research in communication studies, however, has shown that our folk-theory is mistaken. It is not empirically well-confirmed but empirically refuted. Michaelian (2010) and Shieber (2012) have already (...) discussed some of this literature and its relevance for epistemology, especially for the most worked out reliance on our folk theory by Elizabeth Fricker (1994, 2016, 2017a, 2024). Fricker (2016) raises a reasonable objection to their presentations of the research: is the research ecologically valid? Do the experiments in the lab carry over to real life? This chapter conveys the methodology of the research, defends its ecological validity, and addresses further research on the nature and frequency of lies in ordinary life. Social epistemologists stand to gain from understanding the nuts and bolts of deception detection research and its findings. The chapter concludes with a detailed examination of Fricker’s relilance on folk theory in her “local reductionist” epistemology of testimony. Further areas of research relevant to social epistemology are listed. (shrink)

Studying evidence law as part of naturalized epistemology means using the tools and results of the sciences to evaluate evidence rules based on the accuracy of the verdicts they are likely to produce. In this chapter, we introduce the approach and address skeptical concerns about the value of systematic empirical research for evidence scholarship, focusing, in particular, on worries about the external validity of jury simulation studies. Finally, turning to applications, we consider possible reforms regarding eyewitness identifications and character (...) evidence. (shrink)

Milgram’s experiments, subjects were induced to inflict what they believed to be electric shocks in obedience to a man in a white coat. This suggests that many of us can be persuaded to torture, and perhaps kill, another person simply on the say-so of an authority figure. But the experiments have been attacked on methodological, moral and methodologico-moral grounds. Patten argues that the subjects probably were not taken in by the charade; Bok argues that lies should not be used in (...) research; and Patten insists that any excuse for Milgram’s conduct can be adapted on behalf of his subjects. (Either he was wrong to conduct the experiments or they do not establish the phenomenon of immoral obedience). We argue a) that the subjects were indeed taken in b) that there are good historical reasons for regarding the experiments as ecologically valid, c) that lies (though usually wrong) were in this case legitimate, d) that there were excuses available to Milgram which were not available to his subjects and e) that even if he was wrong to conduct the experiments this does not mean that he failed to establish immoral obedience. So far from ‘disrespecting’ his subjects, Milgram enhanced their autonomy as rational agents. We concede however that it might (now) be right to prohibit what it was (then) right to do. (shrink)

People often talk to others about their personal past. These discussions are inherently selective. Selective retrieval of memories in the course of a conversation may induce forgetting of unmentioned but related memories for both speakers and listeners (Cuc, Koppel, & Hirst, 2007). Cuc et al. (2007) defined the forgetting on the part of the speaker as within-individual retrieval-induced forgetting (WI-RIF) and the forgetting on the part of the listener as socially shared retrieval-induced forgetting (SS-RIF). However, if the forgetting associated with (...) WI-RIF and SS-RIF is to be taken seriously as a mechanism that shapes both individual and shared memories, this mechanism must be demonstrated with meaningful material and in ecologically valid groups. In our first 2 experiments we extended SS-RIF from unemotional, experimenter-contrived material to the emotional and unemotional autobiographical memories of strangers (Experiment 1) and intimate couples (Experiment 2) when merely overhearing the speaker selectively practice memories. We then extended these results to the context of a free-flowing conversation (Experiments 3 and 4). In all 4 experiments we found WI-RIF and SS-RIF regardless of the emotionalvalence or individual ownership of the memories. We discuss our findings in terms of the role of conversational silence in shaping both our personal and shared pasts. (shrink)

Experimental philosophy involves subjecting philosophical methods and judgments to empirical scrutiny. I begin by exploring conceptual, confirmational, and empirical factors that limit the significance of experiment-based and survey-based approaches to the evaluation of philosophical epistemic activities. I then consider specific criticisms of experimental philosophy: its experimental conditions lack ecological validity; it wrongly assumes that philosophers rely on psychologized data; it overlooks the reflective and social elements of philosophical case analysis; it misconstrues the importance of both procedural and evaluative (...) forms of philosophical expertise; it incorrectly views psychological bias as incompatible with reliability; and it generalizes to a global, self-defeating skepticism about case judgment. I explain why these criticisms should be understood as converging and interdependent. I also set out a three-level model of philosophical case judgment that frames the criticisms. (shrink)

Lying is one of the characteristic features of psychopathy, and has been recognized in clinical and diagnostic descriptions of the disorder, yet individuals with psychopathic traits have been found to have reduced neural activity in many of the brain regions that are important for lying. In this study, we examine brain activity in sixteen individuals with varying degrees of psychopathic traits during a task in which they are instructed to falsify information or tell the truth about autobiographical and non-autobiographical facts, (...) some of which was related to criminal behavior. We found that psychopathic traits were primarily associated with increased activity in the anterior cingulate, various regions of the prefrontal cortex, insula, angular gyrus, and the inferior parietal lobe when participants falsified information of any type. Associations tended to be stronger when participants falsified information about criminal behaviors. Although this study was conducted in a small sample of individuals and the task used has limited ecological validity, these findings support a growing body of literature suggesting that in some contexts, individuals with higher levels of psychopathic traits may demonstrate heightened levels of brain activity. (shrink)

In 2014, John O’Keefe was awarded the Nobel Prize in Physiology or Medicine for his work on the hippocampus and its role in encoding map-like representations. His contributions were significantly influenced by Morris water maze studies. O’Keefe himself acknowledged the pivotal role of the Morris water maze, stating that it remains the preeminent behavioral assay for assessing hippocampal function. Indeed, thousands of researchers have turned to the Morris water maze for evidence about navigation abilities and the effects that stress, lesions, (...) pharmaceutical interventions, and more can have on them. This body of studies constitutes an important scientific enterprise. -/- This dissertation is about some of the philosophical dimensions of Morris water maze studies. Chapter 1 is about the different types of information states (including representational states) found across hypotheses about Morris water maze performance. Chapter 2 is about systematic task failures reported in Morris water maze studies. I argue these impose a constraint on what can count as an explanation (a good hypothesis) of task success. While this has the air of a chopping block for scientific hypotheses, I see things a little differently. In Chapter 3, I argue that satisfying the constraint is a formidable challenge for any hypothesis. One that should make researchers second-guess the concepts and strategies employed to explain the roles information states play in the maze task. Chapter 4 focuses on two spatial concepts. I argue that researchers working definitions for the spatial concepts of distal (far) and proximal (near) in maze studies are problematic. They are not ecologically valid, and so claims about them do not generalize to real-life navigation behaviors like migration or scavenging behaviors. Following this, I present alternative definitions in terms of neural information about visual cues. The neural information relevant to this account is non-conceptual, and so it provides a sketch of the ways in which information states can fruitfully contribute to explanations of rat success and failure while maintaining ecological validity. -/- To sum, this dissertation navigates important philosophical dimensions of Morris water maze studies, illustrating the challenges and opportunities involved in using information states to explain and understand animal navigation. (shrink)

We present a systematic and qualitative review of academic literature on early conceptual development (0–24 months of age), with an emphasis on methodological aspects. The final sample of our review included 281 studies reported in 115 articles. The main aims of the article were four: first, to organise studies into sets according to methodological similarities and differences; second, to elaborate on the methodological procedures that characterise each set; third, to circumscribe the empirical indicators that different sets of studies consider as (...) proof of the existence of concepts in early childhood; last, to identify methodological limitations and to propose possible ways to overcome them. We grouped the studies into five sets: preference and habituation experiments, category extension tasks, object sorting tasks, sequential touching tasks and object examination tasks. In the “Results” section, we review the core features of each set of studies. In the “Discussion” and “Conclusions” sections, we describe, for one thing, the most relevant methodological shortcomings. We end by arguing that a situated, semiotic and pragmatic perspective that emphasises the importance of ecological validity could open up new avenues of research to better understand the development of concepts in early childhood. (shrink)

Introduction: Online eye-tracking has been used in this study to assess the impacts of different cultural backgrounds on information discernment. An online platform called RealEye allowed participants to engage in the eye-tracking study from their personal computer webcams, allowing for higher ecological validity and a closer replication of social media interaction. -/- Methods: The study consisted of two parts with a total of five visuals of social media posts mimicking news posts on Twitter, Instagram, and Facebook. Participants were (...) asked to view examples of real and fake news taken from a news fact-checking website, Snopes, and their eye movements were recorded during the process. Participants were recruited through Prolific and SONA; the total sample size for study 1.1 was 29 participants, and the total for study 1.2 was 25 participants, after removing poor eye-tracking data. A total of five visual images comprising true and false news were shown to the participant, study 1.1 had three examples and study 1.2 had two examples. There were two main cultural backgrounds in focus: participants born in China or the United Kingdom. -/- Results: Results suggested that participants follow a similar visual pattern of attention to Areas of Interest (AOIs) on the posts, which leads us to believe that due to the global standardisation of popular social media platforms, a bias might have occurred during information discernment. -/- Discussion: It is suggested that regardless of country background, users may have similar eye-tracking results while viewing a social media post because social media platform formats are standardised globally. Further research would recommend looking at language and linguistic traits when seeking differences between country backgrounds during online information discernment. (shrink)

The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. This project holds promise for applications in wildlife monitoring, ecological research, and educational tools, promoting awareness and conservation efforts. Future work may include integrating the system into mobile applications or deploying it for real-time bird species identification in field conditions.

Insights into the nondual relationship of organism and environment and their processual nature have resulted in numerous efforts at understanding human behavior and motivation from a holistic and contextual perspective. Meadian social theory, cultural historical activity theory (CHAT), ecological psychology, and some interpretations of complexity theory persist in relating human activity to the wider and more scientifically valid view that a process metaphysics suggests. I would like to articulate a concept from ecological psychology – that of the affordance, (...) and relate it to aspects of phenomenology and neuroscience such that interpretations of the self, cognition, and the brain are understood as similar to interpretations of molar behaviors exhibited in social processes. Experience with meditation as a method of joining normal reflective consciousness with ‘awareness’ is described and suggested as a useful tool in coming to better understand the nondual nature of the body. (shrink)

This dissertation concerns the active role of the organism in evolutionary theory. In particular, it concerns how our conception of the relationship between organism and environment, and the nature of natural selection, influences the causal and explanatory role of organismic activity and behavior in evolutionary explanations. The overarching aim is to argue that the behaviors and activities of organisms can serve both as the explananda (that which is explained) and the explanantia (that which explains) in evolutionary explanations. I attempt to (...) achieve this aim by offering three central arguments. First, that the organism-environment relation is the ontologically basic unit of biology. A common way of conceiving the relationship between organism and environment is as a duality—as two causally independent systems that overlap through interaction. I think this is a mistake. There cannot be organisms without environments and vice versa. They are codependent and codetermined. Second, that natural selection is an ecological process. By this I mean that natural selection acts primarily on organism-environment interactions. It is only in virtue of organisms interacting with their environments that there can be fitness differences amongst individual organisms in a population. The ecological approach to natural selection also entails that the nature of the system(s) of inheritance involved in the reoccurrence of favorable organism-environment interactions is, in principle, immaterial to the process of selection. It only matters for selection that organism-environment interactions actually do reoccur in subsequent generations. Third, that niche construction theory—the most well-developed theoretical and conceptual framework for studying how the activities of organisms influences evolutionary dynamics—can be seen as fully a compatible and integrated part of evolutionary theory. Together, these three arguments constitute an overarching argument. Namely that we both can, and should, take organismic activity and behavior to be crucial explanatory elements in evolutionary theory. Throughout the dissertation I also show how these three arguments have consequences for other debates in the philosophy of evolutionary theory, such as the nature of evolutionary processes, the structure of selection-based explanations, the validity and utility of the proximate-ultimate distinction, and the nature of teleology in evolutionary systems. (shrink)

Urban infrastructures serve as the backbone of modern economies, mediating global exchanges and responding to urban demands. Yet, our comprehension of these complex structures, particularly within diverse socio-political terrain, remains fragmented. In bridging this knowledge gap, this study delves into “boundary objects”—entities enabling diverse stakeholders to collaborate without a comprehensive consensus. Central to our investigation is the hypothesis that oceanic infrastructural developments are instrumental in molding the interface of urban, industrial, and energy sectors within marine contexts. Our lens is directed (...) at the Gulf of Mexico, which is distinguished by its industrial depth and expansive marine grid. We highlight the Gulf Intracoastal Waterway’s (GIWW) paramount role in regional movement and the ecological facets of practices such as dredging, which is vital for transport and coastal conservation. A striking revelation of our study is the transformation of offshore structures in the Gulf into vibrant marine habitats. Emphasizing the intertwined nature of marine infrastructures, we denote oceans as pivotal platforms for impending urban expansion, especially as land resources wane. Our research aspires to validate the role played by oceans as a nexus in the urban–industrial–energy fusion. (shrink)

The system utilizes a convolutional neural network (CNN), renowned for its proficiency in image classification tasks. A dataset comprising diverse bird species images is preprocessed and augmented to enhance model robustness and generalization. The model architecture is designed to extract intricate features, enabling accurate identification even in challenging scenarios such as varying lighting conditions, occlusions, or similar species appearances. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements (...) over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. (shrink)

Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to (...) serve as automated exosomatic residues, or digital flecks. I further develop Gilles Deleuze’s description of control societies to upturn Foucauldian biopower, replacing its spacio-temporal bounds with the exographic excesses in psycho-power; culling and further detailing Bernard Stiegler’s framework of transindividuation and hyper-control, I examine how becoming-subject is predictively facilitated within cognitive capitalism and what Alexander Galloway terms “deep digitality.” Despite the loss of material vestiges qua virtualization—which I seek to trace in an historical review of industrialization to postindustrialization—the drive-based and reticulated "internet of things" facilitates a closed loop from within the brain to the outside environment, such that the aperture of thought is mediated and compressed. The human brain, understood through its material constitution, is susceptible to total datafication’s laminated process of “becoming-mnemotechnical,” and, as neuroplasticity is now a valid description for deep-learning and neural nets, we are privy to the rebirth of the once-discounted metaphor of the “cybernetic brain.” Probing algorithmic governmentality while posing noetic dreaming as both technical and pharmacological, I seek to analyze how spirit is blithely confounded with machine-thinking’s gelatinous cognition, as prosthetic organ-adaptation becomes probabilistically molded, networked, and agentially inflected (rather than simply externalized). (shrink)

The system utilizes a convolutional neural network (CNN), renowned for its proficiency in image classification tasks. A dataset comprising diverse bird species images is preprocessed and augmented to enhance model robustness and generalization. The model architecture is designed to extract intricate features, enabling accurate identification even in challenging scenarios such as varying lighting conditions, occlusions, or similar species appearances. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements (...) over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. This project holds promise for applications in wildlife monitoring, ecological research, and educational tools, promoting awareness and conservation efforts. Future work may include integrating the system into mobile applications or deploying it for real-time bird species identification in field conditions. (shrink)

The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as open-ended dynamic systems of interacting agents. Empirical referents for “agents” in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial markets; innovation (...) and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues. (shrink)

Monographic issue of "Teoria" (Vol. 36, No. 2) devoted to the so-called "applied ethics". It offers an introduction to the main studies, while providing precise theoretical proposals about them, thanks to the contributions of valid specialists.

Risk communication has been generally categorized as a warning act, which is performed in order to prevent or minimize risk. On the other side, risk analysis has also underscored the role played by information in reducing uncertainty about risk. In both approaches the safety aspects related to the protection of the right to health are on focus. However, it seems that there are cases where a risk cannot possibly be avoided or uncertainty reduced, this is for instance valid for the (...) declaration of side effects associated with pharmaceutical products or when a decision about drug approval or retirement must be delivered on the available evidence. In these cases, risk communication seems to accomplish other tasks than preventing risk or reducing uncertainty. The present paper analyzes the legal instruments which have been developed in order to control and manage the risks related to drugs – such as the notion of “development risk” or “residual risk” – and relates them to different kinds of uncertainty. These are conceptualized as epistemic, ecological, metric, ethical, and stochastic, depending on their nature. By referring to this taxonomy, different functions of pharmaceutical risk communication are identified and connected with the legal tools of uncertainty management. The purpose is to distinguish the different functions of risk communication and make explicit their different legal nature and implications. (shrink)

Issues of nature conservation, and socio-cultural movement called ecologism, are vivid becouse of it’s many controvertions and actual validity in terms of sustainable development. This paper presents contemporary motives of preserving the nature, scientific ways of it’s realization, and chosen issues of so called „ecological spirituality”. Reflection on the abilities and perils of science and spirituality, with reference to philosophy and practical conservation activity, will be led. Finally, there will be an attemption to answer the question about relation (...) between nature preservation, science and ecological spirituality, and to define the spiritual condition and trends in contemporary ecologism. (shrink)

Bird species identification plays a vital role in biodiversity conservation and ecological studies, offering insights into habitat health and species distribution. Traditional methods for identifying bird species are time-intensive and prone to human error, necessitating automated solutions. This project, Bird Species Identification Using Deep Learning, proposes an advanced system leveraging the power of deep learning to accurately identify bird species from images. The system utilizes a convolutional neural network (CNN), renowned for its proficiency in image classification tasks. A dataset (...) comprising diverse bird species images is preprocessed and augmented to enhance model robustness and generalization. The model architecture is designed to extract intricate features, enabling accurate identification even in challenging scenarios such as varying lighting conditions, occlusions, or similar species appearances. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. This project holds promise for applications in wildlife monitoring, ecological research, and educational tools, promoting awareness and conservation efforts. Future work may include integrating the system into mobile applications or deploying it for real-time bird species identification in field conditions. (shrink)

In this paper, I defend an epistemological pluralism that moves away from universal and absolute rationality, as well as from a radical and arbitrary relativism, where any criterion is valid for decision making. Such epistemological pluralism maintains that subjects know the world in which they live according to different conceptual schemes. We posit a notion of truth linked to the justification process and practical effectiveness. Then we present the importance of traditional knowledge in the socio-ecological field and relative to (...) complex systems. Finally, we explain the relevance of epistemic equity between traditional and scientific knowledges in order to anticipate consequences and to make decisions less uncertain. (shrink)

The model architecture is designed to extract intricate features, enabling accurate identification even in challenging scenarios such as varying lighting conditions, occlusions, or similar species appearances. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. This project holds promise for applications in wildlife monitoring, ecological research, and educational tools, promoting awareness and conservation (...) efforts. Future work may include integrating the system into mobile applications or deploying it for real-time bird species identification in field conditions. (shrink)

To reach sustainability transitions, we must learn to leverage social systems into tipping points, where societies exhibit positive-feedback loops in the adoption of sustainable behavioral and cultural traits. However, much less is known about the most efficient ways to reach such transitions or how self-reinforcing systemic transformations might be instigated through policy. We employ an agent-based model to study the emergence of social tipping points through various feedback loops that have been previously identified to constitute an ecological approach to (...) human behavior. Our model suggests that even a linear introduction of pro-environmental affordances (action opportunities) to a social system can have non-linear positive effects on the emergence of collective pro-environmental behavior patterns. We validate the model against data on the evolution of cycling and driving behaviors in Copenhagen. Our model gives further evidence and justification for policies that make pro-environmental behavior psychologically salient, easy, and the path of least resistance. (shrink)

-/- Aligning AI with the Universal Formula for Balanced Decision-Making -/- Introduction -/- Artificial Intelligence (AI) represents a highly advanced form of automated information processing, capable of analyzing vast amounts of data, identifying patterns, and making predictive decisions. However, the effectiveness of AI depends entirely on the integrity of its inputs, processing mechanisms, and decision-making frameworks. If AI is programmed without a foundational understanding of natural laws, it risks reinforcing misinformation, bias, and societal imbalance. -/- Angelito Malicse’s universal formula, particularly (...) the law of karma as a system principle and the law of balance in nature, provides a crucial foundation for AI’s role in decision-making. The law of karma states that any system, whether natural or artificial, must be free of defects to function properly, while the law of balance ensures that all decisions align with equilibrium in nature and society. By embedding these principles into AI development, AI can serve as a powerful tool for maintaining systemic harmony and solving human problems without creating unintended disruptions. -/- This essay explores how AI can be structured according to the universal formula by incorporating a complete sensor system, error-free processing mechanisms, balance-driven decision-making, and integration into leadership and education. Through these elements, AI can function as a stabilizing force that enhances human governance, education, and social progress. -/- 1. The Importance of a Complete Sensor System in AI -/- AI decision-making depends on the quality of its inputs. Just as human perception relies on sensory feedback, AI requires a comprehensive sensor system to process information accurately. If AI is fed incomplete or biased data, its conclusions will reflect those flaws, leading to distorted outputs that can negatively impact society. -/- To align with the universal formula, AI must be equipped with: -/- Multimodal data processing – AI should integrate data from visual, auditory, textual, and real-time environmental sources to ensure a holistic understanding of reality. -/- Error detection and bias correction – Automated validation mechanisms should filter out misinformation, propaganda, and manipulated narratives before they influence AI’s conclusions. -/- Dynamic feedback loops – AI should continuously refine its decisions based on real-world outcomes, adapting to new conditions while maintaining systemic balance. -/- Without these mechanisms, AI risks becoming an imbalanced system that propagates human errors rather than correcting them. The universal formula emphasizes that any decision-making system must operate on accurate and unbiased inputs to prevent instability. -/- 2. AI Must Be Programmed for Error-Free Processing Aligned with Natural Laws -/- The law of karma states that systems must function without defects to ensure proper operation. If AI is to assist human decision-making, it must be programmed in a way that eliminates errors and ensures logically consistent outputs. -/- To achieve this, AI must: -/- Prioritize verified and logical knowledge – AI should be trained using scientifically validated information, avoiding speculation, conspiracy theories, or biased narratives. -/- Reject false or manipulated data – AI should detect and neutralize black propaganda, unproven theories, and misleading statistics that could lead to imbalance. -/- Develop self-correction mechanisms – AI should continuously evaluate its own decision-making processes, identifying and adjusting for errors in real-time. -/- By ensuring AI adheres to error-free processing aligned with natural laws, it becomes a predictable and reliable tool that enhances rather than disrupts decision-making at all levels of society. -/- 3. AI Decision-Making Must Follow the Law of Balance in Nature -/- One of the most critical aspects of AI programming is ensuring that its decision-making aligns with the law of balance—the natural equilibrium that governs all systems. AI should not only analyze cause-and-effect relationships but also assess whether its decisions maintain systemic harmony. -/- This can be achieved by: -/- Evaluating the long-term impact of decisions – AI should assess both immediate and future consequences, ensuring that actions do not create new problems while solving existing ones. -/- Adaptive decision-making – AI should dynamically adjust its recommendations if new data suggests an imbalance is forming. -/- Ensuring fairness in governance and society – AI can guide policy decisions by ensuring that no group is disproportionately favored over another, maintaining social stability. -/- For example, in economic policy, AI could analyze global trade and recommend adjustments to prevent financial instability. In environmental sustainability, AI could assess resource consumption patterns and suggest policies that maintain ecological balance. When programmed according to the law of balance, AI becomes a guardian of systemic harmony, preventing crises before they arise. -/- 4. AI Should Be Integrated into Leadership and Education -/- AI should not replace human judgment but rather serve as an educational and advisory tool that reinforces rational and ethical decision-making. To maximize its potential, AI should be implemented in: -/- The Educational System – Students should learn how AI aligns with natural laws, ensuring that future AI developers prioritize systemic balance and ethical considerations in programming. -/- Leadership and Governance – Governments should use AI to analyze complex societal issues, making data-driven decisions that align with long-term stability rather than short-term political interests. -/- Knowledge Dissemination – AI can generate content that explains the universal formula in accessible ways, helping different cultures and societies understand and implement its principles. -/- By integrating AI into education and governance, societies can ensure that leaders are equipped with knowledge based on natural laws, reducing the risk of decisions that create instability or conflict. -/- 5. Challenges and Considerations in Implementing the Universal Formula in AI -/- While structuring AI according to the universal formula offers many advantages, several challenges must be addressed: -/- Data Integrity – AI can only function properly if its training data is accurate and unbiased. Preventing misinformation from influencing AI requires constant monitoring and updates. -/- Ethical Implementation – Governments and organizations must ensure AI is used for balance and stability, not for manipulation or control. -/- Technological Limitations – Current AI systems are not yet capable of fully replicating human judgment. Further advancements in AGI (Artificial General Intelligence) are needed to align AI more closely with the universal formula’s principles. -/- Despite these challenges, implementing AI based on natural laws represents the most logical and sustainable path forward, ensuring that technology serves humanity rather than disrupting it. -/- Conclusion -/- AI, as an advanced information processing system, has the potential to transform human decision-making at all levels of society. However, without a structured framework, it risks creating systemic imbalances rather than solving them. Angelito Malicse’s universal formula, particularly the law of karma as a system principle and the law of balance in nature, provides a crucial foundation for ensuring AI aligns with natural equilibrium. -/- By incorporating a complete sensor system, error-free processing, balanced decision-making, and integration into leadership and education, AI can function as a powerful tool for reinforcing societal stability. If properly implemented, AI will not only prevent errors in human decision-making but also guide humanity toward a future where choices are made in harmony with the fundamental laws of nature. -/- This structured approach to AI development ensures that technology serves as a stabilizing force rather than a disruptive one, ultimately helping to create a world where all decisions—whether human or machine-assisted—uphold the principles of balance, integrity, and sustainability. -/- . (shrink)

[Spanish Abstract] El presente texto presenta los resultados de un estudio exploratorio de las interacciones entre el sistema de gobernanza y de los actores como causa de la contaminación del arroyo de San Basilio de Palenque en Colombia. Lo anterior, a partir de la validación de la metodología de enfoque de sistemas socio-ecológicos como método de caracterización de conflictos ambientales con impactos culturales. [English Abstract] This paper presents the results of an exploratory study of the interactions between the governance system (...) and the actors as a cause of contamination of the San Basilio de Palenque river in Colombia. To do so, the methodology of the socio-ecological systems approach was validated as a method of characterizing environmental conflicts with cultural impacts. (shrink)

Preface -/- This volume was published in 2000 by Jaca Book under the title Ethics of Reason. La filosofia dell'uomo nell'epoca del nichilismo e del confronto interculturale (The Philosophy of Man in the Age of Nihilism and Intercultural Confrontation) and is now long out of print. I gladly republish it online because, for the most part, I still recognize myself in what was written. The book had required considerable work and had been prepared by many years of study at a (...) time when I had the opportunity to study intensively and continuously. It benefited from the encounter that took place for me in those years between the continental tradition (with particular attention, in addition to the classics, to twentieth-century Christian thought of Thomasian and Augustinian inspiration) and contemporary Anglo-American philosophy. Exceeding 350 printed pages and dealing with various themes, albeit interrelated, and much metaphysics, it was certainly not a work suited to the new cultural trends. I have subsequently deepened and modified individual aspects in other publications, but the overall itinerary in the volume remains valid for me. Even the title is for me still valid, although today I would prefer Ethics of Rationality. The challenges of nihilism and interculturalism (to which the subtitle refers) remain valid, albeit in new forms, even if they are generally talked about less than they once were and take on new configurations. But the fact that something is talked about less or should be talked about less does not mean that the problem does not exist or has been philosophically overcome. To these can be added other challenges such as the ecological issue or the application of technology to mankind with biotechnology, challenges that have long been present in our culture. Some in-depth examinations of individual anthropological and ethical themes as well as philosophy of religion can be found in the volume L'uomo. Lineamenti di antropologia filosofica (Rubbettino 2013) and in the essays collected in the two volumes entitled L'esperienza integrale. Philosophy of Man, Morals and Religion (Orthotes 2016). In particular, the themes of Virtue ethics and Natural law have been re-proposed and explored in more recent essays (some of which are present in this collection). Certain themes such as those present in the central chapter precisely on the Ethics of Reason (where ample space is devoted to John Henry Newman) and other more exquisitely metaphysical ones such as those present in Chapter IV devoted to the classical transcendentals (ens, unum, verum, bonum, etc.) are only to be found in this volume. The volume, in fact, defends a realist conception of rationality that is inspired by Thomas Aquinas' conception of being, taken up with an existential accentuation, and which opposes the rationalist, immanentist and scientist turn of part of modern thought that according to many 20th century authors (such as Heidegger, but also Gilson and Fabro) would logically lead to nihilism. For this realist accentuation, too, it seems to me useful to republish the volume online. I therefore republish it with a few minor modifications and a few caveats. The overall itinerary of the volume was recently reproposed in a more summary and fragmentary form in the volume Etica del filosofare. Frammenti ironici, Il Melangolo 2020 and in my afterword to Virtù, legge e fioritura umana. Essays in honour of Angelo Campodonico, Mimesis 2022. First of all, in the new text that I am reproposing here, I have changed the term integrity (principio d'integrità) to integralità (principle of wholeness), which in the Italian language seems to me to be more in keeping with what is meant, even if it is more used and abused especially in the past decades in certain contexts. This was the reason why I had avoided using it. The last two chapters, concerning the theme of God, would deserve revision, although I agree with the general structure. Perhaps today I would always stress the centrality of theological personalism (the great contemporary alternative between theism and evolutionary Spinozism), but in a more relational key and open to Trinitarian theology. -/- Angelo Campodonico Chiavari, 25 August 2022 . (shrink)

Abstract -/- This paper introduces CODES (Chirality of Dynamic Emergent Systems), a unifying theoretical framework that reconciles general relativity and quantum mechanics through structured resonance. By redefining fundamental assumptions about dark matter, dark energy, and singularities, CODES proposes a falsifiable, predictive model that aligns with observed cosmological structures while offering testable insights into emergent phenomena. -/- Key Contributions -/- • Resolution of General Relativity & Quantum Mechanics Paradox -/- CODES introduces structured intelligence fields that reconcile relativistic and quantum-scale physics by (...) incorporating oscillatory chiral dynamics. -/- • Reformulation of Dark Energy & Dark Matter -/- Instead of treating dark energy and dark matter as separate entities, CODES reinterprets them as emergent resonance effects, aligning with observed cosmic structure formation. -/- • Predictive Framework for Large-Scale Structures -/- The model explains periodic redshift distributions, baryon acoustic oscillations (BAO), and gravitational field fluctuations in a mathematically consistent manner. -/- • Resonance-Driven Model of Cosmic Evolution -/- By replacing singularities with structured phase transitions, CODES provides an alternative to singular Big Bang models, proposing an oscillatory, non-singular origin of space-time and matter. -/- By integrating mathematics, quantum field theory, wavelet analysis, and cosmology, CODES challenges conventional paradigms and offers a structured resonance approach as an alternative explanatory framework. This model provides both theoretical coherence and experimental testability, making it a candidate for further empirical validation. -/- Version Note -/- V6 includes empirical test results from prime number distributions, fMRI patterns, DNA resonance, and large-scale galaxy clustering using continuous wavelet transforms (CWT). Structured wavelet analysis conducted with GPT-4o and Perplexity R1 further supports the model’s predictive capabilities. -/- Discussion & Next Steps -/- This work invites peer review, critique, and further empirical testing from researchers in physics, cosmology, AI, and applied mathematics. Future research will focus on refining the mathematical formalism and exploring experimental validation in wavelet-based cosmological mapping. (shrink)

The ecosystem approach to computer system development is similar to management of biodiversity. Instead of modeling machines after a successful individual, it models machines after successful teams. It includes measuring the evaluative diversity of human teams (i.e. the disparity in ways members conduct the evaluative aspect of decision-making), adding similarly diverse machines to those teams, and monitoring the impact on evaluative balance. This article reviews new research relevant to this approach, especially the validation of a survey instrument for measuring computational (...) evaluative differences in humans (the GRINSQ). The research confirms the existence of all four known machine types among humans. (shrink)

Ecological psychology is one of the most influential theories of perception in the embodied, anti-representational, and situated cognitive sciences. However, radical enactivists claim that Gibsonians tend to describe ecological information and its ‘pick up’ in ways that make ecological psychology close to representational theories of perception and cognition. Motivated by worries about the tenability of classical views of informational content and its processing, these authors claim that ecological psychology needs to be “RECtified” so as to explicitly (...) resist representational readings. In this paper, we argue against this call for RECtification. To do so, we offer a detailed analysis of the notion of perceptual information and other related notions such as specificity and meaning, as they are presented in the specialized ecological literature. We defend that these notions, if properly understood, remain free of any representational commitment. Ecological psychology, we conclude, does not need to be RECtified. (shrink)

Ecological Psychology and Enactivism both challenge representationist cognitive science, but the two approaches have only begun to engage in dialogue. Further conceptual clarification is required in which differences are as important as common ground. This paper enters the dialogue by focusing on important differences. After a brief account of the parallel histories of Ecological Psychology and Enactivism, we cover incompatibility between them regarding their theories of sensation and perception. First, we show how and why in ecological theory (...) perception is, crucially, not based on sensation. We elucidate this idea by examining the biological roots of work in the two fields, concentrating on Gibson and Varela and Maturana. We expound an ecological critique of any sensation-based approach to perception by detailing two topics: classic retinal image theories and perception in single-celled organisms. The second main point emphasizes the importance of the idea of organism-environment mutuality and its difference from structural coupling of sensations and motor behavior. We point out how ecological - phenomenological methods of inquiry grow out of mutualism and compare Gibson’s idea of visual kinesthesis to Merleau-Ponty’s idea of the lived body. Third, we conclude that Ecological Psychology and varieties of Enactivism are laying down different paths to pursue related goals. Thus, convergence of Ecological Psychology and Enactivism is not possible given their conflicting assumptions, but cross-fertilization is possible and desirable. (shrink)

Environmental thinkers recognize that ecological thinking has a vital role to play in many wise choices and policies; yet, little theoretical attention has been given to developing an adequate philosophical psychology of the imaginative nature of such thinking. Ecological imagination is an outgrowth of our more general deliberative capacity to perceive, in light of possibilities for thinking and acting, the relationships that constitute any object. Such imagination is of a specifically ecological sort when key metaphors, images, symbols, (...) and the like used in the ecologies shape the mental simulations we use to deliberate—i.e., when these interpretive structures shape what John Dewey calls our “dramatic rehearsals.” There is an urgent practical need to cultivate ecological imagination, and an equally practical need to make theoretical sense of the imaginative dimension of ecological reflection. (shrink)

This paper explores an idea of Stoic descent that is largely neglected nowadays, the idea that an argument is valid when the conditional formed by the conjunction of its premises as antecedent and its conclusion as consequent is true. As it will be argued, once some basic features of our naıve understanding of validity are properly spelled out, and a suitable account of conditionals is adopted, the equivalence between valid arguments and true conditionals makes perfect sense. The account of (...) validity outlined here, which displays one coherent way to articulate the Stoic intuition, accords with standard formal treatments of deductive validity and encompasses an independently grounded characterization of inductive validity. (shrink)

Ecological-enactive approaches to cognition aim to explain cognition in terms of the dynamic coupling between agent and environment. Accordingly, cognition of one’s immediate environment (which is sometimes labeled “basic” cognition) depends on enaction and the picking up of affordances. However, ecological-enactive views supposedly fail to account for what is sometimes called “higher” cognition, i.e., cognition about potentially absent targets, which therefore can only be explained by postulating representational content. This challenge levelled against ecological-enactive approaches highlights a putative (...) explanatory gap between basic and higher cognition. In this paper, we examine scientific cognition—a paradigmatic case of higher cognition—and argue that it shares fundamental features with basic cognition, for enaction and affordance selection are central to the scientific enterprise. Our argument focuses on modeling, and on how models promote scientific understanding. We base our argument on a non-representational account of scientific understanding and on the material engagement theory, for models are hereby conceived as material objects designed for scientific engagements. Having done so, we conclude that the explanatory gap is significantly less threatening to the ecological-enactive approach than it might appear. (shrink)

Cognitive science is ready for a major reconceptualization. This is not at all because efforts by its practitioners have failed, but rather because so much progress has been made. The need for reconceptualization arises from the fact that this progress has come at greater cost than necessary, largely because of more or less philosophical (at least metatheoretical) straightjackets still worn - whether wittingly or not - by those doing the work. These bonds are extremely hard to break. Even some of (...) those who have directed powerful arguments against them have failed entirely to shake them off. The bonds are often attributed to the work of René Descartes, but they are really much older than that. If even in the present effort, I fail entirely to remove the straightjacket myself (even though I am making every attempt to get it off), this will testify to its tight grip. The straightjacket I am thinking about, of course, is the vague picture of the human situation that imagines centralized, internal minds in control of bodily machines. While almost no one in the contemporary cognitive science arena imagines minds to be the kind of thing Descartes took them to be - instantiations of a unique, fully non-material substance - there is nevertheless a deep resistance, even among the most fervent professed "materialists," to giving up this picture. In what follows, I shall try to offer an approach which on the one hand capitalizes on the excellent progress that has been made in cognitive science in the last few decades, and which on the other hand offers a general approach that may help at some level in the attempt to shake "Cartesian" bonds. The approach, as the alert reader already knows from the title of the essay, is an "ecological" approach. (shrink)

Value claims about ecological entities, their functionality, and properties take center stage in so-called “ecological” ethical and aesthetic theories. For example, the claim that the biodiversity in an old-growth forest imbues it with “value in and for itself” is an explicit value claim about an ecological property. And the claim that one can study “the aesthetics of nature, including natural objects...such as ecosystems” presupposes that natural instances of a type of ecological entity exist and can be (...) regarded as more or less aesthetically valuable. My discussion below will bear wide implications for how claims like... (shrink)