Lorenzo Magnani

The “origins” of (geometric) space is examined from the perspective of the so-called “conceptual space” or “semantic space”. Semantic space is characterized by its fundamental “locality” that generates an “implicit” mode of geometrizing. This view is examined from within three perspectives. First, the role that various diagrammatic entities play in the everyday life and pragmatic activities of selected ethnic groups is illustrated. Secondly, it is shown how conceptual spaces are fundamentally linked to the meaning effects of particular natural languages and these are very different from the global and universal aspects of Euclidean spaces. Thirdly, it is contended that these modes of creating body and culture-based spatial frameworks and related cosmogonies and cosmologies can be described as forms of “latent geometry” that initially appear unexplainable in any rational way. Nonetheless, and thanks to the deep mathematical reflections provided by René Thom, it is illustrated how the various ways of generating space can be further analyzed as distortions of mainstream spatialization furnished by Euclidean geometry that established the dominant universality of the ideas of space (and time).

In my opinion, it is only in the framework of a research dealing with abductive cognition that we can analyze important cognitive aspects of human and machine capacities. From the point of view of human capacities the phenomenological concept of anticipation, which is related to the problem of the spontaneous generation of spatiality and its three-dimensionality, will be central. I will describe that anticipations can be seen as types of visual and manipulative abduction and also fruitful to illustrate, in the case of human and machine capacities, the respective role of two kinds of strategic reasoning: locked and unlocked abductive strategies, which characterize the basic cognitive pro- cedure of “reading ahead”. The specificity of these contrasting inferential strategies is also related to their potentiality in producing different kinds of hypothetical outcomes, which in turn represent dissimilar levels of knowledge creativity. This diversity is also fundamental to depict the special character, the kind of creativity, and the limits of current computational deep learning AI systems, such as AlphaGo, which realize abductive cognitive processes.

Research on autonomy exhibits a constellation of variegated perspectives, from the problem of the crude deprivation of it to the study of the distinction between personal and moral autonomy, and from the problem of the role of a “self as narrator”, who classifies its own actions as autonomous or not, to the importance of the political side and, finally, to the need of defending and enhancing human autonomy. My precise concern in this article will be the examination of the role of the human cognitive processes that give rise to the most important ways of tracking the external world and human behavior in their relationship to some central aspects of human autonomy, also to the aim of clarifying the link between autonomy and the ownership of our own destinies. I will also focus on the preservation of human autonomy as an important component of human dignity, seeing it as strictly associated with knowledge and, even more significantly, with the constant production of new and pertinent knowledge of various kinds. I will also describe the important _paradox of autonomy_, which resorts to the fact that, on one side, cognitions (from science to morality, from common knowledge to philosophy, etc.) are necessary to be able to perform autonomous actions and decisions because we need believe in rules that justify and identify our choices, but, on the other side, these same rules can become (for example, as a result of contrasting with other internalized and approved moral rules or knowledge contents) oppressive norms that diminish autonomy and can thus, paradoxically, defeat agents’ autonomous capacity “to take ownership”.

This volume is based on the papers presented at the international conference Model-Based Reasoning in Science and Technology (MBR09_BRAZIL), held at the University of Campinas (UNICAMP), Campinas, Brazil, December 2009. The presentations given at the conference explored how scientific cognition, but several other kinds as well, use models, abduction, and explanatory reasoning to produce important or creative changes in theories and concepts. Some speakers addressed the problem of model-based reasoning in technology, and stressed the issue of science and technological innovation. The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in logic, science, and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers. The book is divided in three parts, which cover the following main areas: part I, abduction, problem solving, and practical reasoning; part II: formal and computational aspects of model based reasoning; part III, models, mental models, representations.

In this paper, we aim at explaining the relevance of thought experiments in philosophy and the history of science by describing them as particular instances of two categories of creative thinking: metaphorical reasoning and abductive cognition. As a result of this definition, we will claim that TEs hold an ignorance-preserving trait that is evidenced in both TEs inferential structure and in the process of scenario creation they presuppose. Elaborating this thesis will allow us to explain the wonder that philosophers of science have consistently shown for TEs, as well as the high functionality of TEs in the creative aspects of scientific and philosophical praxis.

This paper introduces an epistemological model of scientific reasoning which can be described in terms of abduction, deduction and induction. The aim is to emphasize the significance of abduction in order to illustrate the problem-solving process and to propose a unified epistemological model of scientific discovery. The model first describes the different meanings of the word abduction in order to clarify their significance for epistemology and artificial intelligence. In different theoretical changes in theoretical systems we witness different kinds of discovery processes operating. Discovery methods are "data-driven," "explanation-driven", and "coherence-driven". Sometimes there is a mixture of such methods: for example, an hypothesis devoted to overcome a contradiction is found by abduction. Contradiction, far from damaging a system, help to indicate regions in which it can be changed and improved. I will also consider a kind of "weak" hypothesis that is hard to negate and the ways for making it easy. In these cases the subject can "rationally" decide to withdraw his or her hypotheses even in contexts where it is "impossible" to find "explicit" contradictions and anomalies. Here, the use of negation as failure is illuminating.

The present collection of essays honours John Woods on the occasion of his eightieth birthday from contributors who wish to pay homage to this remarkable researcher whom they see not only as a scholar of prodigious energy and insight, but as a friend, colleague, collaborator, or former teacher. All of the essays touch upon topics Woods has taken a direct or indirect interest in, ranging from technical problems of mathematical logic and applications of formal methods through philosophical logic, philosophy of language, epistemology and history of ancient and modern logic. The sections themselves of the book cover relevance, paradoxes, inconsistency, fallacies, abduction, fictions, logic naturalized, law, argumentation and narratives, and many other topics: and represent the main research areas which have profited from Woods' reflections.

Locked and unlocked strategies are at the center of this article, as ways of shedding new light on the cognitive aspects of deep learning machines. The character and the role of these cognitive strategies, which are occurring both in humans and in computational machines, is indeed strictly related to the generation of cognitive outputs, which range from weak to strong level of knowledge creativity. I maintain that these differences lead to important consequences when we analyze computational AI programs, such as AlphaGo, which aim at performing various kinds of abductive hypothetical reasoning. In these cases, the programs are characterized by _locked_ abductive strategies: they deal with weak (even if sometimes amazing) kinds of hypothetical creative reasoning, because they are limited in what I call eco-cognitive openness, which instead qualifies human cognizers who are performing higher kinds of abductive creative reasoning, where cognitive strategies are instead _unlocked_.

Eco-cognitive computationalism considers computation in context, following some of the main tenets advanced by the recent cognitive science views on embodied, situated, and distributed cognition. It is in the framework of this eco-cognitive perspective that we can usefully analyze the recent attention in computer science devoted to the importance of the simplification of cognitive and motor tasks caused in organic entities by the morphological features: ignorant bodies can be domesticated to become useful “mimetic bodies”, that is able to render an intertwined computation simpler, resorting to that “simplexity” of animal embodied cognition, which represents one of the main quality of organic agents. Through eco-cognitive computationalism we can clearly acknowledge that the concept of computation changes, depending on historical and contextual causes, and we can build an epistemological view that illustrates the “emergence” of new kinds of computations, such as the one regarding morphological computation. This new perspective shows how the computational domestication of ignorant entities can originate new unconventional cognitive embodiments. In the last part of the article I will introduce the concept of overcomputationalism, showing that my proposed framework helps us see the related concepts of pancognitivism, paniformationalism, and pancomputationalism in a more naturalized and prudent perspective, avoiding the excess of old-fashioned ontological or metaphysical overstatements.

My book Abductive Cognition. The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning basically refers to all kinds of human hypothetical cognition, also of creative kind. During the research related to the preparation of that book I soon had the opportunity to examine the studies regarding the human process of continuous delegation and distribution of cognitive functions to the environment to lessen cognitive limitations, also and especially in the case of what has been called ‘manipulative abduction’. These design activities are closely related to the process of cognitive niche construction, which I will specifically address in this article. Niche construction should be regarded as a second major participant, after natural selection, in evolution. Indeed, by altering their environment and partly controlling some of the energy and matter fluxes in their ecosystems, organisms are capable of changing some of the natural selective pressures in their local environments. The question I plan to answer is the following: we need to hypothesize a fundamental role of non-genetic information in the evolution, but what kind of evolution could we obtain in this case? I will illustrate that in building various mediating structures, humans transform the environment and create cognitive niches. Thus, humans and other non-human animals become ecological engineers and chance seekers, involved in the processing, the alteration, and even the creation of external structures to reduce or suppress their cognitive limitations. Hence, this article will address a detailed analysis of the role of extragenetic information in evolution and what this process of selection selects for purposeful organisms, so niche-constructing ones.

I will analyse three fundamental ways of governing ignorance though abduction, which are essential from an eco-cognitive and eco-logical point of view, in which the central role in human cognition of natural and artefactual environment is taken into account. First of all, according to the so-called GW-schema, proposed by Gabbay and Woods, abduction presents an ignorance-preserving or (ignorance-mitigating) character: given the fact that the abduced hypotheses aim at becoming truths, the basic ignorance is neither solved nor left untouched. Second, I will contend that abduction is not always ignorance preserving but also knowledge enhancing. Indeed, according to the eco-cognitive model of abduction, I myself have recently proposed, we can easily see that, occasionally, knowledge can be immediately increased (and ignorance ‘killed’) through abduction: in this perspective, abduction does not have to be rigidly conceptualized as an inference to the best explanation in the received sense, which is as an inference that, to grant truth, also takes advantage of an empirical evaluation phase or an inductive phase, as Peirce classified it. Finally, it is important to stress that abductive cognition is at the roots of two fundamental cognitive processes. On one side, abductive cognition constructs (and/or takes advantage of the exploitation of) embodiments, external representations, enactions, artefacts and props, which involve ignorant entities suitably transformed in cognitive representations and/or devices. On the other side, abductive cognition dominates those ‘special’ cognitive creative processes that lead to what I call the disseminated ‘computational domestication of ignorant entities’: I will illustrate the example of the recent unconventional computational domestication of ignorant entities, which creates novel cognitive embodiments (morphological computation).

The present article is devoted to illustrate the issue of the model-based and extra-theoretical dimension of cognition from the perspective of the famous discovery of non-Euclidean geometries. This case study is particularly appropriate because it shows relevant aspects – creative – of diagrammatic cognition, which involve intertwined processes of both explanatory and non-explanatory abduction. These processes act at the model-based level taking advantage of what I call mirror and unveiling diagrams. A description of important abductive heuristics is also provided: expansion of scope strategy, Euclidean/non-Euclidean model matching strategy, consistency-searching strategy.

This excellent book, written by a reputed researcher on philosophy of science and former Chancellor of the University of Helsinki, is both difficult and rewarding. Approaching the problem of abduction from a multidisciplinary perspective, the book contends that a great part of human activity of truth-seeking is due to the hypothetical reasoning performed thanks to abductive skills. The book is the fruit of decades of rich research and collects and reorganizes various articles about abduction or related topics basically oriented by logical and epistemological interests. Hence, the volume extensively explores abductive cognition, a very important but, at least until the third quarter of the last century, neglected...

Le sentenze che oggi vengono pronunciate contro i criminali psicopatici evitano accuratamente di far leva su considerazioni “morali”. Solitamente l’attribuzione di responsabilità morale ai criminali si basa spesso sul concetto cognitivo di infermità mentale, in maniera tale che il giudizio morale sulla condotta morale dei “criminali psicopatici” in questi casi venga tendenzialmente sterilizzato. La posizione che qui vorrei proporre individua oscurità e limiti epistemici nelle teorie e nei metodi correntemente impiegati nelle società occidentali per alleggerire le responsabilità morali, le quali, pertanto, risultano in parte inaffidabili. Per supportare questa conclusione intendo far leva sui miei più recenti studi di carattere cognitivo, vertenti sulla dimensione plurale dei contesti morali, sulla co-evoluzione geni/nicchia cognitiva e sul concetto di libero arbitrio.

The process of building new hypotheses can be clarified by the eco-cognitive model (EC-Model) of abduction I have recently introduced. I will take advantage of three examples: (1) a new interpretation of Aristotle’s seminal work on abduction, which stresses the need, to build creative and selective abductive hypotheses, of a situation of eco-cognitive openness, (2) a philosophical example of building new hypotheses, in the case of phenomenology, in which we can take advantage of an abductive interpretation of the concept of adumbration and anticipation, and (3) the abductive discovery in geometry, which illustrates in both a semiotic and distributed perspective, crucial aspects of what I have called manipulative abduction. The first example will also help us to introduce the concept of optimization of the eco-cognitive situatedness as one of the main characters of the abductive inferences to new hypotheses. Thanks to these examples we can gain a new vivid perspective on the “constitutive” eco-cognitive character of building hypotheses through abduction.

Cognitive niche construction theory provides a new comprehensive account for the development of human cultural and social organization with respect to the management of their environment. Cognitive niche construction can be seen as a way of lessening complexity and unpredictability of a given environment. In this paper, we are going to analyze economic systems as highly technological cognitive niches, and individuate a link between cognitive niche construction, unpredictability and a particular kind of economic crises.

Aristotle clearly states that in syllogistic theory local/environmental cognitive factors—external to that peculiar inferential process, for example regarding users/reasoners, are given up. Indeed, to define syllogism Aristotle first of all insists that all syllogisms are valid and contends that the necessity of this kind of reasoning is related to the circumstance that “no further term from outside is needed”, in sum syllogism is the fruit of a kind of eco-cognitive immunization. At the same time Aristotle presents a seminal perspective on abduction, which contrasts with the previous one on syllogismos: the second part of the article considers the famous passage in the chapter B25 of Prior Analytics concerning ἀπαγωγή, also studied by Peirce. I contend that some of the current well-known distinctive characters of abductive cognition are already expressed, which are in tune with what I have called Eco-cognitive Model of abduction. By providing an illustration of the role of the method of analysis and of the middle terms in Plato’s dialectic argumentation, considered as related to the diorismic/poristic process in ancient geometry I maintain that it is just this intellectual heritage which informs Aristotle’ chapter B25 on ἀπαγωγή. Even if, in general, Aristotle seems to sterilize, thanks to the invention of syllogistic theory, every “dialectic” background of reasoning, nevertheless in chapter B25 he is still pointing to the fundamental inferential role in reasoning of those externalities that substantiate the process of “leading away”. Hence, we can gain a new positive perspective about the “constitutive” eco-cognitive character of abduction, just thanks to Aristotle himself.

This book employs a new eco-cognitive model of abduction to underline the distributed and embodied nature of scientific cognition. Its main focus is on the knowledge-enhancing virtues of abduction and on the productive role of scientific models. What are the distinctive features that define the kind of knowledge produced by science? To provide an answer to this question, the book first addresses the ideas of Aristotle, who stressed the essential inferential and distributed role of external cognitive tools and epistemic mediators in abductive cognition. This is analyzed in depth from both a naturalized logic and an ecology of cognition perspective. It is shown how the maximization of cognition, and of abducibility – two typical goals of science – are related to a number of fundamental aspects: the optimization of the eco-cognitive situatedness; the maximization of changeability for both the input and the output of the inferences involved; a high degree of information-sensitiveness; and the need to record the “past life” of abductive inferential practices. Lastly, the book explains how some impoverished epistemological niches – the result of a growing epistemic irresponsibility associated with the commodification and commercialization of science – are now seriously jeopardizing the flourishing development of human creative abduction.

The naturalization of logic aims at a revision of mainstream logic. In this article, I contend it is an urgent task to be completed. This new project will permit a new collaboration between logic and cognitive science. This can be accomplished doing for logic what many decades ago Quine and other philosophers undertook in the case of epistemology. First of all, this article analyzes how the naturalization can be achieved thanks to some insights provided by the recent John Woods’ book Errors of Reasoning: Naturalizing the Logic of Inference; important concepts that regard a naturalized logic are synthetically analyzed: errors, paradigm creep, third-way reasoning, consequence-having and consequence drawing, agent based reasoning. The article also takes advantage of my own studies, which are aimed both at exculpating the negative fallacious character of abduction and at illustrating the EC-model of it, I have recently proposed. Aiming at encouraging the project of naturalization of logic, the article specifically recommends the increase of logical research on abduction, and emphasizes how current philosophical and logical research on human inferences is indebted towards Charles Sanders Peirce, a philosopher whose importance and modernity are too often underestimated. The final part of the article will introduce an analysis of the importance of the so-called optimization of situatedness, a concept that is necessary to understand that maximization of “abducibility”, which characterizes modern science.

The broad aim of this paper is to question the ambiguous relationship between technology and intelligence. More specifically, it addresses the reasons why the ever-increasing reliance on smart technologies and wide repositories of data does not necessarily increase the display of “smart” or even “intelligent” behaviors, but rather increases new instances of “brutality” as a mix of ignorance and violence. We claim that the answer can be found in the cyborg theory, and more specifically in the possibility to blend different kinds of intentionality.

This article aims at commenting in a novel way on the concept of political correctness, by showing that, even if adopting a politically-correct behavior aims at promoting a precise moral outcome, violence can be still perpetrated, despite good intentions. To afford in a novel way the problem of political correctness, I will adopt a theoretical strategy that adheres to moral stoicism, the problem of “silence”, the “fascist state of the mind” and the concept of “overmorality”, which I have introduced in my book Understanding Violence. The Intertwining of Morality, Religion, and Violence: A Philosophical Stance. I will demonstrate that political correctness certainly obeys the stoic moral rule, which teaches us that we have to diminish conflicts and, so, the potential for derived violence, by avoiding to pronounce words and expressions that can be offensive and so conflict making. Unfortunately, political correctness often increases the so-called already widespread overmorality, typical of our era, and postulates too many minor moral values to be attributed to individuals and groups, which must be respected. Therefore, engaging in political correctness obscures more serious issues regarding social, political and economic life, committing a sin of abstractness and idealization. At the same time, by discouraging the use of words and expressions, the intrinsic overmoralization at work creates potential new conflicts and potential derived violence.