(See also the separate entry for the volume itself.) This introduction has three parts. The first providing an overview of some main lines of research in deontic logic: the emergence of SDL, Chisholm's paradox and the development of dyadic deontic logics, various other puzzles/challenges and areas of development, along with philosophical applications. The second part focus on some actual and potential fruitful interactions between deontic logic, computer science and artificial intelligence. These include applications of deontic logic to AI knowledge representation (...) in legal systems, to modelling computer systems where it is expected that sub-ideal states will emerge and require countermeasures, to norm-governed human interactions with computer systems, and to the representation of some features of multi-agent systems where different agent-like computer systems interact with one another. The third and final part briefly groups and previews the papers in the anthology. (shrink)

Scientific articles have been traditionally written from single points of view. In contrast, new knowledge is derived strictly from a dialectical process, through interbreeding of partially disparate perspectives. Dialogues, therefore, present a more veritable form for representing the process behind knowledge creation. They are also less prone to dogmatically disseminate ideas than monologues, alongside raising awareness of the necessity for discussion and challenging of differing points of view, through which knowledge evolves. Here we celebrate 250 years since the discovery of (...) the chemical identity of the inorganic component of bone in 1769 by Johan Gottlieb Gahn through one such imaginary dialogue between two seasoned researchers and aficionados of this material. We provide the statistics on ups and downs in the popularity of this material throughout the history and also discuss important achievements and challenges associated with it. The shadow of Samuel Beckett’s Waiting for Godot is cast over the dialogue, acting as its frequent reference point and the guide. With this dialogue presented in the format of a play, we provide hope that conversational or dramaturgical compositions of scientific articles—albeit virtually prohibited from the scientific literature of the day—may become more pervasive in the future. (shrink)

This paper looks beyond the mostly technical and business issues that currently inform the design of knowledge-based systems (e.g., expert systems) to point out that there is also a social and organisational (a socio-organisational) dimension to the issues affecting the design decisions of expert systems and other information technologies. It argues that whilst technical and business issues are considered before the design of Expert Systems, that socio-organisational issues determine the acceptance and long-run utility of the technology after it has been (...) implemented. It shows how four issues within the organisation can affect the design or the after-effects of the design and implementation of the technology. It also shows how the four issues can be considered within the structured phases of expert system development. (shrink)

Contemporary philosophical discussions about technology mirror a profound distance between technical practice and moral thought. I consider the origins of this gap as reflected in both ancient and modern writings. The philosopher's version of technocracy ? rushing forward with the analysis of moral categories in the hope that policy?makers or the public will find them decisive ? does nothing to bridge this gap and is, therefore, a forlorn strategy. The trouble is not that we lack good arguments and theories, but (...) rather that modern politics does not provide appropriate roles and institutions in which the activity of defining the common good in technology policy is a legitimate project. I find glimmerings of an alternative practice in the ?Scandinavian approach? to democratic participation in technological design. (shrink)

This article concerns the curriculum of computer literacy (CL). A strong sense of technical necessity informs the design of the CL curriculum, and as a result, instruction is inadequate at best and dehumanizing at worst. CL curriculum and instruction are informed by a sense of technical determinism and a particular form of masculinity. This article draws mainly from the sociology of education, supplemented by personal observation. The article has two implications. First, to reduce the failure and frustration that many feel (...) as they attempt to become computer literate, greater attention ought to be given in CL curriculum design to the concept of learning as enculturation and to cognitive context. Second, to counter the sense of necessity that leads designers and others to ignore culture and context, the formal CL curriculum must give serious attention to the social construction of educational technology/technique, especially the in fluence of gender. (shrink)

In a world that is becoming more ‘networked’ than ever, especially on the personal-everyday level—with for example digital media pervading our lives and the Internet of Things now being on the rise—we need to increasingly account for ‘networked realities’. But are we as human beings actually well-equipped enough, epistemologically speaking, to do so? Multiple approaches within the philosophy of technology suggest our usage of technologies to be in the first instance oriented towards efficiency and the achievement of goals. We thereby (...) neglect the actual systemic, networked nature of technology, or its wider impacts. With regard to the pressing issue of how to cross the ‘gap’ between these two ‘modes,’ the paper at hand engages with the work of Gregory Bateson, reading him as a philosopher of technology. Bateson’s notions of “conscious purpose” and “learning” offer excellent tools to understand our predicament of living in a networked world but being partly unable to sufficiently grasp and come to terms with this situation. Moreover, as the article endeavors to demonstrate, Bateson’s thought is to be cast as a crucial addition to the body of theory being developed in the philosophy of technology. (shrink)

In the past few hundred years, science has exerted an enormous influence on the way the world appears to human observers. Despite phenomenal accomplishments of science, science nowadays faces numerous challenges that threaten its continued success. As scientific inventions become embedded within human societies, the challenges are further multiplied. In this critical review, some of the critical challenges for the field of modern chemistry are discussed, including: (a) interlinking theoretical knowledge and experimental approaches; (b) implementing the principles of sustainability at (...) the roots of the chemical design; (c) defining science from a philosophical perspective that acknowledges both pragmatic and realistic aspects thereof; (d) instigating interdisciplinary research; (e) learning to recognize and appreciate the aesthetic aspects of scientific knowledge and methodology, and promote truly inspiring education in chemistry. In the conclusion, I recapitulate that the evolution of human knowledge inherently depends upon our ability to adopt creative problem-solving attitudes, and that challenges will always be present within the scope of scientific interests. (shrink)

Presented is a discourse on the contextual nature of physical qualities. The realistic and observational contexts in which a system exists are demonstrated as equally involved in defining its qualities. Each quality could be consequently considered as natural and experiential at the same time. The subsequently proposed thesis of the contextual co-definition of natural/experiential qualities in the relationship between the human mind and Nature is shown to possess numerous favorable ethical and aesthetical implications. The contextual nature of experiential qualities is (...) further correlated with the holistic character of natural systems and events, which is illustrated by several real-life examples. A systemic approach to knowledge is shown to naturally emanate from the acceptance of the contextual definition of physical qualities and the holistic nature of experiences. Methodological problems of the standard, reductionist explanatory frameworks are additionally discussed with an emphasis on the major descriptive flaws of quantificational approaches and in respect to cybernetic and autopoietic organization of physical and biological systems. (shrink)

Scientific method is presented not as a means for investigating a true and objective character of universal reality, but as a metaphorical tool applied for mutual co-ordination of experiences. By acknowledging the co-orientational and metaphoric roots of science, religion, arts, and ordinary linguistic communications alike, potential for their fruitful interdependent application becomes apparent. References to the paradigms of constructivism and objectivism are drawn in parallel in outlining the tracks along which the proposed concept of co-creation of experiential qualities is arrived (...) at. Systemic reasoning based on analogies between different levels of complexity of natural systems emanates as an imaginative aspect of creative thinking. (shrink)

Each type of learning is proposed as being a three-stage process, composed of: (i) recognition of a perceptual situation and performance of an action corresponding thereto; (ii) observation of a deviation of the action result from an expected outcome; (iii) re-arrangement of the conceptual framework of reasoning to meaningfully assimilate the observed deviation. In order to evaluate a general, systemic significance of the concept of learning proposed hereby, the latter is assessed from perspectives that correspond to diverse levels of organizational (...) complexity of Nature. Thermodynamic concepts, constructivist and autopoietic frameworks of analysis of cognitive phenomena, and the aspects of social sciences are intertwined so as to support the all-encompassing meaning of the general pathways of learning proposed herein. Numerous ethical consequences, with a particular emphasis on educational approaches, are derived from accepting such a general nature of learning and development. Naturally implied dialectical form of evolution, according to which prosperous and favorable features of human creativity arise solely from problem-solving situations, is further discussed. (shrink)

Engagement is important to the success of applications, systems and artefacts as diverse as robotics, pedagogy, games, interactive installations, and virtual reality applications. Yet engagement has proved to be remarkably difficult to define as it can take many forms, so many that it is difficult to isolate what these different instantiations have in common. Instead of pursuing an empirical perspective, the human side of engagement, namely, involvement is considered from a broadly Heideggerian perspective. As Heidegger has a deserved reputation for (...) philosophical obscurity, all of the concepts adopted from his work are mapped onto the more familiar languages and vocabularies of psychology, human–computer interaction and cognitive science. It is argued that technology is engaging and our response to it is to be involved (with it). This resulting involvement–engagement dyad is thus an explicitly holistic account recognising roles for affordance, purpose, identity, affect and embodiment. (shrink)

Cognitively-oriented theories have dominated the recent history of the study of emotion. However, critics of this perspective suggest the role of the body in the experience of emotion is largely ignored by cognitive theorists. As an alternative to the cognitive perspective, critics are increasingly pointing to William James’ theory, which emphasized somatic aspects of emotions. This emerging emphasis on the embodiment of emotions is shared by those in the field of AI attempting to model human emotions. Behavior-based agents in AI (...) are attempts to model the role the body might play in the experiencing of emotions. Progress in creating such behavior-based models that function in their environments has been slow, suggesting some potential problems with Jamesian alternatives to cognitive perspectives of emotions. Heidegger’s and Merleau-Ponty’s conceptions of embodiment are suggested as alternatives to James’ and as means for addressing the shortcomings of the cognitive perspective. (shrink)

Abstract A survey of different senses of the term ?representation? is presented. The presentation is guided by the appraisal that this key term is employed in the cognitive literature in different senses and that the distinction between these is not always explicitly stated or appreciated. Furthermore, the different senses seem to be associated with different rationales for the postulation of representation. Given that there may be a lack of convergence between the various senses of the construct in question and the (...) rationales for its postulation, a clear differentiation of these may be crucial for any evaluation of the role of representations in cognition and in cognitive theory. (shrink)

In their critique of connectionist models Fodor and Pylyshyn (1988) dismiss such models as not being cognitive or psychological. Evaluating Fodor and Pylyshyn's critique requires examining what is required in characterizating models as 'cognitive'. The present discussion examines the various senses of this term. It argues the answer to the title question seems to vary with these different senses. Indeed, by one sense of the term, neither representa-tionalism nor connectionism is cognitive. General ramifications of such an appraisal are discussed and (...) alternative avenues for cognitive research are suggested. (shrink)

In this paper, we explore a rationalistic orientation in Western society. We suggest that this orientation is one of the predominant ways in which Western society tends to frame, understand and deal with a majority of problems and questions – namely in terms of mathematical analysis, calculation and quantification, relying on logic, numbers, and statistics. Our main goal in this paper is to uncover the affective structure of this rationalistic orientation. In doing so, we illustrate how this orientation structures the (...) way not only individuals but society as a whole frames and solves problems. We firstly point towards some exemplary instances of the rationalistic orientation, specifically regarding science, society, and lifeworld practice. Crucially, we argue that the rationalistic orientation is not merely based on a set of beliefs we could easily correct; but rather, that it is an affective condition tacitly shaping our engagement with the world in an encompassing way. Relating to the work of Martin Heidegger, we argue that what we have called an orientation in the beginning is in fact a rationalistic attunement. This attunement fundamentally shapes the pre-reflective level of how individuals approach the world. We elaborate this claim by showing how the rationalistic attunement concretely manifests in tangible socio-material affect dynamics. In the end, we motivate a critical stance towards this attunement, providing the ability to reflect upon and question instances where this way of framing and solving problems is counterproductive. (shrink)

With reference to Mead, Peirce, speech act theory, conversation analysis, and Luhmann's phenomenological grounded version of systems theory, the paper tries to reconstruct actions as products of communication. A triadic sequence is identified as the elementary unit for the intersubjective constitution of an act. This unit combines three achievements: (a) the constitution of meaning by sequential attribution, (b) the intersubjective coordination of attributed meanings, and (c) the reproduction of rules, guiding the process of constitution and coordination of attributed meanings. Then, (...) using the tools of systems theory and applying them to empirical results of ethnomethodology and conversation analysis, it is shown how the rule scheme is integrated in a triadic sequence, functioning on three different levels of communication. Finally, a specific form of repair after next turn is discussed, relating it to the function of preserving the structure of conversational types. The analysis of such conversational types opens a possible realm of cooperation between conversation analysis and Luhmann's version of systems theory. (shrink)

In this article, I establish a theory of knowledge approach for evaluating the use of computers for educational purposes at the university. In so doing, I trace part of the history of the “enabling factor” of Artificial Intelligence in this sector, an important element that has been integrated into everyday learning environments. The result of my reflection is a dialogical structure, directly inspired by past technology assessment research, which illustrates the conceptual advancement of researchers in the field of learning technologies. (...) The notions covered have implications in future policy-related discourse with regards to education. (shrink)

In a future world of ubiquitous computing, in which humans interact with computerized technologies even more frequently and in even more situations than today, interface design will have increased importance. One feature of interface that I argue will be especially relevant is what I call abstract relational strategies. This refers to an approach (in both a bodily and conceptual sense) toward the use of a technology, an approach that is general enough to be applied in many different concrete scenarios. Such (...) an abstract manner of approach is relevant, for example, when an interface design for a device to which users are already accustomed is applied to an entirely different device (such as a device used for a completely different purpose). To articulate this idea, I explore the history of keyboards, and consider how the habits of interface with one kind (e.g., piano keyboards) have historically enabled some users to approach other technologies fitted with similar keyboard interface (e.g., typewriters, electronic instrumentation). I conclude by brainstorming ways that abstract relational strategies, applicable to a variety of different devices, will have increased importance in a future world in which computing is even more ubiquitous than today. (shrink)

Four criteria are discussed as important conditions of successful applications in Computer Supported Co-operative Work (CSCW). They are equality, mutual influence, new competence, and double-level language. The criteria originate in the experience of the International Co-operative Movement. They are examined and illustrated withreference to eight contemporary CSCW applications: meeting scheduling and support; bargaining; co-authoring; co-ordination; planning; design support and collaborative design.

Bergson’s model of time (1889) is perhaps the proto-phenomenological theory. It is part of a larger model of mind (1896) which can be seen in modern light as describing the brain as supporting a modulated wave within a holographic field, specifying the external image of the world, and wherein subject and object are differentiated not in terms of space, but of time. Bergson’s very concrete model is developed and deepened with Gibson’s ecological model of perception. It is applied to the (...) problems of consciousness, direct realism, qualia and illusions. The model implies an entirely different basis for memory and cognition, and a brief overview is given for the basis of direct memory, compositionality and systematicity. (shrink)

Abstract Cognitivism, presently the major paradigm of psychology, presents a scientific account of mental life. Buddhism also presents an account of mental life, but one which is integral with its wider ethical and transcendental concerns. The postmodern appraisal of science provides a framework within which these two accounts may be compared without inheriting many of the assumed oppositions between science and religion. It is concluded that cognitivism and Buddhism will have complementary roles in the development of a more pluralist psychological (...) science. In this development it will be necessary to address what values are implicit in science. (shrink)

This paper considers the impact of the AI R&D programme on human society and the individual human being on the assumption that a full realisation of the engineering objective of AI, namely, construction of human-level, domain-independent intelligent entities, is possible. Our assumption is essentially identical tothe maximum progress scenario of the Office of Technology Assessment, US Congress.Specifically, the first section introduces some of the significant issues on the relational nexus among work, education and the human-machine boundary. In particular, based on (...) a Russellian conception of rationality I briefly argue that we need to change our related conceptions of work, employment and free time, through a new human-centred education. On the human-machine boundary problem, I make a couple of tentative suggestions and put forward some crucial open questions.Section two discusses the impact of the emerging machine intelligence on human nature both as modification of its self-image, keeping human nature itself unchanged, and its potential for altering human nature itself. I briefly argue that: (i) in a certain context, the question of the supremacy or uniqueness of human intelligence loses much, if not all, of its ‘weight’; and (ii) appearance of Robot-X species would immortalise the human spirit. (shrink)

In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We show that in a first step (...) it is necessary to study and investigate the different levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. Only if designers have achieved some understanding about these representational mechanisms, user interfaces enabling individual experiences and skill development can be designed. In this paper we review mechanisms and processes for knowledge representation on a conceptual, epistemological, and methodologieal level, and sketch some ways out of the identified dilemmas for cognitive modeling in the domain of human-computer interaction. (shrink)

The emperor's new mind (hereafter Emperor) is an attempt to put forward a scientific alternative to the viewpoint of according to which mental activity is merely the acting out of some algorithmic procedure. John Searle and other thinkers have likewise argued that mere calculation does not, of itself, evoke conscious mental attributes, such as understanding or intentionality, but they are still prepared to accept the action the brain, like that of any other physical object, could in principle be simulated by (...) a computer. In Emperor I go further than this and suggest that the outward manifestations ofconscious mental activity cannot even be properly simulated by calculation. To support this view, I use various arguments to show that the results of mathematical insight, in particular, do not seem to be obtained algorithmically. The main thrust ofthis work, however, is to present an overview ofthe present state of physical understanding and to show that an important gap exists at the point where, quantum and classical physics meet, as well as to speculate on how the conscious brain might be taking advantage ofwhatever new physics is needed to fill this gap to achieve its nonalgorithmic effects. (shrink)

In this paper I shall describe the symbolic search space paradigm which is the dominant model for most of AI. Coupled with the mechanisms of logic it yields the predominant methodology underlying expert systems which are the most successful application of AI technology to date. Human decision making, more precisely, expert human decision making is the function that expert systems aspire to emulate, if not surpass.Expert systems technology has not yet proved to be a decisive success — it appears to (...) fare better in some areas of human expertise than others. As a result subdomains of human expertise are variously categorised and we shall examine a few of the suggested classification schemes. A particular line of argument explored is one which maintains that certain types of human decision making, at least, are not adequately approximated by the symbolic search space paradigm of AI. Furthermore, attempts to project this inadequate model of human decision making via implementations of expert systems will be detrimental to both our image of ourselves and the future possibilities for AI software.Finally, we examine one possible route to the realization of AI, perhaps even practical applications of AI, that is a significant alternative to the model offered by the symbolic search space paradigm. (shrink)

The Computational Metaphor is an extremely influential notion, and more than any other trend has given rise to the field of Cognitive Science. Environmentalism is at present better formalised as a political movement than as a scientific paradigm, despite significant research by Gibson and his followers. This article attempts to address the difficult problem of synthesising these two apparently antagonistic research paradigms.