The paper provides a formal representation of goal systems. The focus is on three properties: consistency, conflict, and coherence. An aim is to attain conceptual clarity of these properties. It is argued that consistency is adequately regarded as a property relative to the decision situation or, more specifically, the set of alternatives that the agent faces. Moreover, as a condition of rationality, consistency is stronger than some writers have claimed. Conflict is adequately regarded as a relation over subsets (...) of a given goal system and should likewise be regarded as relative to the set of alternatives that the agent faces. Coherence is given a probabilistic interpretation, based on a support relation over subsets of goal systems. (shrink)

We study human performance in two classical NP‐hard optimization problems: Set Cover and Maximum Coverage. We suggest that Set Cover and Max Coverage are related to means selection problems that arise in human problem‐solving and in pursuing multiple goals: The relationship between goals and means is expressed as a bipartite graph where edges between means and goals indicate which means can be used to achieve which goals. While these problems are believed to be computationally intractable in general, they become more (...) tractable when the structure of the network resembles a tree. Thus, our main prediction is that people should perform better with goal systems that are more tree‐like. We report three behavioral experiments which confirm this prediction. Our results suggest that combinatorial parameters that are instrumental to algorithm design can also be useful for understanding when and why people struggle to choose between multiple means to achieve multiple goals. (shrink)

How veridical is perception? Rather than representing objects as they actually exist in the world, might perception instead represent objects only in terms of the utility they offer to an observer? Previous work employed evolutionary modeling to show that under certain assumptions, natural selection favors such “strict‐interface” perceptual systems. This view has fueled considerable debate, but we think that discussions so far have failed to consider the implications of two critical aspects of perception. First, while existing models have explored (...) single utility functions, perception will often serve multiple largely independent goals. (Sometimes when looking at a stick you want to know how appropriate it would be as kindling for a campfire, and other times you want to know how appropriate it would be as a weapon for self‐defense.) Second, perception often operates in an inflexible, automatic manner—proving “impenetrable” to shifting higher‐level goals. (When your goal shifts from “burning” to “fighting,” your visual experience does not dramatically transform.) These two points have important implications for the veridicality of perception. In particular, as the need for flexible goals increases, inflexible perceptual systems must become more veridical. We support this position by providing evidence from evolutionary simulations that as the number of independent utility functions increases, the distinction between “interface” and “veridical” perceptual systems dissolves. Although natural selection evaluates perceptual systems only on their fitness, the most fit perceptual systems may nevertheless represent the world as it is. (shrink)

In this essay we aim to present some considerations regarding a minimal but concrete notion of agency and goal-directed behavior that are useful for characterizing biological systems at different scales. These considerations are a particular perspective, bringing together concepts from dynamical systems, combinatorial problem-solving, and connectionist learning with an emphasis on the relationship between parts and wholes. This perspective affords some ways to think about agents that are concrete and quantifiable, and relevant to some important biological issues. (...) Instead of advocating for a strict definition of minimally agential characteristics, we focus on how (even for a modest notion of agency) the agency of a system can be more than the sum of the agency of its parts. We quantify this in terms of the problem-solving competency of a system with respect to resolution of the frustrations between its parts. This requires goal-directed behavior in the sense of delayed gratification, i.e., taking dynamical trajectories that forego short-term gains (or sustain short-term stress or frustration) in favor of long-term gains. In order for this competency to belong to the system (rather than to its parts or given by its construction or design), it can involve distributed systemic knowledge that is acquired through experience, i.e., changes in the organization of the relationships among its parts (without presupposing a system-level reward function for such changes). This conception of agency helps us think about the ways in which cells, organisms, and perhaps other biological scales, can be agential (i.e., more agential than their parts) in a quantifiable sense, without denying that the behavior of the whole depends on the behaviors of the parts in their current organization. (shrink)

We can readily identify goal-directed systems and distinguish them from non-goal-directed systems. A woodpecker hunting for grubs is the first, a pendulum returning to rest is the second. But what is it to be a goal-directed system? Perhaps the dominant answer to this question, inspired by systems theories such as cybernetics, is that goal-directed systems are distinguished by their tendency to seek, aim at, or maintain some more-or-less easily identifiable goal. Cybernetics (...) and the like would hold that physical systems subject only to physical laws can exhibit such behavior. If sound, this systems approach to teleology would unify a diverse range of goal-directed phenomena and neatly side-step many traditional bogey-men of teleology, such as anthropomorphism and future causation. Goal-directed phenomena would be a normal feature of the natural causal world that could be described in purely descriptive and quantitative terms, and receive ordinary causal explanations. Thus, the systems approach promises to provide a naturalistic-cum-descriptive account of teleology suitable for use in naturalistic accounts of other phenomena, including the intentionality of mental states and even self-consciousness. (shrink)

This paper offers a conceptual framework which (re)integrates goal-directed control, motivational processes, and executive functions, and suggests a developmentalpathway from situated action to higher level cognition. We first illustrate a basic computational (control-theoretic) model of goal-directed action that makes use of internalmodeling. We then show that by adding the problem of selection among multiple actionalternatives motivation enters the scene, and that the basic mechanisms of executivefunctions such as inhibition, the monitoring of progresses, and working memory, arerequired for this (...) system to work. Further, we elaborate on the idea that the off-line re-enactment of anticipatory mechanisms used for action control gives rise to (embodied)mental simulations, and propose that thinking consists essentially in controlling mental simulations rather than directly controlling behavior and perceptions. We concludeby sketching an evolutionary perspective of this process, proposing that anticipationleveraged cognition, and by highlighting specific predictions of our model. (shrink)

Food security, health, decent livelihoods, gender equity, safe working conditions, cultural identity and participation in cultural life are basic human rights that can be achieved at least in part through the food system. But current trends in the US prevent full realization of these economic, social, and cultural rights (ESCR) for residents, farmers, and wageworkers in the food system. Supply chains that strive to meet the goals of social justice, economic equity, and environmental quality better than the dominant globalized food (...) value networks are gaining popularity in the US. However, achieving important human rights has become conflated with other goals of food system reform over the past decade, such as being “community-based,” local, and sustainable. This conflation confuses means, ends, and complementary goals; and it may lead activists trying to help communities to regain control of their food system choices into less productive strategies. This paper introduces a new concept, rights-based food systems (RBFS), and explores its connection with localization and sustainability. The core criteria of RBFS are democratic participation in food system choices affecting more than one sector; fair, transparent access by producers to all necessary resources for food production and marketing; multiple independent buyers; absence of human exploitation; absence of resource exploitation; and no impingement on the ability of people in other locales to meet this set of criteria. Localization and a community base can help achieve RBFS by facilitating food democracy and reducing environmental exploitation, primarily by lowering environmental costs due to long-distance transportation. Sustainability per se is an empty goal for food system reform, unless what will be sustained and for whom are specified. The RBFS concept helps to clarify what is worth sustaining and who is most susceptible to neglect in attempts to reform food systems. Localization can be a means toward sustainability if local food systems are also RBFS. (shrink)

Spatial localization, often demarcated by food miles, has emerged as the dominant theme in movements for more socially just and environmentally benign alternative food systems, especially in industrialized countries such as the United States. We analyze how an emphasis on spatial localization, combined with the difficulty of defining and measuring adequate indicators for alternative food systems, can challenge efforts by food system researchers, environmental writers, the engaged public, and advocacy groups wanting to contribute to alternative food systems, (...) and facilitates exploitation by the mainstream players using “localwash” to maintain the status quo. New indicators are urgently needed because research shows that spatial localization in general and minimized food miles in particular are not adequate or even required for most of the goals of alternative food systems. Creating indicators to operationalize goals for alternative, local food systems requires asking the right questions to make sure indicators are not misleading us: What are the goals of alternative food systems? What actions and policies will most effectively achieve those goals? What is the potential of reducing food miles as an action and a policy for achieving goals? What are the best indicators for measuring progress toward goals? We discuss how these questions can be answered for a wide range of alternative food system goals via four categories according to the role of food miles reduction as an action and policy in promoting them: necessary and sufficient, necessary but not sufficient, potentially important, and potentially supportive. (shrink)

Human control of action in routine situations involves a flexible interplay between (a) task-dependent serial ordering constraints; (b) top-down, or intentional, control processes; and (c) bottom-up, or environmentally triggered, affordances. In addition, the interaction between these influences is modulated by learning mechanisms that, over time, appear to reduce the need for top-down control processes while still allowing those processes to intervene at any point if necessary or if desired. We present a model of the acquisition and control of goal-directed (...) action that goes beyond existing models by operationalizing an interface between two putative systems—a routine and a non-routine system—thereby demonstrating how explicitly represented goals can interact with the emergent task representations that develop through learning in the routine system. The gradual emergence of task representations offers an explanation for the transfer of control with experience from the non-routine goal-based system to the routine system. At the same time it allows action selection to be sensitive both to environmental triggers and to biasing from multiple levels within the goal system. (shrink)

This research explores the role of emotions in goal-directed behaviour. A model is provided for an emotional goal system whereby appraisals of the consequences of achieving or not achieving a goal are hypothesised to elicit anticipatory emotions; the anticipatory emotions are expected, in turn, to contribute to volitions in the service of goal pursuit (namely, intentions, plans, and the decision to expend energy); goal-directed behaviours next arise in response to volitions and lead to goal (...) attainment; and the latter then functions as the basis for a new set of appraisals and accompanying goaloutcome emotions. The model was tested in a longitudinal study of the responses of 406 adults (243 women, 163 men) in The Netherlands. The context for the study was the regulation of one's bodyweight via exercising and dieting. (shrink)

Debates over health care have focused for so long on economics that the proper goals for medicine seem to be taken for granted; yet problems in health care stem as much from a lack of agreement about the goals and priorities of medicine as from the way systems function. This book asks basic questions about the purposes and ends of medicine and shows that the answers have practical implications for future health care delivery, medical research, and the education of (...) medical students. The Hastings Center coordinated teams of physicians, nurses, public health experts, philosophers, theologians, politicians, health care administrators, social workers, and lawyers in fourteen countries to explore these issues. In this volume, they articulate four basic goals of medicine — prevention of disease, relief of suffering, care of the ill, and avoidance of premature death — and examine them in light of the cultural, political, and economic pressures under which medicine functions. In reporting these findings, the contributors touch on a wide range of diverse issues such as genetic technology, Chinese medicine, care of the elderly, and prevention and public health. The Goals of Medicine clearly demonstrates the importance of clarifying the purposes of medicine before attempting to change the economic and organizational systems. It warns that without such examination, any reform efforts may be fruitless. (shrink)

The Sustainable Development Goals (SDGs) are considered a unifying global goal setting agenda that every country is meant to achieve. One of those goals, SDG2, promises to ensure food security and nutrition within sustainable food systems. However, achieving that goal is riddled with uncertainty because of the way in which the world currently produces and consumes foods. The global trends of diets and the food systems that produce those diets suggest that they are neither healthy nor (...) sustainable, which has implications for achieving SDG2. This paper characterizes the current state of global diets and food systems, the concept of “healthy and sustainable diets,” and the ethical considerations to achieving healthy and sustainable diets for sustainable development. (shrink)

Emergence is much discussed by both philosophers and scientists. But, as noted by Mitchell (2012), there is a significant gulf; philosophers and scientists talk past each other. We contend that this is because philosophers and scientists typically mean different things by emergence, leading us to distinguish being emergence and pattern emergence. While related to distinctions offered by others between, for example, strong/weak emergence or epistemic/ontological emergence (Clayton, 2004, pp. 9–11), we argue that the being vs. pattern distinction better captures what (...) the two groups are addressing. In identifying pattern emergence as the central concern of scientists, however, we do not mean that pattern emergence is of no interest to philosophers. Rather, we argue that philosophers should attend to, and even contribute to, discussions of pattern emergence. But it is important that this discussion be distinguished, not conflated, with discussions of being emergence. In the following section we explicate the notion of being emergence and show how it has been the focus of many philosophical discussions, historical and contemporary. In section 3 we turn to pattern emergence, briefly presenting a few of the ways it figures in the discussions of scientists (and philosophers of science who contribute to these discussions in science). Finally, in sections 4 and 5, we consider the relevance of pattern emergence to several central topics in philosophy of biology: the emergence of complexity, of control, and of goal-directedness in biological systems. (shrink)

Evidence-Centered Design (ECD) is a framework for the design and development of assessments that ensures consideration and collection of validity evidence from the onset of the test design. Blending learning and assessment requires integrating aspects of learning at the same level of rigor as aspects of testing. In this paper we describe an expansion to the ECD framework (termed e-ECD) such that it includes the specifications of the relevant aspects of learning at each of the three core models in the (...) ECD, as well as making room for specifying the relationship between learning and assessment within the system. The framework proposed here does not assume a specific learning theory or particular learning goals, rather it allows for their inclusion within an assessment framework, such that they can be articulated by researchers or assessment developers that wish to focus on learning. (shrink)

The overall aim of this thesis is to present a model for rational goal-setting and to illustrate how it can be applied in evaluations of public policies, in particular policies concerning sustainable development and environmental quality. The contents of the thesis are divided into two sections: a theoretical section and an empirical section. Paper I identifies a set of rationality criteria for single goals and discusses them in relation to the typical function of goals. It is argued that goals (...) are typically set to enhance goal achievement. A goal that successfully furthers its achievement is “achievement-inducing”. It holds for each of the identified criteria that, ceteris paribus, improved satisfaction of a criterion makes a goal better in the achievement-inducing sense.Paper II contains an analysis of the notion of goal system coherence. It is argued that the coherence of a goal system is determined by the relations that hold among the goals in the system, in particular the relations of operationalization, means and ends, support, and conflict. Paper III investigates the rationality of utopian goals. The paper analyzes four arguments that support the normative criterion of attainability: that utopian goals are too imprecise and too far-reaching to guide action effectively, counterproductive, and morally objectionable. A tentative defence of utopian goal-setting is built on counter-arguments that can be put forward to weaken each of the four objections. Paper IV investigates the nature of self-defeating goals. The paper identifies three types of situations in which self-defeating mechanisms obstruct goal achievement: situations in which the goal itself carries the seeds of its own non-fulfilment, situations in which the activity of goal-setting contributes to goal failure, and situations in which disclosure of the goal interferes with progress. Paper V provides a brief description of the Swedish system of environmental objectives and a preliminary inventory of the management difficulties that attach to this goal system.Paper VI contains an investigation into the rationality of five Swedish environmental objectives through an application of the rationality criteria identified in Papers I-II. The paper identifies and discusses some difficulties that are associated with management by objectives and the use of goals in environmental policy. Paper VII analyses the rationality of the Swedish environmental quality objective A good built environment. Among the conclusions drawn in the paper are that some of the sub-goals to the objective are formulated in terms that are unnecessarily vague from an action-guiding standpoint and that others are problematic from the viewpoint of evaluability. (shrink)

Our best sciences are frequently held to be one way, perhaps the optimal way, to learn about the world’s higher-level ontology and structure. I first argue that which scientific theory is “best” depends in part on our goals or purposes. As a result, it is theoretically possible to have two scientific theories of the same domain, where each theory is best for some goal, but where the two theories posit incompatible ontologies. That is, it is possible for us to (...) have goal-dependent pluralism in our scientific ontologies. This ontological pluralism arises simply from our inability to directly know the world’s objects, rather than any particular claims about our cognitive limits, values, or social structures. I then present two case studies in which this possibility actually occurs—one based on simulations and theoretical analyses of constructed causal systems, and one from actual scientific investigations into the proper ontology for ocean regions. (shrink)

Systems thinking has emerged as a means of conceptualizing and addressing complex public health problems, thereby challenging more commonplace understanding of problems and corresponding solutions as straightforward explanations of cause and effect. Systems thinking tries to address the complexity of problems through qualitative and quantitative modeling based on a variety of systems theories, each with their own assumptions and, more importantly, implicit and unexamined values. To date, however, there has been little engagement between systems scientists and (...) those working in bioethics and public health ethics. The goal of this paper is to begin to consider what it might mean to combine systems thinking with public health ethics to solve public health challenges. We argue that there is a role for ethics in systems thinking in public health as a means of elucidating implicit assumptions and facilitating ethics debate and dialogue with key stakeholders. (shrink)

This article discusses the development and application of various types of corporate social monitoring systems. Boycotts are a relatively simple form of social monitoring system which aim to produce changes in corporate social behavior. Boycotts may be organized by a single group, or by a number of groups simultaneously. Rating systems may be organized around a single issue, such as the Sullivan Principles rating scheme, or may include multiple companies and multiple issues, such as shopping guides or ethical (...) investment systems.Monitoring systems may be unidimensional or multidimensional, qualitative or quantitative, and absolute or relative. Consumers and investors appear to be the groups most likely to be targeted in these schemes. The importance of these monitoring systems appears to be increasing as both consumers and investors become more interested in using social criteria in decision-making. (shrink)

The study aims to analyze the political mechanisms essential for the effective realization of Sustainable Development Goals (SDGs) within the local government framework. The research employs a mixed-method approach, combining qualitative and quantitative analyses to evaluate the interaction between local self-government bodies (LSGs) and businesses, improving investment resources, and directing investment capital towards human resources. The study reveals that the peculiarities of implementing SDGs in Ukraine involve ensuring the stabilizing and distributive functions of the state, which contribute to stimulating economic (...) growth and efficient resource allocation. A new paradigm of local self-government is proposed, characterized by minimal state intervention in regional economies.The results highlight the importance of decentralization and the empowerment of local authorities, aiming to enhance the efficiency and responsiveness of local governance. The study identifies that fostering closer collaboration between local governments and businesses creates a conducive environment for economic development and innovation. Human capital development, through directing investment capital towards education, training, and skill development, is found to enhance the productivity and competitiveness of the local workforce, attracting more investment and creating new job opportunities.The research underscores the significance of international cooperation in achieving SDGs, encouraging local enterprises to engage in international projects and partnerships to leverage global expertise and resources. Innovative financing mechanisms, including public-private partnerships and impact investing, are proposed to support local development initiatives, aiming to reduce dependency on state budgets and enhance financial sustainability.Theoretical implications suggest that the proposed model can be applied to other regions with similar economic and governance structures. Practically, the study offers actionable insights for policymakers and local governments to design strategies for sustainable local development. The originality of the research lies in its comprehensive approach, integrating political, economic, and social dimensions of sustainable development at the local level.Further research should explore the long-term impacts of these mechanisms and address potential limitations related to varying regional contexts. This empirical study provides a foundation for future studies on sustainable development in local governance. (shrink)

Ontologies have been successfully used to assign semantics in the Semantic Web context, to support integration of data from different systems or different sources, and to enable reasoning. However, building ontologies is not a trivial task. Ontology reuse can help in this matter. The search and selection of ontologies to be reused should consider the alignment between their scope and the scope of the ontology being developed. In this paper, we discuss how goal modeling can be helpful in (...) this context and we present GO-FOR, a framework in which goals are the central elements to promote ontology reuse. GO-FOR comprises a conceptual architecture, a goal-oriented ontology development process and a supporting tool. In GO-FOR we introduce Goal-Oriented Ontology Patterns (GOOPs) as a new type of pattern to be applied to develop ontologies in a goal-oriented approach. Results of the use of GO-FOR to build an ontology used to integrate patient examination data are also shown in this paper. (shrink)

Goal Directed Proof Theory presents a uniform and coherent methodology for automated deduction in non-classical logics, the relevance of which to computer science is now widely acknowledged. The methodology is based on goal-directed provability. It is a generalization of the logic programming style of deduction, and it is particularly favourable for proof search. The methodology is applied for the first time in a uniform way to a wide range of non-classical systems, covering intuitionistic, intermediate, modal and substructural (...) logics. The book can also be used as an introduction to these logical systems form a procedural perspective. Readership: Computer scientists, mathematicians and philosophers, and anyone interested in the automation of reasoning based on non-classical logics. The book is suitable for self study, its only prerequisite being some elementary knowledge of logic and proof theory. (shrink)

- A recent debate has touched upon the question of whether diseases can be understood as dysfunctional mechanisms or whether there are "pathological" mechanisms that deserve to be investigated and explained independently (Nervi 2010; Moghaddam Taaheri 2011). Here I suggest that both views tell us something important about disease but that in many instances only a systemic view can shed light on the relationship between physiology and pathology. I provide examples from the literature in systems biology in support of (...) my position. As a result of my analysis, I conclude that a perspective narrowly focusing on mechanisms is insufficient if the goal is to get a comprehensive picture of disease. (shrink)

Does systems theory need rethinking? Most social scientists would probably say no. It had its run, was debated critically, and found wanting. If at all, it should be treated historically. Why then might systems theory need rethinking, as the title of this symposium claims? The reason is that, unlike in the natural and biosocial sciences, any conception of system in the social sciences has remained suspect in the wake of problematic Parsonian and cybernetic systems theories. The premise (...) of this special issue is that abandoning conceptions of systems has imposed a high price on the social sciences: a lack of ontologies and methodologies that are both philosophically profound and scientifically defensible. It has left social scientists who choose to ignore ontology in their theoretical and empirical work defenseless against enterprising settlers from a variety of humanities and social science disciplines who attack mainstream work with—often simplistic and naïve, but nevertheless fundamental—philosophical arguments, whether anti-scientific postmodernists or pseudo-scientific rational choice theorists. The goal of this special issue is to showcase new and original work that contributes to a rethinking of systems theory by taking the conception of systems seriously. This introduction offers a programmatic statement of a systemic ontology and methodology as well as a brief general outline and examples of what a systems-based approach in the social sciences entails. Key Words: systems theory • systemism • systemic approach • complexity theory • self-organization • emergentism • paradigms • social mechanisms • Mario Bunge. (shrink)

Health systems research is widely identified as an indispensable means to achieve the goal of health equity between and within countries. Numerous health systems research consortia comprised of institutions from high-income countries and low and middle-income countries are currently undertaking programs of research in LMICs. These partnerships differ from collaborations that carry out single projects in the multiplicity of their goals, scope of their activities, and nature of their management. Recent conceptual work has explored what features might (...) be necessary for health systems research consortia and their research programs to promote health equity. Identified features include selecting research priorities that focus on improving access to high-quality health services and/or financial protection for disadvantaged populations in LMICs and conducting research capacity strengthening that promotes the independent conduct of health systems research in LMICs. Yet, there has been no attempt to investigate whether existing consortia have such characteristics. This paper describes the results of a survey undertaken with health systems research consortia leaders worldwide to assess how consistent current practice is with the proposed ethical guidance. The findings suggest that consortia may be fairly well organised to promote health equity, but have scope for improvement, particularly in terms of achieving inclusive priority-setting. (shrink)

The development of increasingly intelligent and autonomous technologies will eventually lead to these systems having to face morally problematic situations. This gave rise to the development of artificial morality, an emerging field in artificial intelligence which explores whether and how artificial systems can be furnished with moral capacities. This will have a deep impact on our lives. Yet, the methodological foundations of artificial morality are still sketchy and often far off from possible applications. One important area of application (...) of artificial systems with moral capacities is geriatric care. The goal of this article is to afford the methodological foundations for artificial morality, i.e., for implementing moral capacities in artificial systems in general, and to discuss them with respect to an assistive system in geriatric care which is capable of moral learning. (shrink)

The question whether AI systems have agency is gaining increasing importance in discussions of responsibility for AI behavior. This paper argues that an approach to artificial agency needs to be teleological, and consider the role of human goals in particular if it is to adequately address the issue of responsibility. I will defend the view that while AI systems can be viewed as autonomous in the sense of identifying or pursuing goals, they rely on human goals and other (...) values incorporated into their design, and are, as such, dependent on human agents. As a consequence, AI systems cannot be held morally responsible, and responsibility attributions should take into account normative and social aspects involved in the design and deployment of the said AI. My argument falls in line with approaches critical of attributing moral agency to artificial agents, but draws from the philosophy of action, highlighting further philosophical underpinnings of current debates on artificial agency. (shrink)

The goal of this paper is to define and analyze systems which exhibit brittle behavior. This behavior is characterized by a sudden and steep decline in performance as the system approaches the limits of tolerance. This can be due to input parameters which exceed a specified input, or environmental conditions which exceed specified operating boundaries. An analogy is made between brittle commmunication systems in particular and materials science.

This book provides an argumentation model for means-end reasoning, a distinctive type of reasoning used for problem-solving gand decision-making. Means-end reasoning is modeled as goal-directed argumentation from an agent's goals and known circumstances, and from an action selected as a means, to a decision to carry out the action. Goal-based reasoning for argumentation provides an argumentation model for this kind of reasoning, showing how it is employed in settings of intelligent deliberation where agents try to collectively arrive at (...) a conclusion on what they should do to move forward in a set of circumstances. The book explains how this argumentation model can help build more realistic computational systems of deliberation and decision-making and shows how such systems can be applied to solve problems posed by goal-based reasoning in numerous fields, from social psychology and sociology, to law, political science, anthropology, cognitive science, artificial intelligence, multi-agent systems, and robotics." -- Back cover. (shrink)

Aristotle’s ethical system was guided by his vision of human flourishing (also, but potentially misleadingly, translated as happiness). For Aristotle, human flourishing was a rich holistic concept about a life lived well until its ending. Both living a long life and dying well were integral to the Aristotelian ideal of human flourishing. Using Aristotle’s concept of human flourishing to inform the goals of medicine has the potential to provide guidance to clinical decision-makers regarding the provision of burdensome treatments, such as (...) intensive care treatment, where pursuing a chance of survival must be balanced against the risk of exposing patients to a negative dying experience. By conceptually uniting potentially competing goals of medicine, such as prolonging life and the promotion of peaceful deaths, Aristotle’s understanding of human flourishing creates an argument for the integration of palliative care considerations into intensive care decision-making and for advanced care planning with healthy patients. (shrink)

Straipsnyje aptariamos vokieèiø filosofo J. H. Abichto , Kanto sekëjo, dirbusio Vilniaus universitete, pagrindinio veikalo „Neues System eines aus der Menschheit entwickelten Naturrechts“ idëjos.Reikðminiai þodþiai: J. H. Abichtas, Kantas, Chr. Wolffas, asmuo, teisë.

This article explores the overlap between systems biology and predictive neuroscience, placing them in their larger context, the contemporary trend of bioinformatic convergence across the sciences. These two domains overlap with respect to their interest in data accumulation and data integration; their reliance on computational statistical correlation; and their translational goals, that is, producing practical fruits and applications from the interscientific cross-pollination that contemporary data-integrative approaches make possible. The interventions that such translational conversations generate are medical and social in (...) nature, and are aimed at both prevention and treatment. It will be argued that such approaches, socially and medically applied, contain potential for conveying both agency-enhancing and agency-diminishing social messages. The article concludes with a call to balance the overwhelmingly quantitative focus characteristic of predictive neuroscience with more qualitative empirical methodologies. This would represent a double helical approach. (shrink)

A long-standing problem in understanding goal-directed systems has been the insufficiency of mechanistic explanations to make sense of them. This paper offers a solution to this problem. It begins by observing the limitations of mechanistic decompositions when it comes to understanding physical fields. We argue that introducing the field concept, as it has been developed in field theory, alongside mechanisms is able to provide an account of goal directedness in the sciences.

A farming systems approach to development has meant many things over the past 15 years, depending on its institutional and ecological setting, its target populations, and the goals motivating its implementation. Despite the diversity of approaches, and the sometimes rancorous discussion over which was best and why, the approach is now recognized in many places as the only one that can identify and respond to the needs of limited resource farm families, especially those in marginal ecosystems. Involving an iterative (...) process of diagnosis, design, testing and extension, the farming system approach to date has done more to change research objectives at national and international institutions than to change actual farmer practices. By legitimizing what limited resource farmers do and why they do it, a farming systems approach lends itself to policy analysis as well. Recent research in farming systems suggests greater attention should be payed to exogenous variables, including policy and infrastructure, as well as to development of technology that really responds to the felt needs of limited resource farmers in improving their level of living. (shrink)

Improving nitrogen (N) fertilizer management in agricultural systems is critical to meeting environmental goals while maintaining economically viable and productive food systems. This paper applies a farm systems framework to analyze how adoption of N management practices is related to different farming operation characteristics and the extent to which fertilizer, soil and irrigation practices are related to each other. We develop a multivariate probit regression model to analyze the interdependency of these adoption behaviors from 966 farmers across (...) three watersheds and diverse cropping systems in the Central Valley of California. Our analysis demonstrates that farmers adopt varying combinations or portfolios of practices, with the most common portfolio featuring a core set of fertilizer-focused practices. Irrigation infrastructure is an especially important farm operation characteristic for encouraging adoption of innovative practice portfolios that integrate water and fertilizer management. These findings highlight the ability for a farm systems approach to improve our understanding of farmer decision-making across diverse agricultural landscapes. (shrink)

We examine two approaches to functions: etiological and forward-looking. In the context of functions, we raise the question, familiar to philosophers of mind, about the explanatory role of properties that are not supervenient on the mere dispositional features of a system. We first argue that the question has no easy answer in either of the two approaches. We then draw a parallel between functions and goal directedness. We conclude by proposing an answer to the question: The explanatory importance of (...) nonsupervenient properties (like having the function of doing something, or like being goal-directed) does not lie in any special causal mechanism through which these properties bring about their effects; it lies rather in the different classification of the explananda types that these properties generate. (shrink)

The goal of the article is twofold. The first one is to provide logics based on positional semantics which will be suitable for the analysis of epistemic modalities such as ‘agent... knows/beliefs that...’. The second one is to define tableau systemsfor such logics. Firstly, we present the minimal positional logic MR. Then, we change the notion of formulas and semantics in order to consider iterations of the operator of realization and “free” classical formulas. After that, we move on to (...) weaker logics in order to avoid the well known problem of logical omniscience. At the same time, we keep the positional counterparts of modal axioms, and. For all of the considered logics we present sound and complete tableau systems. (shrink)

Theories of skill acquisition have made radically different predictions about the role of general problem‐solving methods in acquiring rules that promote effective transfer to new problems. Under one view, methods that focus on reaching specific goals, such as means‐ends analysis, are assumed to provide the basis for efficient knowledge compilation (Anderson, 1987), whereas under an alternative view such methods are believed to disrupt rule induction (Sweller, 1988). We suggest that the role of general methods in learning varies with both the (...) specificity of the problem solver's goal and the systematicity of the strategies used for testing hypotheses about rules. In the absence of a specific goal people are more likely to use a rule‐induction learning strategy, whereas provision of a specific goal fosters use of difference reduction, which tends to be a non‐rule‐induction strategy. We performed two experiments to investigate the impact of goal specificity and systematicity of rule‐induction strategies in learning and transfer within a complex dynamic system. The results of Experiment 1 indicated that during free exploration of a problem space, greater learning occurred if participants adopted more systematic strategies for rule induction, and that participants come to favor such strategies. Experiment 2 revealed that participants who were provided with a specific goal performed well on the initial problem but were impaired on a transfer test using a similar problem with a different goal. Instruction on a systematic rule‐induction strategy facilitated solution for both the initial and transfer problems, but participants' use of this strategy declined if they had a specific goal. Our results support Sweller's (1988) proposal that general problemsolving methods applied to a specific goal foster acquisition of knowledge about an isolated solution path but do not provide an effective way of learning the overall structure of a problem space. We interpret these results in terms of dualspace theories of search through problem space. (shrink)

Researchers have found undeniable variability and irrefutable evidence of consistencies in emotional responses across situations, individuals, and cultures. Both must be acknowledged in constructing adequate, enduring models of emotional phenomena. In this article I outline an empirically-grounded model of the structure of the emotion system, in which relatively variable actions may be used to pursue relatively consistent goals within discrete emotion syndromes; the syndromes form a stable, coherent set of strategies for coping with crises and opportunities. I also discuss a (...) framework that can integrate dimensional and discrete perspectives on emotions. (shrink)

The goal of the paper is to analyse some specific features of a very central concept for top-level ontologies for information systems: i.e. the concept of artefact. Specifically, we analyse the relation to be a copy of that is strongly linked to the notion of artefact and—as we will demonstrate—could be useful to distinguish artefacts from objects of other kinds. Firstly, we outline some intuitive and commonsensical reasons for the need of a clarification of the notion of artefact (...) in ontologies for information systems, and we analyse some characterisations of the notion given by two top-level ontologies (Cyc and Wordnet). Secondly, we introduce and critically analyse Tzouvaras’ notion of copy. Thirdly, we try to complete an analysis of copy by distinguishing three kinds of copies: replicas (Tzouvaras’ notion of copy), rigid copies, and functional copies. With the help of these three notions we outline a first and preliminary distinction between artefacts, objects of art and natural objects. (shrink)