The introduction maps five panoptic-shaped establishments in Australia's colonial history, as well as discusses how the convict industry in Australia developed a unique pattern, alternating out-door and in-door penal servitude. In-door confinement was modelled on a variety of influences, of which Bentham’s is one among many. The label Panopticon might appear inaccurate to describe these prisons, however it is still used today as the term is loaded with connotations with encapsulates some of the spirit of the penal colony.

Despite the Swan River Colony of Western Australia being founded as the first, experimental, and free colony on the Australian continent, crime and punishment were intertwined with colonisation. It can be demonstrated that Jeremy Bentham’s writings on punishment and reform, specifically through the panopticon, had a significant influence on the punishment of prisoners in the Swan River Colony. Most notably, this occurred through the construction of Fremantle Gaol. Indeed, in the emerging port town of Fremantle, the jail was (...) designed by Henry Willey Reveley, a known associate of Bentham, and it incorporates crucial elements of the panopticon into its architecture and operations. Whilst it should be noted that the prison does not conform to the entirety of the panopticon design, it can be viewed as a practical response to the model in a colonial setting with limited resources. Deviations from the methods of discipline and punishment outlined by Bentham through the panopticon and other writings are attributable to the increased need for the perception of control over a disgruntled settler population who felt that they had been misled regarding the potential of the colony, and an Indigenous population who sought to defend their homeland against invasion. Thus, the jail provides an interesting insight into the state of crime, society and penal trends that emerged in the formative years of the Swan River Colony between 1831-1841. Through analysis of the surviving records, this paper will examine Fremantle Gaol as an example of Bentham’s panopticon, in particular how its architecture and operations mirrored the model. (shrink)

Looking times and gaze behavior indicate that infants can predict the goal state of an observed simple action event (e.g., object‐directed grasping) already in the first year of life. The present paper mainly focuses on infants’ predictive gaze‐shifts toward the goal of an ongoing action. For this, infants need to generate a forward model of the to‐be‐obtained goal state and to disengage their gaze from the moving agent at a time when information about the action event is (...) still incomplete. By about 6 months of age, infants show goal‐predictive gaze‐shifts, but mainly for familiar actions that they can perform themselves (e.g., grasping) and for familiar agents (e.g., a human hand). Therefore, some theoretical models have highlighted close relations between infants’ ability for action‐goal prediction and their motor development and/or emerging action experience. Recent research indicates that infants can also predict action goals of familiar simple actions performed by non‐human agents (e.g., object‐directed grasping by a mechanical claw) when these agents display agency cues, such as self‐propelled movement, equifinality of goal approach, or production of a salient action effect. This paper provides a review on relevant findings and theoretical models, and proposes that the impacts of action experience and of agency cues can be explained from an action‐event perspective. In particular, infants’ goal‐predictive gaze‐shifts are seen as resulting from an interplay between bottom‐up processing of perceptual information and top‐down influences exerted by event schemata that store information about previously executed or observed actions. (shrink)

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)

In 'Joint Action and Development', Stephen Butterfill argues that if several agents' actions are driven by what he calls a "shared goal"—a certain pattern of goal-relations and expectations—then these actions constitute a joint action. This kind of joint action is sufficiently cognitively undemanding for children to engage in, and therefore has the potential to play a part in fostering their understanding of other minds. Part of the functional role of shared goals is to enable agents to choose means (...) that are appropriate to realising a goal with others rather than individually. By offering a counterexample, I show that the pattern of goal-relations and expectations specified by Butterfill cannot play this role. I then provide an appropriately conceptually and cognitively undemanding amendment with which the account can be saved. (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)

I defend the claim that understanding is the goal of explanation against various persistent criticisms, especially the criticism that understanding is not truth-connected in the appropriate way, and hence is a merely psychological state. Part of the reason why understanding has been dismissed as the goal of explanation, I suggest, is because the psychological dimension of the goal of explanation has itself been almost entirely neglected. In turn, the psychological dimension of understanding—the Aha! experience, the sense that (...) a certain explanation “feels right”, and so on—has been conspicuously overemphasized. I try to correct for both of these exaggerations. Just as the goal of explanation includes a richer psychological—including phenomenological—dimension than is generally acknowledged, so too understanding has a stronger truth connection than is generally acknowledged.Keywords: Understanding; Explanation; Philosophy of science; Epistemology. (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)

This article focuses on social perception, an area of research that lies at the interface between the philosophy of perception and the scientific investigation of human social cognition. Some philosophers and psychologists appeal to resonance mechanisms to show that intentional and goal-directed actions can be perceived. Against these approaches, I show that there is a class of simple goal-directed actions, whose perception does not rely on resonance. I discuss the role of the superior temporal sulcus as the possible (...) neural correlate of perception of goal-directed actions. My proposal is intermediate between claims according to which we perceive intentional actions and claims according to which we cannot perceive goal-directed actions. 1Preliminary Clarifications and Methodology2Does the Perception of Goal-Directed Actions Rest on Resonance?3What Are the Neural Correlates of Social Perception?4From Neural Correlates to the Experience of Goal-Directed Actions5The Development of the Perception of Goal-Directed Actions: A Possible New Role for Resonance6Conclusion: Seeing Goal-Directedness of Actions and Social Perception. (shrink)

In this paper, I review and compare major literature on goals in argumentation scholarship, aiming to answer the question of how to take the different goals of arguers into account when analysing and evaluating public political arguments. On the basis of the review, I suggest to differentiate between the different goals along two important distinctions: first, distinguish between goals which are intrinsic to argumentation and goals which are extrinsic to it and second distinguish between goals of the act of arguing (...) and goals of argumentative interactions. Furthermore, I propose to analyse public political arguments as multi-purposive activity types and reconstruct the argumentative exchanges as a series of simultaneous discussions. This enables us to examine public political arguments from a perspective in which the intrinsic goals of argumentation are in principle instrumental for the achievement of the socio-political purposes of argumentation, and consequently, it makes our assessment of the argumentative quality of the argument also indicative of the quality of the socio-political processes to which the arguments contribute. (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)

Huang and Bargh’s definition of goals is ambiguous between ‘specific goals’ – the end-state of a token action I am about to perform – and ‘unspecific goals’ – the end-state of an action-type (without specifying how this would be achieved). The analogy with selfish genes pushes the authors towards the former interpretation, but the latter would provide a more robust theoretical framework.

This volume presents chapters from internationally renowned scholars in the area of goals and social behavior.

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.

The current study examined the longitudinal relationships between goal contents and academic cheating (serious versus minor cheating) among representative college students. Based on the framework of goal contents theory within self-determination theory, wealth, fame, affiliation, self-growth, social-concern, and leisure goals were tested as predictive factors of two types of academic cheating. Participants were 2,360 representative college students from the Korean Education Longitudinal Study majoring in business, humanities, social sciences, engineering, education, arts, and medicine. They answered survey questionnaires twice (...) at 1-year intervals. Hierarchical regression analysis found that self-growth negatively predicted serious as well as minor cheating, and the wealth goal was positively correlated with minor cheating after controlling for previous cheating behaviors and gender. The results support goal contents theory and show that classifying academic cheating by severity permits a deeper understanding of students’ academic cheating. Educators and practitioners seeking to encourage students’ ethical behavior should pay closer attention to the goal contents they pursue to provide appropriate guidelines. (shrink)

While promoting population health has been the classic goal of public health practice and policy, in recent decades, new objectives in terms of autonomy and equality have been introduced. These different goals are analysed, and it is demonstrated how they may conflict severly in several ways, leaving serious unclarities both regarding the normative issue of what goal should be pursued by public health, what that implies in practical terms, and the descriptive issue of what goal that actually (...) is pursued in different contexts. A basic conflict of perspective is handled by integrating the ideas of public health striving for health-related autonomy and equality, resulting in a prioritarian oriented population approach to health-related autonomy. This integrated goal is demonstrated to constrain itself in several ways attractive from the point of view of the classic goal, but several serious problems remain. For this reason, a model where all of the three goals are integrated into one coherent structure where they can be assigned varying degrees of importance relative to the level of population health is described. It is argued that this model avoids the problems set out earlier, and is actually normatively preferable to the classic goal alone. It is furthermore argued that the model may be employed as a useful tool for descriptive ethics, as well as a vehicle for international harmonisation of public health policies. A number of practical implications regarding, e.g., the importance of respecting autonomy and the allocation of public health resources are noted, as are a battery of questions for further research. (shrink)

Goal setting is an important professional method and one of the key concepts that structure a practical field such as physical rehabilitation. However, the actual use of goals in rehabilitation practice is much less straightforward than the general acceptance of the method suggests as goals are frequently unattained, modified or contested. In this paper, I will argue that the difficulties of goal setting in day-to-day medical practice can be understood by unravelling the normative assumptions of goal setting, (...) in this case three different tensions that come along with it. First, goals are developed for a future state that may require activities that clash with necessities of the present situation. Second, professionals in clinical rehabilitation centres elaborate goals for an environment that differs in terms of spatial and social characteristics from the environment in the centre, where people train for the accomplishment of goals. Finally, goal setting requires active patient participation and individual control that sometimes appears impossible, unrealistic, and undesirable. I will describe how professionals deal with these tensions in a creative and dynamic way. With my articulation of the assumptions of goal setting, I hope to contribute to the self-reflection of rehabilitation practitioners as well as to theoretical discussions of goal setting in contexts other than rehabilitation. (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 purpose of this article is to present a normative theory of the goals of medicine (a theory that tells us in what respects medicine should benefit the patient) that is both comprehensive and unified. A review of the relevant literature suggests that there are at least seven plausible goals that are irreducible to each other, namely to promote functioning, to maintain or restore normal structure and function, to promote quality of life, to save and prolong life, to help the (...) patient to cope well with her condition, to improve the external conditions under which people live, and to promote the growth and development of children. However, it seems that all these goals need to be qualified in different ways, e.g. it does not seem reasonable to improve physiological function or functional ability unless this is expected to have positive effects on quality of life and/or length of life, or to improve the quality of life in any respect, or by any means. These qualifications all suggest that the proposed goals are, as goals, conceptually, and not just causally, related to one another, and that they should therefore not be regarded in isolation. Instead, we should think of the medical enterprise as having a multidimensional goal structure rather than a single goal. In order to depict clearly how the different goals are related to one another, a multidimensional model is constructed. (shrink)

Recent research has demonstrated an asymmetry between the origins and endpoints of motion events, with preferential attention given to endpoints rather than beginnings of motion in both language and memory. Two experiments explore this asymmetry further and test its implications for language production and comprehension. Experiment 1 shows that both adults and 4-year-old children detect fewer within-category changes in source than goal objects when tested for memory of motion events; furthermore, these groups produce fewer references to source than (...) class='Hi'>goal objects when describing the same motion events. Experiment 2 asks whether the specificity of encoding source/goal relations differs in both spatial memory and the comprehension of novel spatial vocabulary. Results show that endpoint configuration changes are detected more accurately than source configuration changes by both adults and young children. Furthermore, when interpreting novel motion verbs, both age groups expect more fine-grained lexical distinctions in the domain of endpoint configurations compared to that of source configurations. These studies demonstrate that a cognitive-attentional bias in spatial representation and memory affects both the detail of linguistic encoding during the use of spatial language and the specificity of hypotheses about spatial referents that learners build during the acquisition of the spatial lexicon. (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)

The analysis of function-ascribing statements, such as “the function of x is y”, is proving to be a difficult matter. It is difficult because we are only beginning to see the complexity which is involved in ascribing functions. The process of discovery has been slow and tedious, with each newly constructed analysis of the meaning of functional ascriptions yielding insights into the structure of functional analysis and functional explanation. However, as each analysis is, in turn, dismantled, we seem to see (...) our insights slip away. In the wake of each exchange, a new member is added to the list of desiderata for an analysis of function-ascribing statements. Thus, the matter of finding a proper analysis of function attributions becomes more and more complex. (shrink)

Of Goals and Goods and Floundering About: A Dissensus Report on Clinical Ethics Consultation Content Type Journal Article Pages 275-291 DOI 10.1007/s10730-009-9101-1 Authors Jeffrey P. Bishop, Vanderbilt University Center for Biomedical Ethics and Society 2525 West End Avenue, Suite 400 Nashville Tennessee 37203 USA Joseph B. Fanning, Vanderbilt University Center for Biomedical Ethics and Society 2525 West End Avenue, Suite 400 Nashville Tennessee 37203 USA Mark J. Bliton, Vanderbilt University Center for Biomedical Ethics and Society 2525 West End Avenue, Suite (...) 400 Nashville Tennessee 37203 USA Journal HEC Forum Online ISSN 1572-8498 Print ISSN 0956-2737 Journal Volume Volume 21 Journal Issue Volume 21, Number 3. (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)

Selfish Goal Theory is compatible with a behaviorally based theory that recognizes mental processes as behaviors. Both envision choices as made by the competition of purposive processes, which are autonomous in that they are not coordinated by an agentic “self.” However, the survival of mental processes – termed “goals” or “interests,” respectively – depends on a well-documented active mechanism: reward.

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)

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)

In this paper, we propose a decidable single-agent modal logic for reasoning about goal-directed “knowing how”, based on ideas from linguistics, philosophy, modal logic, and automated planning in AI. We first define a modal language to express “I know how to guarantee \ given \” with a semantics based not on standard epistemic models but on labeled transition systems that represent the agent’s knowledge of his own abilities. The semantics is inspired by conformant planning in AI. A sound and (...) complete proof system is given to capture valid reasoning patterns, which highlights the compositional nature of “knowing how”. The logical language is further extended to handle knowing how to achieve a goal while maintaining other conditions. (shrink)

Teleological explanations of human actions are explanations in terms of aims, goals, or purposes of human agents. According to a familiar causal approach to analyzing and explaining human action, our actions are, essentially, events (and sometimes states, perhaps) that are suitably caused by appropriate mental items, or neural realizations of those items. Causalists traditionally appeal, in part, to such goal-representing states as desires and intentions (or their neural realizers) in their explanations of human actions, and they take accept-able teleological (...) explanations of our actions to be causal explanations. Some proponents of the view that human actions are explained teleologically resist this. They regard the causal approach as a rival. I dub this position “anticausalist teleologism,” or AT, for short. I favor the causal approach, but I will not directly argue for it here. My aim is more modest. I will develop a serious problem for AT that strongly suggests that teleologists need causalism; and I will rebut a style of objection to the project of providing a causal analysis of acting in pursuit of a goal that recently resurfaced in the literature on teleological explanations of action, a style of objection featuring a certain kind of causal deviance. (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)

In recent years, developmental psychologists have increasingly been interested in various forms of prosocial behavior observed in infants and young children—in particular comforting, sharing, pointing to provide information, and spontaneous instrumental helping. We briefly review several models that have been proposed to explain the psychological mechanisms underpinning these behaviors. Focusing on spontaneous instrumental helping, we home in on models based upon what Paulus :77–81, 2014) has dubbed ‘goal-alignment’, i.e. the idea that the identification of an agent’s goal leads (...) infants to take up that goal as their own. We identify a problem with the most well-known model based upon this idea, namely the ‘goal contagion’ model. The problem arises from the way in which the model specifies the content of the goal which is identified and taken up. We then propose an alternative way of specifying the content of the goal, and use this as a starting point for articulating an alternative model based upon the idea of alignment, namely the ‘goal slippage’ model. By elucidating the difference between goal contagion and goal slippage, we contribute to the articulation of experimental criteria for assessing whether and when the mechanisms specified by these two models are at work. (shrink)