According to agent-centered virtue ethics, acting well is not a matter of conforming to agent-independent moral standards, like acting so as to respect humanity or maximize utility. Instead, virtuous agents determine what is called for in their circumstances through good practical reason. This is an attractive view, but it requires a plausible account of how good practical reason works. To that end, some theorists invoke the skill model of virtue, according to which virtue involves essentially the same kind (...) of practical reason as ordinary skills. I contend, however, that ordinary skills provide a plausible and informative model of good practical reason only insofar as they are assessed by agent-independent standards. And so virtue, likewise, must be assessed primarily by agent-independent moral standards, if the skill model is to serve its purpose. I consider how agent-centered virtue ethics might avert this dilemma. But I ultimately suggest proceeding a different way. (shrink)

The skill model of wisdom argues that practical wisdom can be best understood in terms of practical skill or expertise, and the model is thought to have the characteristic of focusing on how wise people think rather than how wise people feel. However, from the perspective of Kunzmann and Glück, “it is time for an ‘emotional revolution’ in wisdom research, which will contribute to a more balanced view on wisdom that considers emotional factors and processes as (...) equally typical of wisdom as are cognitive and reflective factors” (Kunzmann U, Gluck J [2019] Wisdom and emotion. In: Sternberg R, Gluck J (eds) The cambridge handbook of wisdom. Cambridge University Press, Cambridge, pp 575–601). Kunzmann and Glück’s appeal for this emotional revolution is significant and intriguing because the inclusion of an explanation of the role of emotion in wisdom can contribute to developing the skill model of wisdom into a more comprehensive framework that recognizes the intricate relation between wisdom and emotions. In this paper, I shall propose and develop a skill account of the emotions of the wise to serve as a supplement to the skill model of wisdom. According to this account, first, at the critical level, having emotions and emotional competence as elements is not essential to wisdom; second, at the theoretical level, a wise person feels an emotion E if and only if E is strategically rational for the wise person; and third, at the metatheoretical level, the primary aim of the skill account is to explain why wise people feel in a particular way rather than to describe how wise people feel. (shrink)

Julia Annas is one of the few modern writers on virtue that has attempted to recover the ancient idea that virtues are similar to skills. In doing so, she is arguing for a particular account of virtue, one in which the intellectual structure of virtue is analogous to the intellectual structure of practical skills. The main benefit of this skill model of virtue is that it can ground a plausible account of the moral epistemology of virtue. This benefit, (...) though, is only available to some accounts of virtue. Annas claims that Aristotle rejects this skill model of virtue, and so the model of virtues as a skill that Annas endorses for the modern virtue theory is Socratic. This paper argues that while Aristotle rejects the Socratic model of virtue as a skill, he does not reject the model of virtue as a skill altogether. Annas has mischaracterized Aristotle's position on the skill model, because she has not recognized that Aristotle endorses a different account of the structure of skill than the one put forth by Socrates. In addition, recent research on expertise provides an account of skills very much at odds with the description of skills offered by Annas, but similar to the account endorsed by Aristotle. Contrary to Annas, not only is the skill model of virtue compatible with a neo-Aristotelian account of virtue, but it also appears that basing a skill model of virtue on a Socratic account of virtue is likely to prove unsuccessful. (shrink)

Contemporary philosophers have contributed to the development of the skill model of wisdom, according to which practical wisdom is practical skill. However, the model appears to be limited in its explanatory power, since there are asymmetries between wisdom and skill: A person with practical wisdom can and should deliberate about the end being pursued; by contrast, a person with a particular practical skill cannot deliberate about the end of the skill, and even if (...) she can, she is not required to do so. In this paper, I undermine these widely held asymmetries by elucidating the unnoticed nature of skill. (shrink)

A recent skeptical challenge denies deliberation is essential to virtuous agency: what looks like genuine deliberation is just a post hoc rationalization of a decision already made by automatic mechanisms (Haidt 2001; Doris 2015). Annas’s account of virtue seems well-equipped to respond: by modeling virtue on skills, she can agree that virtuous actions are deliberation-free while insisting that their development requires significant thought. But Annas’s proposal is flawed: it over-intellectualizes deliberation’s developmental role and under-intellectualizes its significance once virtue is acquired. (...) Doing better requires paying attention to a distinctive form of anxiety—one that functions to engage deliberation in the face of decisions that automatic mechanisms alone cannot resolve. (shrink)

I argue that the theory of happiness now dominant among philosophers embraces a flawed, technicizing model that represents happiness as a set of mental states produced by actions and events. This view contrasts with Aristotle’s conception, according to which happiness is not produced by (but is tantamount to) long-term activity and incorporates (but is not reducible to) a set of mental states. I then go on to criticize the skill model of happiness on three main grounds. First, (...) unlike the Aristotelian model, it necessarily instrumentalizes activity while setting no principled limit to the manipulation of human action and experience. Second, and again contra Aristotle, it privileges an efficient (rather than formal) conception of causation while obscuring the way in which happiness is inextricably grounded in its conditions, which in turn has various deleterious upshots. Third and finally, the skill model yields a highly questionable notion of happiness as measurable. (shrink)

The Dreyfus skill model has a wide range of applications to various domains, including sport, nursing, engineering, flying, and so forth. In this article, the authors discuss the skill model in connection with two different research projects concerning ski instruction and treating anorexia nervosa. The latter project has been published but not in relation to the skill model. The skill model may very well be applied to these areas, and the authors conclude (...) that in doing so, it also brings about new ways of understanding the different domains. (shrink)

A new diagnostic modeling system for automatically synthesizing a deep‐structure model of a student's misconceptions or bugs in his basic mathematical skills provides a mechanism for explaining why a student is making a mistake as opposed to simply identifying the mistake. This report is divided into four sections: The first provides examples of the problems that must be handled by a diagnostic model. It then introduces procedural networks as a general framework for representing the knowledge underlying a (...) class='Hi'>skill. The challenge in designing this representation is to find one that facilitates the discovery of misconceptions or bugs existing in a particular student's encoding of this knowledge. The second section discusses some of the pedagogical issues that have emerged from the use of diagnostic models within an instructional system. This discussion is framed in the context of a computer‐based tutoring/gaming system developed to teach students and student teachers how to diagnose bugs strategically as well as how to provide a better understanding of the underlying structure of arithmetic skills. The third section describes our uses of an executable network as a tool for automatically diagnosing student behavior, for automatically generating “diagnostic” tests, and for judging the diagnostic quality of a given exam. Included in this section is a discussion of the success of this system in diagnosing 1300 school students from a data base of 20.000 test items. The last section discusses future research directions. (shrink)

The book offers condensed summaries of twenty-three major models of skill acquisition and expertise development presented by leading researchers during the last half a century of classic and new research. This book presents new researchers in learning, training, cognitive sciences or education disciplines with a big picture starting point for their literature review journey. The book presents an easy to understand taxonomy of twenty-three models which can give new researchers a good bird’s eye view of existing models and theories, (...) based on which they can decide which direction to dig further. The reviews in this book are complemented with over 200 authentic sources which a researcher read for detailed and deeper dive and set the direction for further exploration. This book would also act as an essential reference for training & learning professionals and instructional designers to design research-based training curriculum to develop skills of their staff. (shrink)

The author proposes a neural-network-based explanation of how a brain might acquire intuitive expertise. The explanation is intended merely to be suggestive and lacks many complexities found in even lower animal brains. Yet significantly, even this simplified brain model is capable of explaining the acquisition of simple skills without developing articulable rules for behavior or a model of the skill domain or an explicit identification of which observables in the environment are necessary for skillful behavior. Furthermore, no (...) memories of prior experiences during the learning phase are explicitly stored and accessed during behavior. The explanation thus calls into doubt many conventional and intuitively reasonable assumptions concerning the learning and production of intuitive expertise. (shrink)

The following is a summary of the author’s five-stage model of adult skill acquisition, developed in collaboration with Hubert L. Dreyfus. An earlier version of this article appeared in chapter 1 of Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer (1986, Free Press, New York).

This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), (...) with a combination of localist and distributed representation. We compare the model with human data in a minefield navigation task, demonstrating some match between the model and human data in several respects. (shrink)

top-down approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward lowlevel skill learning, where procedural knowledge develops rst and declarative knowledge develops from it. Clarionwhich follows this approach is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a mine eld navigation task. A match between the model and human data is observed in several comparisons.

We studied collaborative skill acquisition in a dynamic setting with the game Co-op Space Fortress. While gaining expertise, the majority of subjects became increasingly consistent in the role they adopted without being able to communicate. Moreover, they acted in anticipation of the future task state. We constructed a collaborative skill acquisition model in the cognitive architecture ACT-R that reproduced subject skill acquisition trajectory. It modeled role adoption through reinforcement learning and predictive processes through motion extrapolation and (...) learned relevant control parameters using both a reinforcement learning procedure and a new to ACT-R supervised learning procedure. This is the first integrated cognitive model of collaborative skill acquisition and, as such, gives us valuable insights into the multiple cognitive processes that are involved in learning to collaborate. (shrink)

The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics (...) Performance (Re-specified SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance. (shrink)

Identifying sporting talent remains a difficult task due to the complex nature of sport. Technical skill assessments are used throughout the talent pathway to monitor athletes in an attempt to more effectively predict future performance. These assessments however, largely focus on the isolated execution of key skills devoid of any game context. When assessments are representative of match-play and applied in a setting where all four components of competition (i.e., technical, tactical, physiological and psychological) are assessed within an integrated (...) approach, prediction of talent is more likely to be successful. This article explores the current talent identification technical skill assessments, with a particular focus on Australian Football, and proposes a 5-level performance assessment model for athlete assessment. The model separates technical game skill on a continuum from Level-1 (i.e., laboratory analysis) to Level-5 (i.e., match-play). These levels, using the assumptions of the expert performance model and representative learning design theory, incorporate a step-wise progression of performance demands to more closely represent match-play conditions. The proposed model will provide researchers and practitioners with a structured framework to consider when assessing, or developing, new assessments of technical game-based skill. (shrink)

Three studies using the Dreyfus model of skill acquisition were conducted over a period of 21 years. Nurses with a range of experience and reported skill-fulness were interviewed. Each study used nurses’ narrative accounts of actual clinical situations. A subsample of participants were observed and interviewed at work. These studies extend the understanding of the Dreyfus model to complex, underdetermined, and fast-paced practices. The skill of involvement and the development of moral agency are linked with (...) the development of expertise, and change as the practitioner becomes more skillful. Nurses who had some difficulty with understanding the ends of practice and difficulty with their skills of interpersonal and problem engagement did not progress to the level of expertise. Taken together, these studies demonstrate the usefulness of the Dreyfus model for understanding the learning needs and styles of learning at different levels of skill acquisition. (shrink)

We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLAR- ION is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a minefield navigation task. A (...) match between the model and human data is found in several respects. (shrink)

The results of two experiments are analyzed to find out how artistic expertise influences visual search. Experiment I comprised survey data of 1,065 students on self-reported visual memory skills and their ability to find three targets in four images of artwork. Experiment II comprised eye movement data of 50 Visual Literacy experts and non-experts whose eye movements during visual search were analyzed for nine images of artwork as an external validation of the assessment tasks performed in Sample I. No time (...) constraint was set for completion of the visual search task. A latent profile analysis revealed four typical solution patterns for the students in Sample I, including a mainstream group, a group that completes easy images fast and difficult images slowly, a fast and erroneous group, and a slow working student group, depending on task completion time and on the probability of finding all three targets. Eidetic memory, performance in art education and visual imagination as self-reported visual skills have significant impact on latent class membership probability. We present a hidden Markov model approach to uncover underlying regions of attraction that result from visual search eye-movement behavior in Experiment II. VL experts and non-experts did not significantly differ in task time and number of targets found but they did differ in their visual search process: compared to non-experts, experts showed greater precision in fixating specific prime and target regions, assessed through hidden state fixation overlap. Exploratory analysis of HMMs revealed differences between experts and non-experts in image locations of attraction. Experts seem to focus their attention on smaller image parts whereas non-experts used wider parts of the image during their search. Differences between experts and non-experts depend on the relative saliency of targets embedded in images. HMMs can determine the effect of expertise on exploratory eye movements executed during visual search tasks. Further research on HMMs and art expertise is required to confirm exploratory results. (shrink)

We assume that acting ethically is a skill. We then use a phenomenological description of five stages of skill acquisition to argue that an ethics based on principles corresponds to a beginner’s reliance on rules and so is developmentally inferior to an ethics based on expert response that claims that, after long experience, the ethical expert learns to respond appropriately to each unique situation. The skills model thus supports an ethics of situated involvement such as that of (...) Aristotle, John Dewey, and Carol Gilligan against the detached, rationalist ethics of Kant, John Rawls, Lawrence Kohlberg, and Jürgen Habermas. (shrink)

Learning disabilities are highly prevalent on college campuses, yet students with learning disabilities graduate at lower rates than those without disabilities. Academic and psychosocial supports are essential for overcoming challenges and for improving postsecondary educational opportunities for students with learning disabilities. A holistic, multi-level model of campus-based supports was established to facilitate culture and practice changes at the institutional level, while concurrently bolstering mentors’ abilities to provide learning disability-knowledgeable support, and simultaneously creating opportunities for students’ personal and interpersonal development. (...) Mixed methods were used to investigate implementation of coordinated personal, interpersonal, and institutional level supports for undergraduate science, technology, engineering, and math (STEM) students with learning disabilities. A one-group pre-test post-test strategy was used to examine undergraduate outcomes. Participants included 52 STEM undergraduates with learning disabilities, 57 STEM graduate student mentors, 34 STEM faculty mentors, and 34 university administrators and personnel as members of a university-wide council. Enrolled for two years, undergraduates were engaged in group meetings involving psychoeducation and reflective discussions, development of self-advocacy projects, and individual mentorship. Undergraduates reported improved self efficacy (p =.001), campus connection (p <.001), professional development (p ≤.002), and self advocacy (p <.001) after two academic years. Graduate student mentors increased their understanding about learning disabilities and used their understanding to support both their mentees and other students they worked with. Council members identified and created opportunities for delivering learning disability-related trainings to faculty, mentors and advisors on campus, and for enhancing coordination of student services related to learning and related disorders. Disability-focused activities became integrated in broader campus activities regarding diversity. This research explicates a role that college campuses can play in fostering the wellbeing and the academic and career development of its students with developmental learning and related disorders. It offers an empirically tested campus-based model that is multilevel, holistic, and strengths-based for supporting positive outcomes of young people with learning disabilities in STEM. Moreover, findings advance the knowledge of supports and skills that are important for self-regulating and navigating complex and multi-faceted disability-related challenges within both the post-secondary educational environment and the young adults’ sociocultural context. (shrink)

Context: Although there are rich descriptive accounts of skill acquisition in the literature, there are no satisfactory explanatory models of the cognitive processes involved. Problem: The aim of the paper is to explain some key phenomena frequently observed in the acquisition of motor skills: the loss of conscious access to knowledge of the structure of a skill and the awareness that an error has been made prior to the receipt of knowledge of results. Method: In the 1970s, the (...) first author implemented a computer program model of the cognitive processes involved in learning and skill acquisition, based on a series of empirical investigations. Recently, with assistance from the second author, the model has been reviewed, updated and re-implemented. Result: The model provides a constructivist account of skill acquisition and associated phenomena. Implications: The model adds to the understanding of motor skill acquisition and will be of interest to researchers and practitioners in physical therapy and sports science. It is also provides a constructivist cognitive architecture that can be fruitfully contrasted with non-constructivist cognitive architectures well-known in cognitive science. (shrink)

In this chapter, we will offer a sketch of the state of the art as concerns existing accounts of virtue acquisition in relation to automaticity. In particular, we will focus on the so-called “skill model,” which we aim to improve by questioning its rather common underlying dualistic picture of the mind. Then we will propose an account of skillful emotions by identifying the features that make them both automatic and embedded in an intelligent practice. Finally, we will show (...) how this view can help the skill model by offering a better description of emotion shaping in virtue acquisition. By doing so, we will contend that emotions contribute autonomously and actively to the skillfulness of the habits in which they are embedded. (shrink)

Researchers often claim that self-control is a skill. It is also often stated that self-control exertions are intentional actions. However, no account has yet been proposed of the skillful agency that makes self-control exertion possible, so our understanding of self-control remains incomplete. Here I propose the skill model of self-control, which accounts for skillful agency by tackling the guidance problem: how can agents transform their abstract and coarse-grained intentions into the highly context-sensitive, fine-grained control processes required to (...) select, revise and correct strategies during self-control exertion? The skill model borrows conceptual tools from ‘hierarchical models’ recently developed in the context of motor skills, and asserts that self-control crucially involves the ability to manage the implementation and monitoring of regulatory strategies as the self-control exercise unfolds. Skilled agents are able do this by means of flexible practical reasoning: a fast, context-sensitive type of deliberation that incorporates non-propositional representations into the formation and revision of the mixed-format intentions that structure self-control exertion. The literatures on implementation intentions and motivation framing offer corroborating evidence for the theory. As a surprising result, the skill of self-control that allows agents to overcome the contrary motivations they experience is self-effacing: instead of continuously honing this skill, expert agents replace it with a different one, which minimizes or prevents contrary motivations from arising in the first place. Thus, the more expert you are at self-control, the less likely you are to use it. (shrink)

The article contributes to the academic discussion on Paulo Freire’s pedagogical thinking as a basis for reinventing contemporary non-formal education. In Finland, Freire’s transformational/liberatory theory of adult learning was applied as a framework for developing an adult educational model called Life Skills for All. The pilot project’s case studies were carried out with different groups of people during the model’s development phase. We describe these cases and discuss what can be learned from them for offering basic and life (...) skills education for adult groups at risk of social disenfranchisement. Our case study analysis highlights some new practices and challenges based on the model’s different applications. We argue that even for basic capacity building of employment skills, it is essential to develop a non-instrumental, holistic, and societal educational approach. Elements for such an approach can be derived from both the Nordic and Freirean traditions of adult education. Also, we suggest that the Life Skills for All model benefits learners’ agency and empowerment by putting the learner at the center, combining the learning of different basic skills, and emphasizing the central role of the local community in participants’ learning activities. (shrink)

The rapid development of computers and technology affects modern daily life. Individuals in the digital age need to develop computational thinking skills. Existing studies have shown that programming teaching is conducive to cultivating students’ CT, and various learning models have different effects on the cultivation of CT. This study proposed a problem-oriented learning model that is closely related to programming and computational thinking. In all, 60 eighth-grade students from a middle school in China were divided into an experimental group (...) which adopted the POL model, and a control group which adopted the lecture-and-practice learning model. The results showed that the students who were instructed using the POL model performed better than those who were instructed using the LAP model on CT concepts, CT practices, and CT perspectives. Significant differences were found for CT concepts and CT perspectives, but not for CT practices. Findings have implications for teachers who wish to apply new learning models to facilitate students’ CT skills, and the study provides a reference case for CT training and Python programming teaching. (shrink)

An attempt is made to defend a general approach to the spatial content of perception, an approach according to which perception is imbued with spatial content in virtue of certain kinds of connections between perceiving organism's sensory input and its behavioral output. The most important aspect of the defense involves clearly distinguishing two kinds of perceptuo-behavioral skills—the formation of dispositions, and a capacity for emulation. The former, the formation of dispositions, is argued to by the central pivot of spatial content. (...) I provide a neural information processing interpretation of what these dispositions amount to, and describe how dispositions, so understood, are an obvious implementation of Gareth Evans' proposal on the topic. Furthermore, I describe what sorts of contribution are made by emulation mechanisms, and I also describe exactly how the emulation framework differs from similar but distinct notions with which it is often unhelpfully confused, such as sensorimotor contingencies and forward models. (shrink)

In this paper, we propose a framework for fostering argumentative skills in a systematic way in Philosophy and Ethics classes. We start with a review of curricula and teaching materials from the German-speaking world to show that there is an urgent need for standards for the teaching and learning of argumentation. Against this backdrop, we present a framework for such standards that is intended to tackle these difficulties. The spiral-curricular model of argumentative competences we sketch helps teachers introduce the (...) relevant concepts and skills to students early on in their school career. The focus is on secondary schools, but the proposal can also be of use for learning and teaching in universities, especially in introductory classes. (shrink)

The classical Chinese philosophical tradition (ca. 6th to 3rd centuries BCE) contains rich discussion of skill and expertise. Various texts exalt skilled exemplars (whether historical persons or fictional figures) who guide and inspire those seeking virtuosity within a particular dao (guiding teaching or way of life). These texts share a preoccupation with flourishing, or uncovering and articulating the constituents of an exemplary life. Some core features thought requisite to leading such a life included spontaneity, naturalness, and effortless ease. However, (...) there was also significant disagreement during this ‘Warring States’ or ‘Hundred Schools’ period on which skills were valuable, how one should cultivate them, and who exactly ought to serve as exemplars. In this chapter, I discuss two prominent types of expertise and their attendant skills. The first is expertise at a particular craft, occupation, or dao, which finds its most poignant celebration in the early Daoist anthology Zhuangzi. Interest in crafts or skilled occupations was likely motivated by a perceived (or implied) analogy with living a good life more generally. The second concerns ethical expertise, a prominent and widely held ideal within the Ruist (Confucian) and Mohist schools. Both maintain that ethical expertise consists of an ability to apply past models or precedents to current cases, though they diverge on what those models are and how to properly apply them. The aim is to provide non-specialists an overview of this literature in Daoism, Confucianism, and Mohism, while also providing suggestions about further research. (shrink)

Despite the prominence of the concept of virtue in contemporary ethical theory, accounts of virtue have often left readers with the impression that the virtuous person is an unattainable ideal or is just psychologically implausible. This article argues that reviving the ancient Greek idea that virtues are like practical skills can help provide a more plausible account of virtue and the virtuous person. The moral knowledge of the virtuous person is analogous to the practical knowledge of the expert in a (...) skill. Instead of relying on a reconstruction of an ancient account of skills for the comparison to virtue, this paper adapts a modem account of skill acquisition developed by Hubert and Smart Dreyfus in their research on artificial intelligence and human expertise. The skill model of virtue offers a promising direction for virtue theory, by using the research on skills to illuminate the otherwise murky concept of virtue. (shrink)

Extant models of moral judgment assume that an action’s intentionality precedes assignments of blame. Knobe (2003b) challenged this fundamental order and proposed instead that the badness or blameworthiness of an action directs (and thus unduly biases) people’s intentionality judgments. His and other researchers’ studies suggested that blameworthy actions are considered intentional even when the agent lacks skill (e.g., killing somebody with a lucky shot) whereas equivalent neutral actions are not (e.g., luckily hitting a bull’s-eye). The present five studies offer (...) an alternative account of these provocative findings. We suggest that people see the morally significant action examined in previous studies (killing) as accomplished by a basic action (pressing the trigger) for which an unskilled agent still has sufficient skill. Studies 1 through 3 show that when this basic action is performed unskillfully or is absent, people are far less likely to view the killing as intentional, demonstrating that intentionality judgments, even about immoral actions, are guided by skill information. Studies 4 and 5 further show that a neutral action such as hitting the bull’s-eye is more difficult than killing and that difficult actions are less often judged intentional. When difficulty is held constant, people’s intentionality judgments are fully responsive to skill information regardless of moral valence. The present studies thus speak against the hypothesis of a moral evaluation bias in intentionality judgments and instead document people’s sensitivity to subtle features of human action. (shrink)