This article examines the prisoner's dilemma paradox and argues that confessing is the rational choice, despite this probably entailing a less-than-ideal outcome.

Humans do two types of actions, polimorphic actions and mimeomorphic actions. The ability to carry out polimorphic actions cannot be mastered outside of socialization. Mimeomorphic actions, however, can be learned in other ways; sometimes, they can be learned away from the context of practice. Polimorphic actions cannot be mimicked by machines, but some mimeomorphic actions can. Other mimeomorphic actions are too complex to mechanize. Actions that cannot be mechanized because they are physically complicated should not be confused with actions that (...) cannot be mechanized because socialization is needed to master them. The analysis has implications for recent debates concerning the differences and similarities between humans and machines. The implica tion of the analysis is that much more can be understood about the relationship between humans and machines if the difference is treated as being a consequence of the unique properties of human societies. In this article, the analysis is applied to cardiac catheteriza tion, pacemaker implantation, simulation of bodies, and work in a medical "SkillsLab.". (shrink)

This article discusses minimal model explanations, which we argue are distinct from various causal, mechanical, difference-making, and so on, strategies prominent in the philosophical literature. We contend that what accounts for the explanatory power of these models is not that they have certain features in common with real systems. Rather, the models are explanatory because of a story about why a class of systems will all display the same large-scale behavior because the details that distinguish them are irrelevant. This story (...) explains patterns across extremely diverse systems and shows how minimal models can be used to understand real systems. (shrink)

Arthur Collins's succinct, revisionist exposition of Kant's _Critique of Pure Reason_ brings a new clarity to this notoriously difficult text. Until recently most readers, ascribing broadly Cartesian assumptions to Kant, have concluded that the _Critique_ advances an idealist philosophy, because Kant calls it "transcendental idealism" and because the work abounds in apparent confirmations of that interpretation. Collins maintains not only that this reading of Kant is false but also that it conceals Kant's real achievements. To counter it, he (...) addresses the themes and passages in the _Critique_ that seem to require an idealist thesis and shows how they may be better understood without ascribing any idealist philosophy to Kant. His account coheres with Kant's explicit "refutations" of idealism, it fits Kant's rejection of the imputation of idealism to him by early critics and readers, and it validates Kant's contention that the second edition of the _Critique_ changes the expression but not the doctrine of the first. (shrink)

Action explanations like ‘I am heading to the ferry because the bridge is closed,’ are supposed to require restatement: ‘I am... because I believe the bridge is closed,’ because (i) the objective claim may be false though the intended explanation is correct, and (ii) because objective circumstances have to be cognitively mediated if they are to bear on action. This supposition is rejected here. Restatements cannot withdraw the objective claim without withdrawing the explanation. In the context of reason‐giving, belief statements (...) do not function as assertions about the inner life. The fact that belief statements may be true though the belief itself is false creates the illusion of distinctive subject matters. The illusion is exploited by conceptions of belief positing stored representations. Even if there were such representations, retrieved for the sake of expressing previously acquired beliefs, the expression of belief must endorse p and cannot merely advert to the existence and content of a representation. The reverse of the standard philosophical view about restatement is actually correct. Wherever an agent correctly adduces a belief that an objective circumstance obtains in explaining his action, a de‐psychologizing restatement that merely makes the objective claim must be ascribable to the agent. (shrink)

Brian Garrett constructs cases satisfying Andy Hamilton’s definition of weak q‐memory. This does not establish that a peculiar kind of memory is at least conceptually coherent. Any ‘apparent memory experiences’ that satisfy the definition turn out not to involve remembering anything at all. This conclusion follows if we accept, as both Hamilton and Garrett do, a variety of first‐person authority according to which memory judgements may be false, but not on the ground that someone other than the remembering subject had (...) the remembered experience. Garrett’s brain‐bisection illustration sounds convincing, but only because we retain the idea that the subjects created by implanting a hemisphere each in two different bodies are entitled to say that they remember experiences before the surgery in the ordinary sense. To that extent the illustration presents a case of ordinary memory, not q‐memory. (shrink)

The US neutrino community gathered at the Workshop on the Intermediate Neutrino Program at Brookhaven National Laboratory February 4-6, 2015 to explore opportunities in neutrino physics over the next five to ten years. Scientists from particle, astroparticle and nuclear physics participated in the workshop. The workshop examined promising opportunities for neutrino physics in the intermediate term, including possible new small to mid-scale experiments, US contributions to large experiments, upgrades to existing experiments, R&D plans and theory. The workshop was organized into (...) two sets of parallel working group sessions, divided by physics topics and technology. Physics working groups covered topics on Sterile Neutrinos, Neutrino Mixing, Neutrino Interactions, Neutrino Properties and Astrophysical Neutrinos. Technology sessions were organized into Theory, Short-Baseline Accelerator Neutrinos, Reactor Neutrinos, Detector R&D and Source, Cyclotron and Meson Decay at Rest sessions.This report summarizes discussion and conclusions from the workshop. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

Managers of organizations should be aware of the attitudes of employees concerning whistleblowing. Employee views should affect how employers choose to respond to whistleblowers through the evolving law of wrongful discharge.This article reports on a survey of employee attitudes toward the legal protection of whistleblowers and presents an analysis of the results of that survey.

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain (...) in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)