Reasoning and normative beliefs: not too sophisticated

Does reasoning to a certain conclusion necessarily involve a normative belief in support of that conclusion? In many recent discussions of the nature of reasoning, such a normative belief condition is rejected. One main objection is that it requires too much conceptual sophistication and thereby excludes certain reasoners, such as small children. I argue that this objection is mistaken. Its advocates overestimate what is necessary for grasping the normative concepts required by the condition, while seriously underestimating the importance of such concepts for our most fundamental agential capacities. Underlying the objection is the observation that normative thoughts do not necessarily cross our minds during reasoning. I show that proponents of the normative belief condition can accommodate this observation by taking the required normative belief to guide the reasoning process and offer a novel account of what such guidance consists in.     

Design and implementation of domain-specific cognitive system based on question similarity algorithm

The cognitive system is an artificial intelligence product that integrates natural language processing techniques. The biggest d on logical reasoning, which can help users improve exploration and accelerate discovery. On the basis of natural language processing and logical reasoning, the paper adopts similarity algorithm bas difference between big data analysis systems and cognitive systems is that cognitive systems can directly deal with the problems raised by natural language forms and provide predictions baseded on question sentences, designs a cognitive system for specific domains, and finally realizes it on the NAO robot platform.     

Decomposing the relationship between cognitive functioning and self-referent memory beliefs in older adulthood: what’s memory got to do with it?

With advancing age, episodic memory performance shows marked declines along with concurrent reports of lower subjective memory beliefs. Given that normative age-related declines in episodic memory co-occur with declines in other cognitive domains, we examined the relationship between memory beliefs and multiple domains of cognitive functioning. Confirmatory bi-factor structural equation models were used to parse the shared and independent variance among factors representing episodic memory, psychomotor speed, and executive reasoning in one large cohort study (Senior Odyssey, N = 462), and replicated using another large cohort of healthy older adults (ACTIVE, N = 2802). Accounting for a general fluid cognitive functioning factor (comprised of the shared variance among measures of episodic memory, speed, and reasoning) attenuated the relationship between objective memory performance and subjective memory beliefs in both samples. Moreover, the general cognitive functioning factor was the strongest predictor of memory beliefs in both samples. These findings are consistent with the notion that dispositional memory beliefs may reflect perceptions of cognition more broadly. This may be one reason why memory beliefs have broad predictive validity for interventions that target fluid cognitive ability.     

Probability,Approximate Truth,and Truthlikeness: More Ways out of the Preface Paradox

The so-called Preface Paradox seems to show that one can rationally believe two logically incompatible propositions. We address this puzzle, relying on the notions of truthlikeness and approximate truth as studied within the post-Popperian research programme on verisimilitude. In particular, we show that adequately combining probability, approximate truth, and truthlikeness leads to an explanation of how rational belief is possible in the face of the Preface Paradox. We argue that our account is superior to other solutions of the paradox, including a recent one advanced by Hannes Leitgeb (Analysis 74.1).     

Local pragmatics: reply to Mandy Simons

In response to Mandy Simons’ defence of a classical Gricean approach to pragmatic enrichment in terms of conversational implicature, I emphasize the following contrast. Conversational implicatures are generated by a global inference which uses as a premise the fact that the speaker has said that p, but only the triggering inference is global in cases of pragmatic enrichment. What generates the correct interpretation is a process of reconstrual, which locally maps the literal meaning of a constituent to a modulated meaning and composes that meaning with that of the other constituents. That process is constrained by Gricean considerations (in the broad sense) but that is true of all pragmatic aspects of interpretation, whether pre-propositional or post-propositional. Just as indexical resolution, though pragmatic and constrained by Gricean considerations, does not fit the two-stage model through which Grice accounts for conversational implicatures, so pragmatic modulation can’t be accounted for in terms of that model despite the fact that, like conversational implicatures and unlike indexical resolution, modulation is pragmatically rather than semantically triggered.     

员工非伦理行为如何招致同事攻击:道义公正视角

通过整合理性判断与道义公正模型,聚焦非伦理行为实施者被同事攻击的现象,提出员工的非伦理行为导致同事道义不公正,进而引发同事的攻击行为。并且,这个过程分别受到伦理领导的正向影响和任务互依性的负向影响。通过分析265组来自浙江省一家大型制造企业一线员工的双点数据,结果表明同事道义不公正在员工非伦理行为与其被同事攻击之间起到了中介作用;伦理领导正向调节了非伦理行为对同事道义不公正的影响,即伦理领导增强了员工非伦理行为对同事道义不公正的正向作用,从而导致同事攻击行为的产生;任务互依性负向调节了同事道义不公正与攻击行为之间的正向关系,并且减弱了同事道义不公正在员工非伦理行为与攻击行为之间的中介作用。研究结果为控制和预防职场非伦理行为提供了理论依据和实践启示。     

Die‐by Framing both Lengthens and Shortens Life: Further Evidence on Constructed Beliefs in Life Expectancy

Decisions regarding consumption over the lifespan require some estimate of how long that lifespan is likely to be. Payne et al. (2013) found that respondents' estimates of their own life expectancy are on average 8.6 years shorter when elicited using a die‐by frame than when elicited by a live‐to frame. If decision makers act on these life expectancies, then an arbitrary detail of framing will lead to drastically different choices. We propose that the framing effect is sensitive to the iterative probabilistic elicitation procedure employed by the previous literature. Study 1 compares the framing effect across the iterative probabilistic procedure and a point estimate procedure that simply asks respondents the age they will live to/die by. The iterative probabilistic procedure implies a life expectancy six years shorter in the die‐by frame than in the live‐to frame, replicating the results of Payne et al. (2013). With the point estimate procedure, however, the framing effect reverses: the die‐by frame increases life expectancy by three years. In Study 2, we test for the framing effect using a point estimate procedure on a representative sample of 2000 Britons. Again, and in contrast with the previous literature, we find that the die‐by frame implies longer life. Our results reinforce the previous literature that beliefs around life expectancy are constructed. We recommend caution when attempting to debias life expectancy estimates or using life expectancies in choice architecture. Copyright © 2017 John Wiley & Sons, Ltd.     

Categories of Large Numbers in Line Estimation

How do people stretch their understanding of magnitude from the experiential range to the very large quantities and ranges important in science, geopolitics, and mathematics? This paper empirically evaluates how and whether people make use of numerical categories when estimating relative magnitudes of numbers across many orders of magnitude. We hypothesize that people use scale words—thousand, million, billion—to carve the large number line into categories, stretching linear responses across items within each category. If so, discontinuities in position and response time are expected near the boundaries between categories. In contrast to previous work (Landy, Silbert, & Goldin, 2013) that suggested only that a minority of college undergraduates employed categorical boundaries, we find that discontinuities near category boundaries occur in most or all participants, but that accurate and inaccurate participants respond in opposite ways to category boundaries. Accurate participants highlight contrasts within a category, whereas inaccurate participants adjust their responses toward category centers.     

Reconciling Compensatory and Noncompensatory Strategies of Cue Weighting: A Causal Model Approach

When forming a judgment about any unknown item, people must draw inferences from information that is already known. This paper examines causal relationships between cues as a relevant factor influencing how people determine the amount of weight to place on each piece of available evidence. We propose that people draw from their beliefs about specific causal relationships between cues when determining how much weight to place on those cues, and that understanding this process can help reconcile differences between predictions of compensatory and lexicographic heuristic strategies. As causal relationships change, different cues become more or less important. Across three experiments, we find support for the use of causal models in determining cue weights, but leave open the possibility that they work in concert with other strategies as well. We conclude by discussing relative strengths and weaknesses of the causal model approach relative to existing models, and suggest areas for future research. Copyright © 2016 John Wiley & Sons, Ltd.