The Self-Knowledge Gambit

If we hold that perceiving is sufficient for knowing, we can raise a powerful objection to dreaming skepticism: Skeptics assume the implausible KK-principle, because they hold that if we don’t know whether we are dreaming or perceiving p, we don’t know whether p. The rejection of the KK-principle thus suggests an anti-skeptical strategy: We can sacrifice some of our self-knowledge—our second-order knowledge—and thereby save our knowledge of the external world. I call this strategy the Self-Knowledge Gambit. I argue that the Self-Knowledge Gambit is not satisfactory, because the dreaming skeptic can avail herself of a normative counterpart to the KK-principle: When we lack second-order knowledge, we should suspend our first-order beliefs and thereby give up any first-order knowledge we might have had. The skeptical challenge is essentially a normative challenge, and one can raise it even if one rejects the KK-Principle.     

Exact solution of the one-dimensional Potts bridge model with competing interactions

Abstract

The exact solution of the q-state Potts bridge model with competing ferromagnetic and antiferromagnetic interactions is obtained and corresponding regular and critical behaviour studied.     

Factorial and Diagnostic Validity of the Beck Depression Inventory-II (BDI-II) in Croatian Primary Health Care

The aim of this study was to examine the factorial and diagnostic validity of the Beck Depression Inventory-Second Edition (BDI-II) in Croatian primary health care. Data were collected using a medical outpatient sample (N = 314). Reliability measured by internal consistency proved to be high. While the Velicer MAP Test showed that extraction of only one factor is satisfactory, confirmatory factor analysis indicated the best fit for a 3-factor structure model consisting of cognitive, affective and somatic dimensions. Receiver operating characteristics (ROC) analysis demonstrated the BDI-II to have a satisfactory diagnostic validity in differentiating between healthy and depressed individuals in this setting. The area under the curve (AUC), sensitivity and specificity were high with an optimal cut-off score of 15/16. The implications of these findings are discussed regarding the use of the BDI-II as a screening instrument in primary health care settings.     

Blood flow velocity changes in anterior cerebral arteries during cognitive tasks performance

Objective

Transcranial Doppler sonography (TCD) enables monitoring of blood flow velocities (BFVs) in basal cerebral arteries during different cognitive tasks performance with great temporal resolution. So far, BFVs changes during mental activity were monitored primarily in middle cerebral arteries (MCAs) and little is known about these changes in anterior cerebral arteries (ACAs).

Aim

To determine the effect of different cognitive tasks performance on BFV changes and hemispheric dominance in ACAs and to assess the most suitable activation test for monitoring of BFV changes in ACAs.

Methods

Fourteen right-handed, healthy subjects aged 20–26 were included in the study. BFVs in both ACAs were recorded simultaneously during performance of cognitive tasks designed to activate frontal lobes: phonemic verbal fluency test (pVFT), Stroop tests and Trail Making Tests (TMTs).

Results

A statistically significant BFV increase was recorded in both ACAs during performance of all cognitive tasks. Statistically significant right ACA dominance was found during performance of pVFT and TMTB. The most significant BFV increase was obtained during performance of TMTB.

Conclusion

Our result addressed cognitive tests with great activation potential for monitoring of ACAs that might be used in distinguishing of healthy individuals and patients with neurovascular or neurodegenerative diseases.     

What's wrong with promising to try?

There is often something wrong with merely promising to try to φ. In this article I explain what is wrong with such promises. I argue that a promise to try to φ, when it is entirely up to us to φ, is always wrong because it hides a possible choice under the veil of our susceptibility to circumstances beyond our control. I furthermore argue that this is often also the case when matters are not entirely up to us. Finally, I contend that sometimes the promise to try places undue burdens on the promisee.     

“Who said it?” How contextual information influences perceived profundity of meaningful quotes and pseudo-profound bullshit

Psychological research on pseudo-profound bullshit—randomly assembled buzz words plugged into a syntactic structure—has only recently begun. Most such research has focused on dispositional traits, such as thinking styles or political orientation. However, none has investigated contextual factors. In two studies, we introduce a new paradigm by investigating the contextual effect on pseudo-profound bullshit and meaningful quotes. In Study 1, all participants rated the profundity of statements in three contexts: (a) isolated, (b) as allegedly said by a famous author, or (c) within a vignette (short story). Study 2 serves as a conceptual replication in which participants rated statements in only one of three contexts. Overall, our results demonstrate that although contextual information such as author's name increases the perceived profundity of bullshit, it has an inconsistent effect on meaningful quotes. The present study helps to better understand the bullshit receptivity while offering a new line of research.     

Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior

Work in behavior-based systems focuses on functional modeling, that is, the synthesis of life-like and/or biologically inspired behavior that is robust, repeatable and adaptive. Inspiration from cognitive science, neuroscience and biology drives the development of new methods and models in behavior-based robotics, and the results tie together several related fields including artificial life, evolutionary computation, and multi-agent systems. Ideas from artificial intelligence and engineering continue to be explored actively and applied to behavior-based robots as their role in animal modeling and practical applications is being developed.