The following statement is a report of the Committee on Philosophy in Education of the American Philosophical Association and was approved by the Association's Board of Officers in September, 1959. The Committee was composed of the following: C. W. Hendel, Chairman, H. G. Alexander, R. M. Chisholm, Max Fisch, Lucius Garvin, Douglas Morgan, A. E. Murphy, Charner Perry, and R. G. Turnbull. Primary responsibility for the preparation of this report belonged to a subcommittee composed of Roderick M. Chisholm, Chairman, (...) H. G. Alexander, Lewis Hahn, Paul C. Hayner, and Charles W. Hendel. (shrink)

These suggestions for the betterment and elucidation of the text of the De Beneficiis are additional to those already published in the Classical Quarterly in January, 1934. They are based on a conviction much deepened since that time that Buck1 is right when he says: N allein, und zwar ohne seine Ueberarbeitungen von späteren Händen, darf die Grundlage des Textes von de beneficiis bilden. Préchac3, the latest critical editor in this field, substantially confirms Buck's sweeping conclusion by an independent survey (...) of the evidence. The readings designated in the Teubner text3 as N2 and N3 are themselves conjectures, not readings drawn from independent sources of testimony, and as conjectures they must be judged. Gertz4 had long before discerned the truth even if he seemed somewhat cavalier in his attitude toward other manuscripts than N. (shrink)

The medial prefrontal cortex (mPFC) has been the subject of intense interest as a locus of cognitive control. Several computational models have been proposed to account for a range of effects, including error detection, conflict monitoring, error likelihood prediction, and numerous other effects observed with single-unit neurophysiology, fMRI, and lesion studies. Here, we review the state of computational models of cognitive control and offer a new theoretical synthesis of the mPFC as signaling response–outcome predictions. This new synthesis has two interacting (...) components. The first component learns to predict the various possible outcomes of a planned action, and the second component detects discrepancies between the actual and intended responses; the detected discrepancies in turn update the outcome predictions. This single construct is consistent with a wide array of performance monitoring effects in mPFC and suggests a unifying account of the cognitive role of medial PFC in performance monitoring. (shrink)

In the past two decades, reinforcement learning has become a popular framework for understanding brain function. A key component of RL models, prediction error, has been associated with neural signals throughout the brain, including subcortical nuclei, primary sensory cortices, and prefrontal cortex. Depending on the location in which activity is observed, the functional interpretation of prediction error may change: Prediction errors may reflect a discrepancy in the anticipated and actual value of reward, a signal indicating the salience or novelty of (...) a stimulus, and many other interpretations. Anterior cingulate cortex has long been recognized as a region involved in processing behavioral error, and recent computational models of the region have expanded this interpretation to include a more general role for the region in predicting likely events, broadly construed, and signaling deviations between expected and observed events. Ongoing modeling work investigating the interaction between ACC and additional regions involved in cognitive control suggests an even broader role for cingulate in computing a hierarchically structured surprise signal critical for learning models of the environment. The result is a predictive coding model of the frontal lobes, suggesting that predictive coding may be a unifying computational principle across the neocortex. (shrink)