Understanding and the Norm of Explanation

I propose and defend the hypothesis that understanding is the norm of (the speech act of) explanation. On this proposal, an explanation should express understanding. I call this the understanding account of explanation. The understanding account is supported by social and introspective observations. It is also supported by the relationship between knowledge and understanding, on the one hand, and assertion and explanation, on the other.     

The Politics of Paradox: Leo Strauss’s Biblical Debt to Spinoza (and Kierkegaard)

The political philosopher Leo Strauss is famous for contending that any synthesis of reason and revelation is impossible, since they are irreconcilable antagonists. Yet he is also famous for praising the secular regime of liberal democracy as the best regime for all human beings, even though he is well aware that modern philosophers such as Spinoza thought this regime must make use of biblical morality to promote good citizenship. Is democracy, then, both religious and secular? Strauss thought that Spinoza was contradictory in teaching that reason and revelation should be separated from each other while also insisting that a secular democratic politics still requires the biblical morality of charity (love thy neighbor as thyself). The paradox that liberal democracy is both religious and secular, which is central to Spinoza, was dismissed by Strauss as a Machiavellian subterfuge or the cynical attempt to use religion for political purposes. In order to adhere to his dualistic separation of reason and revelation, Strauss turned to ancient Greek political philosophy, particularly the ideas of Plato and Aristotle, as the true ground of liberal democracy since this classical tradition was never exposed to biblical revelation. Yet, the illiberal and hierarchical implications of Greek political thought, which clash with Strauss’s modern views on human individuality and dignity, ultimately take him back to the biblically based philosophies of Spinoza and Kierkegaard, who teach the paradox that the Bible is the true foundation of human freedom.     

Effects of prior juror experience on jury sentencing

The effect of prior juror service on jury sentencing was investigated in an archival study of 143 criminal trials resulting in convictions. Trials took place over two calendar years in a state circuit court requiring jurors to serve 30-day terms. Jurors sentenced defendants in each case according to a set of guidelines determined by trial judges. The severity of the sentences imposed by jurors was rated by 101 subjects on a scale of 1 (least severe) to 100 (most severe). The results indicated that the more experienced juries gave significantly more severe sentences than did the less experienced juries. This finding was unchanged when civil court experience was considered in addition to criminal court experience. Possible interpretations of these results are discussed.     

A grouping interpretation of the modality effect in immediate probed recognition

In a series of experiments on immediate probed recognition for eight 3-digit numbers, it was shown that if the target modality involved auditory components and the effect of the similarity of the modality of the probe to that of the targets was controlled, unequivocal evidence was obtained for an auditory superiority effect (modality effect) for hit rates for the final items of the list. Moreover, false-alarm rates were significantly lower following targets with an auditory component than they were following silently seen targets. It is argued that this pattern of hits and false alarms is consistent with the idea that targets that have an auditory component yield memory representations that are better grouped as units than are those for targets that are only silently seen; in particular, if a new probe has a first digit that accidentally matches the first digit of a target item, it is more likely that the subject will mistakenly identify this new probe as old (give a false alarm) if the target has only been partially encoded because it was only silently seen.     

The puzzle of language evolution

Linguistics must again concentrate on the evolutionary nature of language, so that language models are more realistic with respect to human natural languages and have a greater explanatory force. Multi-agent systems are proposed as a possible route to develop such evolutionary models and an example is given of a concrete experiment in the origins and evolution of word-meaning based on a multi-agent approach.     

Knowledge level learning and the power law: A soar model of skill acquisition in scheduling

Zusammenfassung. Das hier vorgestellte Modell lernt graduell, Planungsaufgaben aus der Klasse der Maschinenbelegungsprobleme (job-shop-scheduling problems) zu lösen. Mit Hilfe des Chunking-Mechanismus von Soar wird episodisches Wissen über die Belegungsreihenfolge von Aufträgen auf Maschinen memoriert. Bei der Entwicklung des Modells wurden zahlreiche qualitative (z. B. Transfereffekte) und quantitative Befunde (z. B. Bearbeitungszeiten) aus einer früheren empirischen Untersuchung berücksichtigt. In einer Validierungsstudie wurden dieselben Aufgaben von 14 Probanden und dem Modell bearbeitet. Die Passung von Simulationsdaten und empirischen Ergebnissen fiel insgesamt gut aus. Allerdings löst das Modell die Aufgaben schneller und zeigt auch einen etwas besseren Lernverlauf als die Probanden. Das Modell liefert eine Erklärung für das Rauschen, das typischerweise bei Bearbeitungszeiten zu beobachten ist: es handelt sich um erworbenes Wissen, das mehr oder weniger gut und auch unterschiedlich häufig auf neue Situationen übertragen wird. Der Lernverlauf der Probanden entspricht nur für aggregierte Daten einer Potenzfunktion (power law). Der vorgestellte Mechanismus zeigt, wie ein symbolisches Modell der Informationsverarbeitung graduelle Verhaltensänderungen generiert und wie der offensichtliche Erwerb allgemeiner Prozeduren ohne explizites Lernen von deklarativen Regeln erfolgen kann. Es wird nahegelegt, daß es sich hier um die Modellierung einer Form impliziten Lernens handelt. Summary. The model presented here gradually learns how to perform a job-shop scheduling task. It uses Soar's chunking mechanism to acquire episodic memories about the order to schedule jobs. The model was based on many qualitative (e.g., transfer effects) and quantitative (e.g., solution time) regularities found in previously collected data. The model was tested with new data where scheduling tasks were given to the model and to 14 subjects. The model generally fit these data with the restrictions that the model performs the task (in simulated time) faster than the subjects, and its performance improves somewhat more quickly than the subjects' performance. The model provides an explanation of the noise typically found in problem solving times - it is the result of learning actual pieces of knowledge that transfer more or less to new situations but rarely by an average amount. Only when the data are averaged (i.e., over subjects) does the smooth power law appear. This mechanism demonstrates how symbolic models can exhibit a gradual change in behavior and how the apparent acquisition of general procedures can be performed without resorting to explicit declarative rule generation. We suggest that this may represent a type of implicit learning.