Exploratory exploitation and exploitative exploration: The phenomenology of play and the computational dynamics of search.

I argue for a more complicated but nonetheless computationally feasible and algorithmically intelligible interplay between exploration and exploitation and for admitting into our conceptual toolkit regimes of exploitative exploration and exploratory exploitation that can enhance the novelty and usefulness of the results of either problemistic or serendipitous search.

Regulator and agent sophistication as an explanation-generating engine for proxy failure dynamics.

I consider the dynamics of regulator-agent interactions in situations in which there are significant mismatches in their abilities to discern and register information and calculate and act upon successful inferences.

Explananda and explanantia in deep neural network models of neurological network functions.

Depending on what we mean by "explanation," challenges to the explanatory depth and reach of deep neural network models of visual and other forms of intelligent behavior may need revisions to both the elementary building blocks of neural nets (the explananda) and to the ways in which experimental environments and training protocols are engineered (the explanantia). The two paths assume and imply sharply different conceptions of how an explanation explains and of the explanatory function of models.

A source- and channel-coding approach to the analysis and design of languages and ideographies.

Can we explain the advantage natural languages enjoy over ideographies in a way that enables us to attempt the design of an ideography that "works"? I deploy an adapted version of Shannon's source- and channel-coding partitioning of a communication system to explain the communicative dynamics and shortfalls of ideographies, and reveal ways in which entrenchable, generalist ideographies could be designed.

Probably, approximately useful frames of mind: A quasi-algorithmic approach.

Frames for interpreting situations are necessary in the face of time constraints for action and indeterminacy of the "right or optimal thing to do" given multiple objectives but not all frames are equally useful. We need a way of modeling representational frames according to the informational gain of using them and the computational cost of synthesizing a decisive reason for acting from them.

Capital versus talent. The battle that's reshaping business.

For much of the twentieth century, labor and capital fought bitterly for control of the industrialized economy. The titans of industry ultimately won a resounding victory over the unions, but the story doesn't end there. In today's economy, value is largely the product of knowledge and information. Companies cannot generate profits without the ideas, skills, and leadership capabilities of knowledge workers. It's these factors--not technologies, not factories, and certainly not capital--that give the most successful companies their unique advantages. As knowledge workers come to realize this, and see that the demand for their talent outstrips the supply, they are steadily wresting more and more of the profits from shareholders. This time the battle is between the sources of capital and the producers of value, and how it will end is far from clear. The roots of the current conflict lie in the twentieth-century shift from industrial to managerial capitalism and the creation of a new class of professional talent, the authors explain. Since the arrival of the information-based economy in the past decade, tensions have escalated. The dramatic rise of CEO pay--and the public fire it has drawn--is a telling symptom. With this new battle, we're also witnessing a fundamental change in the political alignment of capital. The Left is now siding with "the common shareholder" against the well-compensated top tier of the labor pool. Shareholders seeing an unprecedented proportion of the return on their investments siphoned off to employees may well ask, is there no end to it? Increasingly, it's human capital that is the basis of value, and financial capital has become far more generic than shareholders would like to believe. The growing tensions between shareholders and managers cannot be ignored, and capitalism is at a crossroads--again.

False memories of the future: a critique of the applications of probabilistic reasoning to the study of cognitive processes.

The authors argue that the ways in which people-scientists and laymen-use probabilistic reasoning is predicated on a set of often questionable assumptions that are implicit and frequently go untested. They relate to the correspondence between the terms of a theory and the observations used to validate the theory and to the implicit understandings of intention and prior knowledge that arise between the conveyer and the receiver of information. The authors show several ways in which the use of probabilistic reasoning rests on a priori commitments to a partitioning of an outcome space and demonstrate that there are many more assumptions underlying the use of probabilistic reasoning than are usually acknowledged. They unfold these assumptions to show how several different interpretations of the same results in behavioral decision theory and cognitive psychology are equally well supported by "the facts." They then propose a more comprehensive approach to mapping cognitive processes than those currently used, one that is based on the analysis of all of the relevant alternative interpretations presented in the article.