Disrupt Yourself: Master Relentless Change and Speed Up Your Learning Curve

Mind Change Speed-up for Learning Languages from Positive Data

Within the frameworks of learning in the limit of indexed classes of recursive languages from positive data and automatic learning in the limit of indexed classes of regular languages (with automatically computable sets of indices), we study the problem of minimizing the maximum number of mind changes FM(n) by a learner M on all languages with indices not exceeding n. For inductive inference of...

Taking Charge of Yourself and Your Work

The climate change learning curve

The purpose of this paper is to confront economic models of climate change with the reality that limited information exists with which to form expectations about the evolution of the climate. A key element in the tension between those who believe we should impose aggressive climate change mitigation policies and those who do not is the question of if we are merely in a long period of shock-indu...

Immunity to change: how to overcome it and unlock the potential in yourself and your organization

With ‘Immunity to Change’ Kegan and Lahey address the mystery of personal and organizational change in an original way. Their main message is that individuals, groups and organizations are not blocked by fears for change—as many claim—but more by existing, hidden mindsets. And, that most have not, yet, found ways to understand these mindsets and, therefore, have not learned to overcome them. Th...

Cleaning up after yourself

Performing cleanup actions such as restoring a variable or closing a file used to be impossible to guarantee in Forth before Forth-94 gave us catch. Even with catch, the cleanup code can be skipped due to user interrupts if you are unlucky. We introduce a construct that guarantees that the cleanup code is always completed. We also discuss a cheaper implementation approach for cleanup code than ...