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Benjamin Davies

Publications and source records attributed to Benjamin Davies.

7 recordsLinked to original sources

Course design in the age of AI

I develop a model of learning-by-doing and course design, and use it to study the impacts of artificial intelligence (AI). A myopic student faces a sequence of tasks that he can work on or delegate to AI. Work requires costly effort but builds skill; delegation requires no effort but builds no skill. A teacher designs the task sequence ("course") to maximize the student's skill development, given his choices to work or delegate. Without AI, the teacher makes earlier tasks more effort-intensive and later tasks more skill-intensive. With AI, the teacher must redesign early tasks to induce effort, leading to less skill development. If AI complements effort, then improvements in AI quality make high-skill students learn faster but low-skill students learn slower.

econ.TH

Persistence, patience and costly information acquisition

A forward-looking agent observes signals of a state that follows a Gaussian AR(1) process. He balances the cost of having imprecise beliefs with the cost of acquiring more precise signals. I characterize his optimal information acquisition policy, and analyze how his steady-state beliefs and costs depend on persistence (the AR(1) parameter) and patience (the agent's discount factor). Higher persistence has a non-monotone effect on belief precision and raises overall costs. Higher patience makes beliefs more precise and lowers overall costs.

econ.TH

The value of conceptual knowledge

We study the instrumental value of conceptual knowledge when making statistical decisions. Such knowledge tells agents how unknown, payoff-relevant states relate. It is distinct from the statistical knowledge gained from observing signals of those states. We formalize this distinction in a tractable framework used by economists and statisticians. Conceptual knowledge is valuable because it empowers agents to design more informative signals. It is more valuable when states are more "reducible": when they can be explained with fewer common concepts. Its value is non-monotone in the number of signals and vanishes when agents have infinitely many signals. Agents who know more concepts can attain the same payoffs with fewer signals. This is especially true when states are highly reducible.

econ.TH

Estimating sample paths of Gauss-Markov processes from noisy data

I derive the pointwise conditional means and variances of an arbitrary Gauss-Markov process, given noisy observations of points on a sample path. These moments depend on the process's mean and covariance functions, and on the conditional moments of the sampled points. I study the Brownian motion and bridge as special cases.

math.ST

Learning about a changing state

A long-lived Bayesian agent observes costly signals of a time-varying state. He chooses the signals' precisions sequentially, balancing their costs and marginal informativeness. I compare the optimal myopic and forward-looking precisions when the state follows a Brownian motion. I also compare the myopic precisions induced by other Gaussian processes.

econ.TH

Why do experts give simple advice?

An expert tells an advisee whether to take an action that may be good or bad. He may provide a condition under which to take the action. This condition predicts whether the action is good if and only if the expert is competent. Providing the condition exposes the expert to reputational risk by allowing the advisee to learn about his competence. He trades off the accuracy benefit and reputational risk induced by providing the condition. He prefers not to provide it -- i.e., to give "simple advice" -- when his payoff is sufficiently concave in the posterior belief about his competence.

econ.TH

Flexible terahertz photonic light-cage modules for in-core sensing and high temperature applications

Terahertz (THz) technology is a growing and multi-disciplinary research field, particularly for sensing and telecommunications. A number of THz waveguides have emerged over the past years, which are set to complement the capabilities of existing and bulky free space setups. In most designs however, the guiding region is physically separated from the surroundings, making interactions between light and the environment inefficient. We present photonic THz light cages (THzLCs) operating at THz frequencies, consisting of free-standing dielectric strands, which guide light within a hollow core with immediate access to the environment. We show the versatility and design flexibility of this concept, by 3D-printing several cm-length-scale modules using a single design and four different polymer- and ceramic- materials, which are either rigid, flexible, or resistant to high temperatures. We characterize propagation- and bend-losses for straight- and curved- waveguides, which are of order ~1 dB/cm in the former, and ~2-8 dB/cm in the latter for bend radii below 10 cm, and largely independent of the material. Our transmission experiments are complemented by near-field measurements at the waveguide output, which reveal antiresonant guidance for straight THzLCs, and a deformed fundamental mode in the bent waveguides, in agreement with numerical conformal mapping simulations. We show that these THzLCs can be used either as: (i) flexible, reconfigurable, and bendable modular assemblies; (ii) in-core sensors of structures contained directly inside the hollow core; (iii) high-temperature sensors, with potential applications in industrial monitoring. These THzLCs are a novel and useful addition to the growing library of THz waveguides, marrying the waveguide-like advantages of reconfigurable, diffractionless propagation, with the free-space-like immediacy of direct exposure to the surrounding environment.

physics.optics