An attorney with the American Civil Liberties Union (ACLU) who's overseeing a high-profile deportation case in Louisiana says she was stripped of her electronics moments before a pivotal hearing, preventing her from accessing evidence and court records that remained available to the three US government attorneys in the room, each of whom were allowed use of a laptop by the court. Louisiana immigration judge Jamee Comans ruled late last month that Columbia graduate student Mahmoud Khalil was eligible for deportation. During that hearing, however, Khalil's attorney Nora Ahmed says she was barred from bringing her laptop into the courtroom, despite having filed the proper paperwork in advance and being a frequent visitor to the immigration facility. "There should not be an advantage, no matter how small or how large, provided to a particular party over the other," says Ahmed. "Because that starts to infect the proceedings themselves and the notion of fundamental fairness that we all uphold in courtroom proceedings." The Justice Department did not respond to a request for comment.

We propose a method for obtaining character behavior diversity based on the diversity of plans enacted by characters, and demonstrate this method in a scenario in which characters have multiple choices. Using case-based planning techniques, we reuse plans for varied character behavior, which simulate different personality traits.

We study the problem of generating a set of Finite State Machines (FSMs) modeling the behavior of multiple, distinct NPCs. We observe that nondeterministic planning techniques can be used to generate FSMs by following conventions typically used when manually creating FSMs modeling NPC behavior. We implement our ideas in DivNDP, the first algorithm for automated diverse FSM generation.

The challenge with bipedal robots isn't so much getting them to walk at all (although that's sometimes a problem) as it is getting them to walk naturally. They tend to either step cautiously or quickly run into trouble. Swiss researchers think they can do better, though: they're working on COMAN (Compliant Humanoid), a headless robot designed to master walking. The automaton is more graceful through a combination of more flexible, elastic joints and a control algorithm that helps the bot understand its own body. COMAN is aware of the symmetries in its dynamics and structure, which helps it not only walk with a natural gait but carry objects, navigate uneven surfaces like stairs, and react to surprises.