Polycultural agroecosystems, such as rangelands, are too complex and poorly understood to permit precise numerical simulation. Management decisions that depend on behavioral predictions of such ecosystems therefore require a variety of knowledge sources and reasoning techniques. Our approach to designing a computer system that provides advice concerning such ecosystems is to incorporate various...

We present 11.1 to 37.1 μm imaging observations of the very dense molecular cloud core MM1 in G034.43+00.24 using FORCAST on SOFIA and submillimeter (submm) polarimetry using SHARP on the Caltech Submillimeter Observatory. We find that at the spatial resolution of SOFIA, the point-spread function (PSF) of MM1 is consistent with being a single source, as expected based on millimeter (mm) and sub...

This paper is devoted to the characterization of an extended family of continuous-time autoregressive moving average (CARMA) processes that are solutions of stochastic differential equations driven by white Lévy innovations. These are completely specified by: 1) a set of poles and zeros that fixes their correlation structure and 2) a canonical infinitely divisible probability distribution that ...

CARMA is an advisory system that uses artificiallyintelligent techniques including case-based reasoning to provide advice about the most environmentally and economically effective responses to grasshopper infestations. CARMA’s core AI reasoner was initially written in Common Lisp and integrated with an Allegro Common Lisp for Windows graphical user interface (GUI). CARMA went public in 1996 and...

Abstract The CARMA-NTG protocol is presented and analyzed. CARMA-NTG dynamically divides the channel into cycles of variable length; each cycle consists of a contention period and a group-transmission period. During the contention period, a station with one or more packets to send competes for the right to be added to the group of stations allowed to transmit data without collisions; this is do...