This thesis considers three complications that arise from applying reinforcement learning to a real-world application. In the process of using reinforcement learning to build an adaptive electronic market-maker, we find the sparsity of data, the partial observability of the domain,…

TYPICAL is a package for describing and making automatic inferences about a broad class of SCHEME predicate functions. These functions, called types following popular usage, delineate classes of primitive SCHEME objects, composite data structures, and abstract descriptions. TYPICAL types are…

The activity of designing and developing large, complex, discrete, physical, and engineered products faces the challenges in the physical product system, the organization of people, and the larger systems in which the product resides-the natural and societal systems. This thesis…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

Software authors: Webster P. Dove and Cory Meyers ; Document author: Evangelos E. Milios., "October 1984.", Includes bibliographical references (p. 63) and index., Supported by Advanced Research Projects Agency, monitored by ONR. N00014-81-K-0742 NR-049-506. Supported by Sanders Associates, and an…

Much Learning is done by way of studying precedents and exercises. A teacher supplies a story, gives a problem, and expects a student both to solve a problem and to discover a principle. The student must find the correspondence between…

The next generation of artificial intelligence programs will require the ability to organize knowledge as groups of active objects. Each object should have only its own local expertise, the ability to operate in parallel with other objects, and the ability…

As advances in computer architecture and changing economics make feasible machines with large-scale parallelism, Artificial Intelligence will require new ways of thinking about computation that can exploit parallelism effectively. We present the actor model of computation as being appropriate for…

by Robert W. Sommer., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1992., Title as it appears in the M.I.T. Graduate List, June 1992: Building internal knowledge networks in multinational corporations, a study of cross-border research and development., Includes…

Communication over interference channels poses challenges not present for the more traditional additive white Gaussian noise (AWGN) channels. In order to approach the information limits of an interference channel, interference mitigation techniques need to be integrated with channel coding and…