The duraticn of the neuro'ogical signs is 7.2 hours.

Ihe control problem--which of its potential actions should an Al system perform at each point in the problem -solving process?-- is fundamental to all cognitive processes. To solve the control problem intelligently, Al systems should achieve (at least) the seven behavioral goals set forth in this paper. The paper proposes a blackboard model of control and shows how it achieves the goals. The pdper contrasts the model with three alternative control models and shows how it continues an evolutionary progression of control architectures.

To perform these diagnoses, DART must frequently determine how the hardware's primary inputs can be manipulated to produce desired test conditions at internal nodes. Especially when the system's behavior is time-dependent, this reasoning must be carefully controlled, or a combinatorial explosion may result. This paper contrasts two techniques for representing time-dependent digital system behavior and controlling reasoning to achieve desired hardware states. 2

A central process in any learning experience is the incorporation of a new fact into an existing theory. Often the goal of that process is more specific, to learn some new fact about some concept. But what does it mean to claim that a sentence is new, and even more interesting, what qualifies as a novel fact about some concept? Despite the vast interest in learning and the abundance of related papers (cf.

Effective communication is fundamental to many definitions of intelligence, including Turing's test [23]. The communication between computers and humans, which is only one aspect of this general topic, is the basic concern of this research. Effective communication requires competence in two related areas: interpretation of messages and generation of messages. Effective generation must take into account how messages are going to be interpreted, and successful interpretation must take into account how and why messages are generated. This thesis proposal describes research on the generation of effective communication by a computer system for a human user of that system.

Table 1: Measured comparison of three control strategies.

These paradigms include 1) clinical algorithms, 2) statistical analysis of collections of patient data, 3) mathematical models of physical processes, 4) decision analysis.

Each proceeds by an asynchronous, concurrent message communication protocol was described within Palladio passing between nodes. A node in the grid is composed of by an associated behavior defined for the communication a communication chip and a local processor with local chip. The behavior was expressed from a circuitspecific behavioral perspective based on the concept of message passing.

Ability to learn 19 3.2.11

A more general kind of sequence-prediction problem--the non-deterministic prediction problem--is defined, and a general methodology for its solution presented. The methodology, called SPARC, employs multiple description models to guide the search for plausible sequence-generating rules. Three different models are presented along with algorithms for instantiating them to discover rules. The instantiation process requires that the initial input sequence be substantially transformed to make explicit important features of the sequence. Four different data transformation operators arc described. The architecture of a system called SPARC/E is presented, which implements most of the methodology for discovering sequence-generating rules in the card game Elcusis. Examples of the execution of SPARC/E are presented.