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Blackboard Systems


The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures

AI Magazine

The first blackboard system was the HEARSAY-II speech understanding system (Erman et al.,1980) that evolved between 1971 and 1976. Subsequently, many systems have been built that have similar system organization and run-time behavior. The objectives of this article are (1) to define what is meant by "blackboard systems" and (2) to show the richness and diversity of blackboard system designs. The article begins with a discussion of the underlying concept behind all blackboard systems, the blackboard model of problem solving. In order to bridge the gap between a model and working systems, the blackboard framework, an extension of the basic blackboard model is introduced, including a detailed description of the model's components and their behavior.


Zoea -- Composable Inductive Programming Without Limits

arXiv.org Artificial Intelligence

The abstraction levels represent a general progression from the test cases through available and derived values to partial and complete solutions. The abstraction levels include: - test cases; - input and output elements; - derived values (symbolic and numeric); - code fragments; - target values; - case solutions; - case set solutions; - program solutions; - solution code. The data on the blackboard represents a set of more or less promising solution fragments at different stages of identification, characterisation and elaboration. It is worth noting that progression from test cases to solution code is not a strictly linear process. Instead knowledge sources respond to changes at one or more specific abstraction levels to produce, enhance or remove elements on different levels. The blackboard model allows this to happen in more or less any order.


650

AI Magazine

The emergence of the blackboard architecture as a widely used paradigm for problem solving led us and other members of the blackboard research community to organize a workshop. The workshop was held during the 1987 American Association for Artificial Intelligence Conference in Seattle. The main purpose of the workshop was to highlight the advances in blackboard architectures since the introduction of the paradigm in Hearsay-II and identify issues relevant to future blackboard system research. This article describes the issues raised and the discussions in each of the five workshop panels. Highlights of the discussions follow.


528

AI Magazine

"The Advanced Computational Methods Center, University of Georgia," see Nute, Donald. "An AI-Based Methodology for Factory Design" see Fisher, Edward L. "Artificial Intelligence: A Rand Perspective," see Klahr, Philip. "Artificial Intelligence and Ethics: An Exercise in the Moral Imagination," see LaChat, Michael R. "AI in Manufacturing at Digital," see Lynch, Frank. "Artificial Intelligence Research and Applications at the NASA Johnson Space Center," see Healey, Kathleen Jurica. "Artificial Intelligence Research in Progress at the Courant Institute, New York University," see Davis, Ernest.


Large-Scale, Reliable Standardized Assessment Using Blackboard Learn - TLC EMEA

#artificialintelligence

Blackboard Learn's advanced assessment capabilities match or exceed those of many dedicated commercial online testing platforms. In this session, Paul Barney, Supervisor of Curriculum and Assessment at the Higher Colleges of Technology, and Azim Ahmed, Ed Tech Senior Project Manager, demonstrate how their institution uses Blackboard to reliably and securely test up to 4000 students per administration. The session addresses the three biggest challenges institutions can encounter, solutions to those challenges, and tips and advice for a smooth and problem-free large-scale administration.


PC AI - Glossary of Terms (Subjects A-C)

AITopics Original Links

Where Intelligent Technology Meets the Real World Home Contents Search News Services Contact PC AI Subjects A-C CLOS Common LISP Object System - An object oriented extension to Common LISP (a dialect of LISP). LISP A programming language that manipulates lists of data which led to its heavy use in AI applications. Logic Programming A type of programming consisting of facts and relationships from which the programming language can draw a conclusion. Prolog A declarative programming language based on formal logic. Widely used in AI applications.


A Computational Approach to Re-Interpretation: Generation of Emphatic Poems Inspired by Internet Blogs

AAAI Conferences

We present a system that produces emotionally rich poetry inspired by personalized and empathic interpretation of text, particularly Internet blogs. Our implemented system is based on the blackboard architecture, and generates poetry from a theme that it considers the most inspiring. It also incorporates a model of emotions with an individual optimism rate that defines an affective state. The poems produced by the system contain emotional expressions that describe these feelings. We explain how the system re-conceptualizes the text by the empathic interpretation of its content. We also present how the blackboard architecture may support divergent problem solving in the field of computational creativity.We describe the system architecture and the generation algorithm followed by some illustrative results. Finally, we mention possible continuation of this work by incorporating other language generating systems as well as human experts in the blackboard architecture.


R&D Analyst: An Interactive Approach to Normative Decision System Model Construction

arXiv.org Artificial Intelligence

This paper describes the architecture of R&D Analyst, a commercial intelligent decision system for evaluating corporate research and development projects and portfolios. In analyzing projects, R&D Analyst interactively guides a user in constructing an influence diagram model for an individual research project. The system's interactive approach can be clearly explained from a blackboard system perspective. The opportunistic reasoning emphasis of blackboard systems satisfies the flexibility requirements of model construction, thereby suggesting that a similar architecture would be valuable for developing normative decision systems in other domains. Current research is aimed at extending the system architecture to explicitly consider of sequential decisions involving limited temporal, financial, and physical resources.


The First Workshop on Blackboard Systems

AI Magazine

The emergence of the blackboard architecture as a widely used paradigm for problem solving led us and other members of the blackboard research community to organize a workshop. The workshop was held during the 1987 Association for the Advancement of Artificial Intelligence Conference in Seattle. The main purpose of the workshop was to highlight the advances in blackboard architectures since the introduction of the paradigm in Hearsay-II and identify issues relevant to future blackboard system research. This article describes the issues raised and the discussions in each of the five workshop panels.


The First Workshop on Blackboard Systems

AI Magazine

The emergence of the blackboard architecture as a widely used paradigm for problem solving led us and other members of the blackboard research community to organize a workshop. The workshop was held during the 1987 Association for the Advancement of Artificial Intelligence Conference in Seattle. The main purpose of the workshop was to highlight the advances in blackboard architectures since the introduction of the paradigm in Hearsay-II and identify issues relevant to future blackboard system research. This article describes the issues raised and the discussions in each of the five workshop panels.