The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty

Erman, Lee D.; Hayes‐Roth, Frederick; Lesser, Victor; Reddy, D. R.

doi:10.1145/356810.356816

Cited by 1,023 publications

(130 citation statements)

References 15 publications

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“…In these systems, which are based on the blackboard model [6], agents symbolize sensory information with a common representation, and gradually proceed with their recognition by exchanging them. Thus, these systems deal with recognition based on symbolized information.…”

Section: Discussionmentioning

confidence: 99%

Mobile Robot Navigation by Distributed Vision Agents

Sogo

Ishiguro

Ishida

1999

Approaches to Intelligence Agents

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Abstract. A Distributed Vision System (DVS) is an infrastructure for mobile robot navigation. The system consists of vision agents embedded in an environment and connected with a computer network, observes events in the environment, and provides various information to robots. We have developed a prototype of the DVS which consists of sixteen vision agents and simultaneously navigates two robots. This paper describes the detail of the prototype system, shows the robustness through experimentation, and considers problems in applying a multi-agent system to a real robot system through development of the DVS.

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Section: Discussionmentioning

confidence: 99%

Mobile Robot Navigation by Distributed Vision Agents

Sogo

Ishiguro

Ishida

1999

Approaches to Intelligence Agents

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“…Since the emergence of the first blackboard architectures, most notably the Hearsay-II speech understanding system [12], a variety of frameworks have been employed in the inspection field. ARBS (Algorithmic and Rule-based Blackboard System) combined rules, algorithms, and neural networks for the interpretation of ultrasonic images [13].…”

Section: The Blackboard Architecturementioning

confidence: 99%

Intensity-based image registration using multiple distributed agents

Tait¹,

Schaefer²,

Hopgood³

2008

Knowledge-Based Systems

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. (2008). Intensitybased image registration using multiple distributed agents. 21 (3), 256-264. Copyright and re-use policy AbstractRegistration is the process of geometrically aligning two images taken from different sensors, viewpoints or instances in time. It plays a key role in the detection of defects or anomalies for automated visual inspection. A multiagent distributed blackboard system has been developed for intensity-based image registration. The images are divided into segments and allocated to individual agents on separate processors, allowing parallel computation of a similarity metric that measures the degree of likeness between reference and sensed images after the application of a transform. The need for a dedicated control module is removed by coordination of Distributor, Manager, and Worker agents through communication via the blackboard. Tests show that the system achieves large-scale registration with substantial speedups, provided the communication capacity of the blackboard is not saturated. The success of the approach is demonstrated in the detection of manufacturing defects on screen-printed plastic bottles and printed circuit boards.

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“…In this architecture, a number of independent agents interact together through a shared memory space called the blackboard to arrive at a solution to the problem. It was originally proposed for speech understanding [15] but now has been successfully applied to solve many problems in different domains [7,8,20].…”

Section: Introductionmentioning

confidence: 99%

A Blackboard System for Generating Poetry

Misztal-Radecka

Indurkhya

2016

csci

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We present a system to generate poems based on the information extracted from input text such as blog posts. Our design uses the blackboard architecture, in which independent specialized modules cooperate during the generation process by sharing a common workspace known as the blackboard. Each module is responsible for a particular task while generating poetry. Our implementation incorporates modules that retrieve information from the input text, generate new ideas, or select the best partial solutions. These distinct modules (experts) are implemented as diverse computational units that make use of lexical resources, grammar models, sentiment-analyzing tools, and languageprocessing algorithms. A control module is responsible for scheduling actions on the blackboard. We argue that the blackboard architecture is a promising way of simulating creative processes because of its flexibility and compliance with the Global Workspace Theory of mind. The main contribution of this work is the design and prototype implementation of an extensible platform for a poetry-generating system that may be further extended by incorporating new experts as well as some existing poetrygenerating systems as parts of the blackboard architecture. We claim that this design provides a powerful tool for combining many of the existing efforts in the domain of automatic poetry generation.

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The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty

Cited by 1,023 publications

References 15 publications

Mobile Robot Navigation by Distributed Vision Agents

Mobile Robot Navigation by Distributed Vision Agents

Intensity-based image registration using multiple distributed agents

A Blackboard System for Generating Poetry

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