paper-with-me

Papers

Extension of the Blackboard Architecture with Common Properties and Generic Rules

2023-06-07 · Jonathan Rivard, Jeremy Straub

The Blackboard Architecture provides a mechanism for embodying data, decision making and actuation. Its versatility has been demonstrated across a wide number of application areas. However, it lacks the capability to directly model organizational, spatial and other relationships which may be useful in decision-making, in addition to the propositional logic embodied in the rule-fact-action network. Previous work has proposed the use of container objects and links as a mechanism to simultaneously model these organizational and other relationships, while leaving the operational logic modeled in the rules, facts and actions. While containers facilitate this modeling, their utility is limited by the need to manually define them. For systems which may have multiple instances of a particular type of object and which may build their network autonomously, based on sensing, the reuse of logical structures facilitates operations and reduces storage and processing needs. This paper, thus, presents and assesses two additional concepts to add to the Blackboard Architecture: common properties and generic rules. Common properties are facts associated with containers which are defined as representing the same information across the various objects that they are associated with. Generic rules provide logical propositions that use these generic rules across links and apply to any objects matching their definition. The potential uses of these two new concepts are discussed herein and their impact on system performance is characterized.

📄 PDF Abstract BibTeX arXiv:2306.04287

Code (0)

등록된 구현이 없습니다.

Tasks

Decision Making

Similar Papers 제목 키워드 기반

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture

2025-07-02 · Bochen Han, Songmao Zhang arxiv

In this paper, we propose to incorporate the blackboard architecture into LLM multi-agent systems (MASs) so that (1) agents with various roles can share all the information and others' messages during the whole problem-s…

LeoPARD --- A Generic Platform for the Implementation of Higher-Order Reasoners

2015-05-07 · Max Wisniewski, Alexander Steen, Christoph Benzmüller

LeoPARD supports the implementation of knowledge representation and reasoning tools for higher-order logic(s). It combines a sophisticated data structure layer (polymorphically typed {\lambda}-calculus with nameless spin…

Introduction and Assessment of the Addition of Links and Containers to the Blackboard Architecture

2023-06-07 · Jordan Milbrath, Jeremy Straub

The Blackboard Architecture provides a mechanism for storing data and logic and using it to make decisions that impact the application environment that the Blackboard Architecture network models. While rule-fact-action n…

Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System

2024-04-17 · Jordan Milbrath, Jonathan Rivard, Jeremy Straub

A variety of forms of artificial intelligence systems have been developed. Two well-known techniques are neural networks and rule-fact expert systems. The former can be trained from presented data while the latter is typ…

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science

2025-09-30 · Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song 외 arxiv

Advances in large language models (LLMs) have created new opportunities in data science, but their deployment is often limited by the challenge of finding relevant data in large data lakes. Existing methods struggle with…