I had some strong reactions to Joe Weizenbaum's book, Computer Power and Human Reason. The book mentions some important concerns which are obscured by harsh and sometimes shrill accusations against the Artificial Intelligence research community. On the whole, it seems to me that the personal attacks distract and mislead the reader from more valuable abstract…
ACM SIGART Bulletin Template
Write in a clean editor, then format for ACM SIGART Bulletin in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the ACM SIGART Bulletin format
ACM SIGART Bulletin is a peer-reviewed journal published by ACM, covering AI-based Problem Solving and Planning, Semantic Web and Ontologies, Logic, Reasoning, and Knowledge.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGART Bulletin 12, 3, Article 45 (2023).
Formats any DOI in ACM SIGART Bulletin style. No sign-up. |
| Publishes research in | AI-based Problem Solving and Planning Semantic Web and Ontologies Logic, Reasoning, and Knowledge Natural Language Processing Techniques Computability, Logic, AI Algorithms |
| ISSN | 0163-5719 |
| h-index | 56 |
| i10-index | 203 |
| Total citations | 14,154 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | catalog.hathitrust.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in ACM SIGART Bulletin per year
Citation impact of ACM SIGART Bulletin by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in ACM SIGART Bulletin
Dyna is an AI architecture that integrates learning, planning, and reactive execution. Learning methods are used in Dyna both for compiling planning results and for updating a model of the effects of the agent's actions on the world. Planning is incremental and can use the probabilistic and ofttimes incorrect world models generated by learning processes.…
The type of cognitive system (CS) studied here has four basic parts: (1) a set of interacting elementary productions, called classifiers , (2) a performance algorithm that directs the action of the system in the environment, (3) a simple learning algorithm that keeps a record of each classifier's success in bringing about rewards, and (4)…
Our paper on the use of heuristic information in graph searching defined a path-finding algorithm, A*, and proved that it had two important properties. In the notation of the paper, we proved that if the heuristic function ñ (n) is a lower bound on the true minimal cost from node n to a goal node,…