4 Search Results for "Brown, Paul"


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Standardizing Knowledge Engineering Practices with a Reference Architecture

Authors: Bradley P. Allen and Filip Ilievski

Published in: TGDK, Volume 2, Issue 1 (2024): Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge, Volume 2, Issue 1


Abstract
Knowledge engineering is the process of creating and maintaining knowledge-producing systems. Throughout the history of computer science and AI, knowledge engineering workflows have been widely used given the importance of high-quality knowledge for reliable intelligent agents. Meanwhile, the scope of knowledge engineering, as apparent from its target tasks and use cases, has been shifting, together with its paradigms such as expert systems, semantic web, and language modeling. The intended use cases and supported user requirements between these paradigms have not been analyzed globally, as new paradigms often satisfy prior pain points while possibly introducing new ones. The recent abstraction of systemic patterns into a boxology provides an opening for aligning the requirements and use cases of knowledge engineering with the systems, components, and software that can satisfy them best, however, this direction has not been explored to date. This paper proposes a vision of harmonizing the best practices in the field of knowledge engineering by leveraging the software engineering methodology of creating reference architectures. We describe how a reference architecture can be iteratively designed and implemented to associate user needs with recurring systemic patterns, building on top of existing knowledge engineering workflows and boxologies. We provide a six-step roadmap that can enable the development of such an architecture, consisting of scope definition, selection of information sources, architectural analysis, synthesis of an architecture based on the information source analysis, evaluation through instantiation, and, ultimately, instantiation into a concrete software architecture. We provide an initial design and outcome of the definition of architectural scope, selection of information sources, and analysis. As the remaining steps of design, evaluation, and instantiation of the architecture are largely use-case specific, we provide a detailed description of their procedures and point to relevant examples. We expect that following through on this vision will lead to well-grounded reference architectures for knowledge engineering, will advance the ongoing initiatives of organizing the neurosymbolic knowledge engineering space, and will build new links to the software architectures and data science communities.

Cite as

Bradley P. Allen and Filip Ilievski. Standardizing Knowledge Engineering Practices with a Reference Architecture. In Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 1, pp. 5:1-5:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@Article{allen_et_al:TGDK.2.1.5,
  author =	{Allen, Bradley P. and Ilievski, Filip},
  title =	{{Standardizing Knowledge Engineering Practices with a Reference Architecture}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{5:1--5:23},
  ISSN =	{2942-7517},
  year =	{2024},
  volume =	{2},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.2.1.5},
  URN =		{urn:nbn:de:0030-drops-198623},
  doi =		{10.4230/TGDK.2.1.5},
  annote =	{Keywords: knowledge engineering, knowledge graphs, quality attributes, software architectures, sociotechnical systems}
}
Document
Exponential Resolution Lower Bounds for Weak Pigeonhole Principle and Perfect Matching Formulas over Sparse Graphs

Authors: Susanna F. de Rezende, Jakob Nordström, Kilian Risse, and Dmitry Sokolov

Published in: LIPIcs, Volume 169, 35th Computational Complexity Conference (CCC 2020)


Abstract
We show exponential lower bounds on resolution proof length for pigeonhole principle (PHP) formulas and perfect matching formulas over highly unbalanced, sparse expander graphs, thus answering the challenge to establish strong lower bounds in the regime between balanced constant-degree expanders as in [Ben-Sasson and Wigderson '01] and highly unbalanced, dense graphs as in [Raz '04] and [Razborov '03, '04]. We obtain our results by revisiting Razborov’s pseudo-width method for PHP formulas over dense graphs and extending it to sparse graphs. This further demonstrates the power of the pseudo-width method, and we believe it could potentially be useful for attacking also other longstanding open problems for resolution and other proof systems.

Cite as

Susanna F. de Rezende, Jakob Nordström, Kilian Risse, and Dmitry Sokolov. Exponential Resolution Lower Bounds for Weak Pigeonhole Principle and Perfect Matching Formulas over Sparse Graphs. In 35th Computational Complexity Conference (CCC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 169, pp. 28:1-28:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@InProceedings{derezende_et_al:LIPIcs.CCC.2020.28,
  author =	{de Rezende, Susanna F. and Nordstr\"{o}m, Jakob and Risse, Kilian and Sokolov, Dmitry},
  title =	{{Exponential Resolution Lower Bounds for Weak Pigeonhole Principle and Perfect Matching Formulas over Sparse Graphs}},
  booktitle =	{35th Computational Complexity Conference (CCC 2020)},
  pages =	{28:1--28:24},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-156-6},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{169},
  editor =	{Saraf, Shubhangi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2020.28},
  URN =		{urn:nbn:de:0030-drops-125804},
  doi =		{10.4230/LIPIcs.CCC.2020.28},
  annote =	{Keywords: proof complexity, resolution, weak pigeonhole principle, perfect matching, sparse graphs}
}
Document
Autonomy, Signature and Creativity

Authors: Paul Brown

Published in: Dagstuhl Seminar Proceedings, Volume 9291, Computational Creativity: An Interdisciplinary Approach (2009)


Abstract
One of the key themes that emerged from the formal investigations of art and aesthetics during the 20th century was that of the autonomous artwork. The goal of an artwork that was not just self-referential but also self-creating found renewed vigour in the work of the systems and conceptual artists and especially those who were early adopters of the then-new technology of artificial intelligence (AI). A key problem is that of signature: at what point can we claim that an artwork has its own distinct signature? My own work in this area began in the 1960’s with an early, and in retrospect, naive assumption. At that time art was still based on the concept of engagement with the materiality of the medium. I suggested that using a symbolic language to initiate a process would distance me far enough from the output of that process for it to have the potential of developing its own intrinsic qualities including a unique signature. By the 1990s it had become obvious that this approach had failed. Complementary research in many fields had demonstrated that the signatures of life were robust and strongly relativistic. The myriad bonds that define a signature are embedded in even the simplest symbol system and any attempt to create autonomy by formal construction is unlikely to succeed. During this same period a group of biologically inspired computational methods were revisited after several decades of neglect; evolutionary, adaptive and learning systems suggested a “bottom up” approach to the problem. If it’s not possible to design an autonomous agency then can we instead make a system that evolves, learns for itself and eventually has the potential of displaying autonomy as an emergent property? The DrawBots project is an attempt to apply these computational methods to the problem of artistic autonomy. It is an example of a strong art-science collaboration where all the disciplines involved have a significant investment in the project and its themes.

Cite as

Paul Brown. Autonomy, Signature and Creativity. In Computational Creativity: An Interdisciplinary Approach. Dagstuhl Seminar Proceedings, Volume 9291, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{brown:DagSemProc.09291.7,
  author =	{Brown, Paul},
  title =	{{Autonomy, Signature and Creativity}},
  booktitle =	{Computational Creativity: An Interdisciplinary Approach},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9291},
  editor =	{Margaret Boden and Mark D'Inverno and Jon McCormack},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09291.7},
  URN =		{urn:nbn:de:0030-drops-22047},
  doi =		{10.4230/DagSemProc.09291.7},
  annote =	{Keywords: Computational creativity, autonomous art, signature}
}
Document
Notes from the Discussion Group on "Evaluation"

Authors: David Brown

Published in: Dagstuhl Seminar Proceedings, Volume 9291, Computational Creativity: An Interdisciplinary Approach (2009)


Abstract
Group Members: Harold Cohen, Maggie Boden, Dave Brown, Paul Brown, Oliver Deussen, Philip Galanter. These notes represent approximately what was discussed by the group members over a period of several hours over two days. There has been some attempt to organize the material, but little attempt to expand it to make it coherent—we rambled, so do the notes. The notes, and this report, were recorded, organized, and elaborated into this form by Dave Brown.

Cite as

David Brown. Notes from the Discussion Group on "Evaluation". In Computational Creativity: An Interdisciplinary Approach. Dagstuhl Seminar Proceedings, Volume 9291, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{brown:DagSemProc.09291.22,
  author =	{Brown, David},
  title =	{{Notes from the Discussion Group on "Evaluation"}},
  booktitle =	{Computational Creativity: An Interdisciplinary Approach},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9291},
  editor =	{Margaret Boden and Mark D'Inverno and Jon McCormack},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09291.22},
  URN =		{urn:nbn:de:0030-drops-22128},
  doi =		{10.4230/DagSemProc.09291.22},
  annote =	{Keywords: Evaluation, art, artistic, creativity}
}
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