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pro vyhledávání: '"Liz Sonenberg"'
Autor:
Liz Sonenberg
Publikováno v:
Logic Journal of the IGPL.
Since the early days of artificial intelligence (AI), many logics have been explored as tools for knowledge representation and reasoning. In the spirit of the Crossley Festscrift and recognizing John Crossley’s diverse interests and his legacy in b
Autor:
Ronal Singh, Tim Miller, Henrietta Lyons, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Piers Howe, Paul Dourish
Publikováno v:
ACM Transactions on Interactive Intelligent Systems.
In this paper, we show that explanations of decisions made by machine learning systems can be improved by not only explaining why a decision was made but also by explaining how an individual could obtain their desired outcome. We formally define the
Autor:
Kathleen Keogh, Liz Sonenberg
Publikováno v:
Applied Sciences, Vol 10, Iss 15, p 5335 (2020)
We address the challenge of multi-agent system (MAS) design for organisations of agents acting in dynamic and uncertain environments where runtime flexibility is required to enable improvisation through sharing knowledge and adapting behaviour. We id
Externí odkaz:
https://doaj.org/article/4d81225ed1c0408794a021ab79e837d4
Publikováno v:
International Journal of Intelligent Systems. 36:5959-5980
In most multiagent applications, communication is essential among agents to coordinate their actions, and thus achieve their goal. However, communication often has a related cost that affects overall system performance. In this paper, we draw inspira
Publikováno v:
IEEE Transactions on Human-Machine Systems. 50:264-275
In autonomous multiagent or multirobotic systems, the ability to quickly and accurately respond to threats and uncertainties is important for both mission outcomes and survivability. Such systems are never truly autonomous, often operating as part of
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030917784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b56ca751183dad2645cbff34914da451
https://doi.org/10.1007/978-3-030-91779-1_1
https://doi.org/10.1007/978-3-030-91779-1_1
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030917784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a46653e4fbda85573511a03d7c4f91a
https://doi.org/10.1007/978-3-030-91779-1_2
https://doi.org/10.1007/978-3-030-91779-1_2
Autor:
Sheila A. McIlraith, Tim Miller, Christian Muise, Liz Sonenberg, Vaishak Belle, Adrian R. Pearce, Paolo Felli
Publikováno v:
Muise, C, Belle, V, Felli, P, McIlraith, S, Miller, T, Pearce, A R & Sonenberg, L 2022, ' Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief ', Artificial Intelligence, vol. 302, 103605 . https://doi.org/10.1016/j.artint.2021.103605
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own beliefs, as well as those of other agents. However, planning involving nested beliefs is known to be computationally challeng
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 10:1597-1610
A concept of capability in multi-agent systems that incorporates a notion of tools that are available to an agent in the environment is formalised. Using tools as the realisation of external capability requires less theoretical apparatus than modelli
Publikováno v:
Journal of Artificial Intelligence Research. 58:859-904
According to Clark's seminal work on common ground and grounding, participants collaborating in a joint activity rely on their shared information, known as common ground, to perform that activity successfully, and continually align and augment this i