Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Nir Oren"'
Publikováno v:
Argument & Computation, Vol 13, Iss 2, Pp 195-208 (2022)
In this paper we describe an argumentation-based representation of normal form games, and demonstrate how argumentation can be used to compute pure strategy Nash equilibria. Our approach builds on Modgil’s Extended Argumentation Frameworks. We demo
Externí odkaz:
https://doaj.org/article/5dc26edd2b52446cbaef7d7350c02559
Autor:
Alice Toniolo, Federico Cerutti, Timothy J. Norman, Nir Oren, John A. Allen, Mani Srivastava, Paul Sullivan
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200151- (2023)
In this paper we illustrate how novel AI methods can improve the performance of intelligence analysts. These analysts aim to make sense of — often conflicting or incomplete — information, weighing up competing hypotheses which serve to explain an
Externí odkaz:
https://doaj.org/article/a0a5ffdfc2dd42c182a767c7cea03654
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract If artificial intelligence (AI) is to help solve individual, societal and global problems, humans should neither underestimate nor overestimate its trustworthiness. Situated in-between these two extremes is an ideal ‘Goldilocks’ zone of
Externí odkaz:
https://doaj.org/article/8b690a2115c34615bbf54f43afd6666b
Publikováno v:
AI Communications. 35:339-356
Multi-agent systems is an evolving discipline that encompasses many different branches of research. The long-standing Agents at Aberdeen ( A 3 ) group undertakes research across several areas of multi-agent systems, focusing in particular on aspects
Publikováno v:
Persuasive Technology ISBN: 9783031309328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aad86fad7e0654e4887ff3028c3f184a
https://doi.org/10.1007/978-3-031-30933-5_13
https://doi.org/10.1007/978-3-031-30933-5_13
Autor:
Alice Toniolo, Federico Cerutti, Timothy J. Norman, Nir Oren, John A. Allen, Mani Srivastava, Paul Sullivan
Funding: This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. In this paper we illustrate how novel AI methods can improve the performance of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce339e24b02775fc1a3b53ef8ef2fa95
https://hdl.handle.net/10023/26566
https://hdl.handle.net/10023/26566
Autor:
Nir Oren, Régis Riveret
Publikováno v:
Journal of Logic and Computation. 32:115-128
Probabilistic argumentation combines probability theory and formal models of argumentation. Given an argumentation graph where vertices are arguments and edges are attacks or supports between arguments, the approach of probabilistic labellings relies
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Gradual semantics with abstract argumentation provide each argument with a score reflecting its acceptability. Many different gradual semantics have been proposed in the literature, each following different principles and producing different argument
Publikováno v:
International Journal of Approximate Reasoning. 126:249-271
What does it mean that something is probably obligatory? And how does it relate to the probability that it is permitted or prohibited? In this paper, we provide a possible answer by merging deontic argumentation and probabilistic argumentation into a
Publikováno v:
Innovative Security Solutions for Information Technology and Communications ISBN: 9783030692544
SECITC
SECITC
Subjective attack trees are an extension to traditional attack trees, proposed so to take uncertainty about likelihoods of security events into account during the modelling of security risk scenarios, using subjective opinions. This paper extends the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::743632a014dd8c77376359f7c2e30756
https://doi.org/10.1007/978-3-030-69255-1_19
https://doi.org/10.1007/978-3-030-69255-1_19