Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Padget, Julian A."'
Human trust is critical for trustworthy AI adoption. Trust is commonly understood as an attitude, but we cannot accurately measure this, nor manage it. We conflate trust in the overall system, ML, and ML's component parts; so most users do not unders
Externí odkaz:
http://arxiv.org/abs/2408.00786
CLIP is a widely used foundational vision-language model that is used for zero-shot image recognition and other image-text alignment tasks. We demonstrate that CLIP is vulnerable to change in image quality under compression. This surprising result is
Externí odkaz:
http://arxiv.org/abs/2311.14029
Autor:
Kampik, Timotheus, Mansour, Adnane, Boissier, Olivier, Kirrane, Sabrina, Padget, Julian, Payne, Terry R., Singh, Munindar P., Tamma, Valentina, Zimmermann, Antoine
The study of autonomous agents has a long tradition in the Multiagent Systems and the Semantic Web communities, with applications ranging from automating business processes to personal assistants. More recently, the Web of Things (WoT), which is an e
Externí odkaz:
http://arxiv.org/abs/2202.02574
Norm emergence is typically studied in the context of multiagent systems (MAS) where norms are implicit, and participating agents use simplistic decision-making mechanisms. These implicit norms are usually unconsciously shared and adopted through age
Externí odkaz:
http://arxiv.org/abs/2004.02575
Autor:
Gnatyshak, Dmitry, Oliva-Felipe, Luis, Álvarez-Napagao, Sergio, Padget, Julian, Vázquez-Salceda, Javier, Garcia-Gasulla, Dario, Cortés, Ulises
Publikováno v:
Frontiers in Artificial Intelligence and Applications 319 (2019) 329-338
Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with increased reasoning capabilities
Externí odkaz:
http://arxiv.org/abs/1911.10055
Publikováno v:
In International Journal of Information Management February 2023 68
Autonomous software agents operating in dynamic environments need to constantly reason about actions in pursuit of their goals, while taking into consideration norms which might be imposed on those actions. Normative practical reasoning supports agen
Externí odkaz:
http://arxiv.org/abs/1701.08306
We propose the Artificial Continuous Prediction Market (ACPM) as a means to predict a continuous real value, by integrating a range of data sources and aggregating the results of different machine learning (ML) algorithms. ACPM adapts the concept of
Externí odkaz:
http://arxiv.org/abs/1508.02681
The rapidly increasing number of cores available in multicore processors does not necessarily lead directly to a commensurate increase in performance: programs written in conventional languages, such as C, need careful restructuring, preferably autom
Externí odkaz:
http://arxiv.org/abs/1501.06743
In this paper we propose a use-case-driven iterative design methodology for normative frameworks, also called virtual institutions, which are used to govern open systems. Our computational model represents the normative framework as a logic program u
Externí odkaz:
http://arxiv.org/abs/1107.4967