Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Peter Bruza"'
Autor:
Luisa Roeder, Pamela Hoyte, Johan van der Meer, Lauren Fell, Patrick Johnston, Graham Kerr, Peter Bruza
Publikováno v:
Entropy, Vol 25, Iss 9, p 1362 (2023)
This exploratory study investigates a human agent’s evolving judgements of reliability when interacting with an AI system. Two aims drove this investigation: (1) compare the predictive performance of quantum vs. Markov random walk models regarding
Externí odkaz:
https://doaj.org/article/dd4e96c2ed8b4500bce3ad8f0a41a6aa
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
This article extends the combinatorial approach to support the determination of contextuality amidst causal influences. Contextuality is an active field of study in Quantum Cognition, in systems relating to mental phenomena, such as concepts in human
Externí odkaz:
https://doaj.org/article/fb8a590393fd47e3a362bf99cfdcac0c
Publikováno v:
Entropy, Vol 22, Iss 2, p 174 (2020)
This article presents a general framework that allows irrational decision making to be theoretically investigated and simulated. Rationality in human decision making under uncertainty is normatively prescribed by the axioms of probability theory in o
Externí odkaz:
https://doaj.org/article/2fb7c17f5c9d4d119b0ef01696095028
Publikováno v:
Entropy, Vol 22, Iss 2, p 170 (2020)
Empirical findings from cognitive psychology indicate that, in scenarios under high levels of uncertainty, many people tend to make irrational decisions. To address this problem, models based on quantum probability theory, such as the quantum-like Ba
Externí odkaz:
https://doaj.org/article/53da7e6e1a294aa7ba024cec9967a385
Publikováno v:
Information Fusion. 81:59-83
Deep learning models have achieved high performance across different domains, such as medical decision-making, autonomous vehicles, decision support systems, among many others. However, despite this success, the inner mechanisms of these models are o
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b58e2ea65018d25761bf975c84a662b
https://doi.org/10.4324/9781315782416-234
https://doi.org/10.4324/9781315782416-234
Publikováno v:
Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022).
Publikováno v:
Journal of Physics A: Mathematical and Theoretical. 55:355301
openaire: EC/H2020/101016775/EU//INTERVENE Funding Information: This work was supported by the Academy of Finland (Grants 336033, 315896), Business Finland (Grant 884/31/2018), and EU H2020 (Grant 101016775). It was additionally supported by the Asia
Autor:
Peter Bruza
Publikováno v:
Theoretical Computer Science. 752:56-70
Models of a phenomenon are often developed by examining it under different experimental conditions, or measurement contexts. The resultant probabilistic models assume that the underlying random variables, which define a measurable set of outcomes, ca
Publikováno v:
CHIIR
This perspectives paper proposes a conceptualization of trust that does not require a predefined feature space, but rather is dynamically formed at the point of information interaction through a cognitive predicting mechanism. Trust is a significant