This work presents the Agent–based Uncertainty Theory (AUT) and its connection with quantum mechanics where agents are interpreted in terms of the particles. This connection serves a dual goal to justify AUT operations as physically meaningful and to provide a new explanatory mechanism for contradictory issues in quantum mechanics. The AUT is described in agent terms and then is interpreted in quantum mechanics terms. The AUT uses complex aggregations of crisp (non-fuzzy) conflicting judgments of agents. It gives a uniform representation and an operational empirical interpretation for several uncertainty theories such as rough set theory, fuzzy sets theory, intuitionistic fuzzy sets, evidence theory, and probability theory. To build such un...
Discussions on uncertainty relations (UR) and quantum measurements (QMS) persisted until nowadays i...
We argue about quantum entanglement and the uncertainty principle through the tomographic ...
Which theories lead to a contradiction between simple reasoning principles and modelling observers' ...
Multi-agent systems play an increasing role in sensor networks, software engineering, web design, e-...
This article deals with the problem of the uncertainty in rule-based systems (RBS), but from the per...
Quantum Logic, born of the attempts of J. von Neumann, P. Jordan, E. Wigner, and G. Birkhoff, to pro...
This paper contributes to quantum-like modeling of decision making (DM) under uncertainty through ap...
The applications of techniques from statistical (and classical) mechanics to model interesting probl...
Boolean and discrete networks play an important role in many domains such as cellular automata. This...
International audienceQuantum cognition in decision making is a recent and rapidly growing field. In...
We present the mathematical model of decision-making (DM) of agents acting in a complex and uncertai...
In neural network modeling, the goal often is to get a most specific crisp output (e.g., binary clas...
Entangled states represent correlations between two separate systems that are too precise to be repr...
The standard uncertainty relations (UR) in quantum mechanics are typically used for unbounded operat...
Abstract We present a new quantum-memory-assisted entropic uncertainty relation for multipartite sys...
Discussions on uncertainty relations (UR) and quantum measurements (QMS) persisted until nowadays i...
We argue about quantum entanglement and the uncertainty principle through the tomographic ...
Which theories lead to a contradiction between simple reasoning principles and modelling observers' ...
Multi-agent systems play an increasing role in sensor networks, software engineering, web design, e-...
This article deals with the problem of the uncertainty in rule-based systems (RBS), but from the per...
Quantum Logic, born of the attempts of J. von Neumann, P. Jordan, E. Wigner, and G. Birkhoff, to pro...
This paper contributes to quantum-like modeling of decision making (DM) under uncertainty through ap...
The applications of techniques from statistical (and classical) mechanics to model interesting probl...
Boolean and discrete networks play an important role in many domains such as cellular automata. This...
International audienceQuantum cognition in decision making is a recent and rapidly growing field. In...
We present the mathematical model of decision-making (DM) of agents acting in a complex and uncertai...
In neural network modeling, the goal often is to get a most specific crisp output (e.g., binary clas...
Entangled states represent correlations between two separate systems that are too precise to be repr...
The standard uncertainty relations (UR) in quantum mechanics are typically used for unbounded operat...
Abstract We present a new quantum-memory-assisted entropic uncertainty relation for multipartite sys...
Discussions on uncertainty relations (UR) and quantum measurements (QMS) persisted until nowadays i...
We argue about quantum entanglement and the uncertainty principle through the tomographic ...
Which theories lead to a contradiction between simple reasoning principles and modelling observers' ...