Meaning-Focused and Quantum-Inspired Information Retrieval
نویسندگان
چکیده
8:30 am 9:00 am Coffee break 9:00 am 9:30 am Conference opening and introduction Derek Raine (Physics); Peter Jackson and Emmanuel Haven (Management) 9:30 am 10:30 am Plenary Talk Professor Edward Nelson Department of Mathematics Princeton University Title of Talk: Stochastic mechanics of particles and fields 10:30 am 11:00am Coffee break 11:00 am 12:30 pm Paper session I.: Meaning. Session Chair: Harald Atmanspacher Meaning-focused and Quantum-inspired Information Retrieval Diederik Aerts, Jan Broekaert, Sandro Sozzo and Tomas Veloz
منابع مشابه
The Quantum Challenge in Concept Theory and Natural Language Processing
The mathematical formalism of quantum theory has been successfully used in human cognition to model decision processes and to deliver representations of human knowledge. As such, quantum cognition inspired tools have improved technologies for Natural Language Processing and Information Retrieval. In this paper, we overview the quantum cognition approach developed in our Brussels team during the...
متن کاملQuantum Structure in Cognition: Fundamentals and Applications
Experiments in cognitive science and decision theory show that the ways in which people combine concepts and make decisions cannot be described by classical logic and probability theory. This has serious implications for applied disciplines such as information retrieval, artificial intelligence and robotics. Inspired by a mathematical formalism that generalizes quantum mechanics the authors hav...
متن کاملThe socio - cognitive theory in information retrieval (IR)
Abstract Background and Aim: The socio-cognitive theory introduced in information science by Horland and Alberchtsen. The socio-cognitive view turns the traditional cognitive program upside down. The socio-cognitive theory emphasizes on different cultural and social structures of users. Hence, the aim of the article is to explain the role of socio - cognitive theory in information retrieval (I...
متن کاملA Novel Re-ranking Approach Inspired by Quantum Measurement
Quantum theory (QT) has recently been employed to advance the theory of information retrieval (IR). A typical method, namely the Quantum Probability Ranking Principle (QPRP), was proposed to re-rank top retrieved documents by considering the inter-dependencies between documents through the “quantum interference”. In this paper, we attempt to explore another important QT concept, namely the “qua...
متن کاملBQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems
Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...
متن کامل