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TIMESTORM

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Mind and Time Investigation of the Temporal Traits of Human Machine Convergence

Contemporary research endeavours aim at equipping artificial systems with human-like cognitive skills, in an attempt to promote their intelligence beyond repetitive task accomplishment. However, despite the crucial role that the s... ver más

30/06/2018

FOUNDATION FOR RES...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

IDRYMA TECHNOLOGIAS KAI EREVNAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-06-30

FETPROACT-2-2014: Knowing, doing, being: cognition be... Scope:Specific challenge: This initiative addresses the interdisciplinary fundamentals of knowing, t...

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6 Participantes

FOUNDATION FOR RESEARCH AND...

562.50K€ | Lider

IMPERIAL COLLEGE OF SCIENCE...

532.50K€ | Participante

UOS

475.00K€ | Participante

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Duración del proyecto: 43 meses Fecha Inicio: 2014-11-24
Fecha Fin: 2018-06-30

Líder del proyecto

IDRYMA TECHNOLOGIAS KAI EREVNAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Contemporary research endeavours aim at equipping artificial systems with human-like cognitive skills, in an attempt to promote their intelligence beyond repetitive task accomplishment. However, despite the crucial role that the sense of time has in human cognition, both in perception and action, the capacity of artificial agents to experience the flow of time remains largely unexplored. The inability of existing systems to perceive time constrains their potential understanding of the inherent temporal characteristics of the dynamic world, which in turn acts as an obstacle to their symbiosis with humans. Time perception is without doubt, not an optional extra, but a necessity for the development of truly autonomous, cognitive machines. TIMESTORM aims at bridging this fundamental gap by shifting the focus of human-machine confluence to the temporal, short- and long-term aspects of symbiotic interaction. The integrative pursuit of research and technological developments in time perception will contribute significantly to ongoing efforts in deciphering the relevant brain circuitry and will also give rise to innovative implementations of artifacts with profoundly enhanced cognitive capacities. Equipping artificial agents with temporal cognition establishes a new framework for the investigation and integration of knowing, doing, and being in artificial systems. The proposed research will study the principles of time processing in the human brain and their replication in-silico, adopting a multidisciplinary research approach that involves developmental studies, brain imaging, computational modelling and embodied experiments. By investigating artificial temporal cognition, TIMESTORM inaugurates a novel research field in cognitive systems with the potential to contribute to the advent of next generation intelligent systems, significantly promoting the seamless integration of artificial agents in human societies.

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