Objective
The ACORNS project intends to develop, implement and test the mathematical models and computational mechanisms needed to create an artificial agent that is capable of acquiring human verbal communication behaviour based on the memory-prediction theory of intelligence. Unlike conventional pattern recognizers, the ACORNS agent will learn dynamic emergent patterns of speech and non-speech sounds from rich and redundant representations of the acoustic input. Learning will be guided by the intention to fulfil basic needs required to acquire the verbal and non-verbal communication skills of a toddler.
To reach the goal, advances in understanding and realisation are needed in five closely interrelated areas, (1) representations of acoustic signals in multiple parallel temporal and spectral resolutions, (2) methods for patterning signals into coherent structures that correspond to potentially meaningful acoustic events, (3) methods for building and maintaining dynamic emergent patterns in memory, (4) methods for searching in an associative memory, and (5) methods for handling natural interaction between an artificial agent and a human, including verbal and non-verbal (affective) information.
In addition to fundamental scientific knowledge ACORNS will also produce novel techniques that will be integrated and tested into more conventional systems that perform pattern recognition and human-machine interaction. By doing so, ACORNS remedies important weaknesses in today's state-of-the-art speech recognition and dialogue systems.
It is intended that ACORNS will provide a radical new approach to the creation of artificial systems capable of human-like communicative behaviour.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence pattern recognition
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
6525 EZ NIJMEGEN
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.