Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS
Content archived on 2024-06-16

An abstraction architecture for cognitive agents

Objective

The project will develop and validate a conceptual architecture for Cognitive Agents. The architecture will integrate the cycle of perception-knowledge acquisition-abstraction-reasoning-action generation. Special focus will be given in the abstraction architecture. The concept system is the representation of the knowledge that the agent possesses for its environment and itself. Objects, relations, goals, context information, and solution strategies are considered as knowledge about a situation. The abstraction mechanism is responsible for creating and organising a hierarchy of concepts while the reasoning process operates on the concept system in order to make inferences for virtual actions and select the one that will realise.

The architecture will include attention control as a means of handling complexity, prioritising responses, detecting novelty and creating new goals. Both sensory and motor attention will exist. A goals-oriented computational model will fuse together user tasks with tasks originated from the agent. A goals generation system will enable the agent to produce its own goals. Reinforcement learning will provide the means by which the agent learns solution strategies for the satisfaction of a goal. The loop closes by having new actions modifying the current knowledge through perception. The architecture will be implemented in a robotics application, namely of robot navigation in an arbitrary outdoors environment but it will be in no way specific to this domain.

Major requirements include survival, fast response and user-goal satisfaction. The robotic agent will learn about its own environment before becoming able to satisfy successfully any user goal. The process of retraining prior to becoming service-able will be re-iterated in any new environment. A number of different outdoors environments will be used for testing purposes. The evaluation process will examine the generality, performance, accuracy, scalability and robustness of the architecture.

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

You need to log in or register to use this function

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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

Data not available

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.

STREP - Specific Targeted Research Project

Coordinator

KING'S COLLEGE LONDON
EU contribution
No data
Address
STRAND
WC2R 2LS LONDON
United Kingdom

See on map

Total cost

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.

No data

Participants (4)

My booklet 0 0