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Output details

11 - Computer Science and Informatics

Imperial College London

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Output 29 of 201 in the submission

Output title

Agent Strategies for ABA-based Information-seeking and Inquiry Dialogues

Type

E - Conference contribution

DOI

10.3233/978-1-61499-098-7-324

Name of conference/published proceedings

20th European Conference on Artificial Intelligence (ECAI 2012)

Volume number

242

Issue number

First page of article

324

ISSN of proceedings

Year of publication

2012

URL

Number of additional authors

Additional information

<22>The paper provides a general framework and model for conducting different types of dialogues amongst intelligent agents using argumentation, in a way that guarantees correct arguments and sharing of information. It led to EPSRC project TrADAr (EP/J020915/1 £583.8K) which uses the dialogue model to support collaborative decision making, in general and for medical decisions. The model has been implemented in JADE, in two-agent collaborative settings representing different hospitals, for clinical trials of patients with brain methastasis (collaboration with Dr Matthrew Williams at Charing Cross Hospital). ECAI is top European AI conference. Acceptance: 28%/563. Research student: Xiuyi Fan.

Interdisciplinary

Yes

Cross-referral requested

Research group

A - Logic and Artificial Intelligence

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract