| EPSRC Reference: |
EP/P006272/1 |
| Title: |
Human-Like Computing Machine Intelligence Workshop |
| Principal Investigator: |
Muggleton, Professor S |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computing |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research |
| Starts: |
23 May 2016 |
Ends: |
22 February 2017 |
Value (£): |
33,751
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Human-Computer Interactions |
| New & Emerging Comp. Paradigms |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
Recent prominent advances in statistical AI, such as the success of
driverless cars and Alpha Go's recent defeat of
the 9-dan ranked South Korean Go player Lee Se-dol have considerably
increased public awareness of the potential for computers to achieve
human-level competence in settings which were previously the exclusive
realm of human judgement and skill. However, in human terms
statistical AI techniques still act as skilled zombies, having
unconscious skills detached from the ability to express goals or intentions.
The lack of ability to communicate in a co-operative fashion with
human beings limits the long-term potential of these approaches
in many commercially and socially valuable settings.
The workshop will address issues related to interaction in which human co-operative and communicative skills
can be studied and modelled computationally. While many of these issues have
been prominent for some time in symbolic AI, we are yet
to see successful integration of statistical and symbolic AI approaches
which achieves the broad range of phenomena present in human behaviour.
This workshop aims to contribute to the objectives of the EPSRC's Human-Like
Computing priority area by crystalising the key issues which need to
be prioritised in this area.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.imperial.ac.uk |