AISB Convention 2015

Call for Symposium Proposals: The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Con...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  


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Notice

AISB opportunities Bulletin Item

PhD Vacanacy Self-Explaining Cognitive Agents, Delft University of Technology, THE NETHERLANDS


We are looking for excellent candidates that have received an MSc degree in Artificial Intelligence 
or Computing Science. Candidates that have experience with cognitive agent technology or more 
specifically with agent-oriented programming, and/or automated explanation are invited to apply for 
this position. Candidates should have excellent Java programming skills and preferably a strong 
background in software engineering. Ideally, the candidate also has experience with user evaluation
of software tools.
 
For further details on this position, please contact Dr. K.V. Hindriks (K.V.Hindriks@tudelft.nl). 
Please see www.ii.tudelft.nl on how to apply.
 
Project description
Cognitive agents derive their choice of action from their beliefs and goals. This potentially 
provides these agents with the capability to self-explain their behaviour in terms of these 
concepts. Applications that are built using cognitive agents that can self-explain their behaviour 
can provide users with a better understanding of the application. A recommender agent developed 
using cognitive agent technology could, for example, explain the recommendations it makes to its 
user. An application domain that will be used in the project is that of a negotiating agent that 
is able to explain why it offers the bids that it does in a negotiation. Agents that can explain 
their choice of action are useful not only for end users but also for the developers of such 
agents. An agent developer needs to identify defects in the agent programs s/he writes. Debugging 
an agent program requires analysing the behaviour generated by a cognitive agent program that is 
unexpected or undesired. In order to understand how this behaviour is generated, it would be of 
great value to a programmer if an agent can explain why it chose a certain behaviour.
 
In order to design and develop self-explaining cognitive agent technology, the candidate will work 
on mechanisms that can derive explanations from the traces generated by a cognitive agent program. 
One challenge is to efficiently keep track of the history of a cognitive agent's mental states and 
choices and to design the reasoning technology that can derive explanations from this data and the 
agent program itself. Enabling agents to become more self-explanatory requires work on a language 
for explaining behaviour and associated reasoning technology as well as on tools that allow a user 
to trace the behaviour of an agent and to generate explanations for specific behaviour episodes. 
The aim is to apply techniques from the area of omniscient debugging and develop techniques that 
can be integrated into logic-based agent programming languages. Another challenge is to show that 
the explanation capability developed facilitates both programmers in debugging as well as users 
in understanding agent behaviour. We therefore aim to perform experimental studies to evaluate how 
programmers can benefit from self-explaining agent technology and how a user gains an improved 
understanding of an agent in a negotiation scenario.
 
The PhD will be part of the Interactive Intelligence section. The PhD position is part of a project
on agent-oriented programming that aims to design and develop cognitive agent technology that 
supports and simplifies the engineering of agent-based systems. For more information on the 
Interactive Intelligence group, please visit www.ii.tudelft.nl.