AISB convention 2017

  In the run up to AISB2017 convention, I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid al-Rifaie ( Tu...


Harold Cohen

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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...



AISB event Bulletin Item

CFP: ICML07 Workshop on Machine Learning for Sensor Planning

                           CALL FOR PAPERS

               Machine Learning for Sensor Planning

               An ICML 2007 Workshop and Competition
               Corvallis, Oregon, USA, June 24, 2007


Sensor planning is the source of very complex decision problems,
as a result of partial observability and the need to reason about
the information gain from sensing actions. Also, sensor planning
is a fundamental enabling technology which has broad applicability
to future intelligent systems in transportation, emergency services
and security.

The challenges posed by the domain of sensor planning are highly
relevant for current machine learning research. ML techniques that
can be applied to sensor planning are wide-ranging, and include
reinforcement learning, evolutionary approaches, model learning
and dynamic programming, etc.

The MLSP workshop aims to encourage multi-disciplinary research
to address these important and challenging problems. It will bring
together researchers from a wide range of ML-related areas. In
addition, we provide a sensor planning benchmark platform to enable
the participants and the wider ML community to compare the
performance of the various techniques.


In order to encourage a practical focus of workshop contributions,
and to provide a benchmark for direct comparison of algorithm
performance, we have defined and implemented a sensor planning
challenge scenario. Researchers are encouraged to submit programs
for the competition, and a competition will take place at the
workshop. Cash prizes totalling 00 will be awarded to winning

To participate at the workshop, software submission is not necessary.
It is possible to submit a paper without software, and to submit
software without a paper.

The Benchmark Challenge Scenario

There has been an earthquake over a large urban region. The search for
survivors focuses on a heavily populated