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

Postdoctoral position in Multi-Agent Systems, Nottingham, UK

http://www.nottingham.ac.uk/jobs/currentvacancies/ref/ENG14211

Postdoctoral position in Multi-Agent Systems, Nottingham UK, deadline 15/11/2013

An exciting opportunity has arisen to work at the forefront of research and science in a newly 
formed multi-disciplinary EPSRC Laboratory for Evolvable Assembly Systems based in the Institute 
for Advanced Manufacturing (IfAM). IfAM is a multi-disciplinary centre of excellence driving 
world-class research and knowledge transfer activities across key strategic sectors including 
aerospace and defence, medical and pharmaceutical, automotive and energy. The proposed research 
programme at the Laboratory will provide a unique opportunity for developing Evolvable Assembly 
Systems as a multidisciplinary research theme at the interface between manufacturing engineering, 
computer science, human factors and control engineering.

The goal of the research programme is to define and validate the vision and support architecture, 
theoretical models, methods and algorithms for Evolvable Assembly Systems as a new platform for 
open, adaptable, context-aware and cost effective production. It will create a framework for 
autonomous context-aware and adaptable assembly and manufacturing systems that can co-evolve with 
products, processes, business models and changes to the social environment. This transformational 
approach presents theoretical, technical and social challenges.

The successful candidate will have primary responsibility for the development of an integrated 
architecture and infrastructure for evolvable assembly systems that support self-learning and 
self-adaptation. The architecture will utilise a multi-agent approach, building on standard 
plug and produce interfaces for interoperability and cooperation between assembly units, 
process modules, sensors, RFIDs and metrology devices and from different suppliers including 
legacy systems. In addition, the person appointed will investigate approaches to on-line agent 
composition,  to allow the realization of novel virtual agents from a set of pre-existing 
concrete agents, i.e., of synthesising a controller that directs the available agents to 
achieve a goal that they collectively have the ability to achieve, but none of the pre-existing 
agents knows how to.

The successful candidate will have the opportunity to work closely with colleagues from across 
the Faculty of Engineering and School of Computer Science as well as the research programme 
industrial partners from EADS Airbus, BAE Systems, AstraZeneca, Siemens PLC, General Electric 
and the ABB Group.

 Candidates should be educated to PhD level or equivalent in computer science with experience 
and understanding of the technical areas covered by the Laboratory for Evolvable Assembly Systems 
and excellent communication and presentation skills.

 Informal enquiries may be addressed to Professor Svetan Ratchev (Svetan.Ratchev@nottingham.ac.uk) 
or Dr Brian Logan (Brian.Logan@nottingham.ac.uk) Please note that applications sent directly to 
these email addresses will not be accepted.

Full details available at: http://www.nottingham.ac.uk/jobs/currentvacancies/ref/ENG14211



PhD studentship in Human Agent Collectives, Nottingham, UK

The ORCHID Project (www.orchid.ac.uk) aims to establish a new science that investigates the 
computational and human aspects of a society in which people become increasingly dependent upon 
a plethora of smart and proactive computers that we carry with us, access at home and at work and 
that are embedded into the world around us.  It will establish the foundational underpinnings of 
human-agent collectives (HACs) and drive these understandings to real-world applications in 
critical domains. ORCHID is a collaboration between the universities of Nottingham, Oxford and 
Southampton and several industrial partners.

The successful student will join a dynamic multidisciplinary research team in the Mixed Reality 
Laboratory/Agents Lab at the University of Nottingham, exploring the design and development of 
novel applications with a particular emphasis on how users and autonomous systems might work 
together.

 Areas of particular interest for the studentship include:

          Building trust between humans and agents in HACs
          Adjustable autonomy for (humans and) agents in HACs
          Verification of norms in HACs

 The successful student will benefit from:

          A fully-funded three-year PhD programme within a leading-edge research institution
          Supervision from international leaders in the associated disciplines
          Office and laboratory space on Nottingham's award-winning Jubilee Campus
          Involvement in a multidisciplinary project involving world leading experts in multiple disciplines
          A personal laptop for use on the project.

Students should have an excellent first or preferably postgraduate degree in Computer Science or 
a related subject area.

Informal enquiries may be addressed to Felicia Knowles, Operations Manager, School of Computer 
Science atFelicia.knowles@nottingham.ac.uk.

Full details available at: http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI1312