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

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


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 opportunities Bulletin Item

Postdoctoral position in Multi-Agent Systems, Nottingham, UK

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 ( 
or Dr Brian Logan ( Please note that applications sent directly to 
these email addresses will not be accepted.

Full details available at:

PhD studentship in Human Agent Collectives, Nottingham, UK

The ORCHID Project ( 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 

 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 

Full details available at: