This is a subset of our recent AmonI research projects, biased
towards things we are interested in continuing working on if
we find the right people and / or funding. More former
projects are available from the list of Joanna
, Joanna Bryson's former research, Alwyn
and Daniel Richardson
home page. For more information on the below projects, see the
author's publications pages. The sofware associated with many
of these projects is available on the AmonI software page
- In addition to our current
research on Behavior
Design (BOD), we maintain a BOD
version of the agent-based modelling tool, MASON,
as well as the jython/python version of BOD's action
used BOD/MASON both for modelling, and for training,
though more could be done with this. Jan
Drugowitsch did a lot of this work, as did Tristan
Caulfield and Andy
- Probably the best version of BOD/POSH for agent-based
modelling is Michael Brooks' BODNetLogo.
- The sort of planning we use for real-time AI (POSH
dynamic plans) has also given us insight into what's wrong
with a different kind of planning, project planning.
We have been working to develop tools & process around
Williams made a good start on this, and John Baillie
Strong made a very good version. This still needs to
be productised and perhaps released with a management
- Our affiliates Cyril Brom, Jacob Gemrot and their teams
in Prague support a version of POSH (with an IDE) in their
games-development platform Pogamut.
They are also interested not only in making game AI easier
to build, but also using it attract highschool students to
- Karolina Sylwester, Simon Powers, Daniel Taylor and
Joanna Bryson (with advice from Benedikt
Herrmann and Simon Gächter) worked on understanding
geographic variation in the prevelance of an apparently
cultural norm, anti-social punishment. They are
Economics to gather the data and Agent Based Modelling to
examine the theory. Some of this is ongoing work for
Bryson and her collaborators.
- Gideon Gluckman did a paper understanding the impact of
social organisation on their genetic evolution. This
understanding how cognition and individual learning affect
adaptive strategies, a common interest held with Joanna
Richards and Daniel Taylor. It also extends from
recent work done
by Hagen Lehmann
on modelling macaque
- Joanna Bryson and Julia
are trying to understand the adaptive strategy of
Joanna is also working with Petra
Kaczensky on this, looking at the specific case of
Asses. Rob Jenks did a recent model of
fission-fusion which is not yet published. Ando Yasushi
did an MSc on the impact of predation on primate social
organization which also still needs extension for
- Daniel Taylor is looking at how social structures in
hominids might influence cultural evolution (see below).
- Michael Tremante explored extending the Behavioural
Economics research paradigm into Second Life using VR
- Hagen Lehmann
completed a PhD on macaque
behaviour. He and Joanna Bryson investigated
the evolutionary origins of primate social organization,
with help from Bernard
- Ando Yasushi did
an exceptionally good MSc project on the impact of
predation on primate social organization.
- Rob Jenks
similarly did an award-winning undergraduate dissertation
on emergent chimpanzee-like fission-fusion social
Lehmann helped with this work.
- Alwyn Barry and Dan Richardson has supervised a number
of project students on flocking behaviour and group
Hilton did an excellent undergraduate project on
this. See also the BOD
& Dog Demo.
- Paul Rauwolf and Dominic Mitchell worked with Gordon
Ingram looking at understanding the impact of gossip on
the evolution of communication. Dominic is also interested
language evolution and public
- Daniel Taylor wrote a PhD on understanding the
evolution of cultural evolution.
- Joanna Bryson has been publising a good deal of work on
interacting differences in representational capacities may
the exceptional size of human culture, see our evolving
culture web page.
- We worked with Harvey
Whitehouse at Oxford University on understanding the
- See also our
experience with real time imitation learning.
Tanguy built a system, EE-FAS,
which produces natural real-time models of emotions for
facial animation using the Dynamic Emotion
Representation. This system is now being
extended. For example, Borui Zhang & Dr. Tanguy
integrated EE-FAS with Elzware's chat
bots; Jiang Yifan worked on using the emotional state to
alter the speech production appropriately. Mary Estell
incorporated the avatar into an intelligent assistive
- Joanna Bryson and Hagen Lehmann
were investigating how emotions interact with the rest of
action selection in primate social models, then they got Philipp
Rohlfshagen to fix it. This is now a part of
the standard jyPOSH,
- Paula Ellis demonstrated that people's ability to
recognize emotions on VR characters depends heavily on the
texture (picture) the character wears. This work
should be extended.
- Visiting student Maria Shugrina and BAI member John Collomose
made an intelligent system, Empathic
Painting that adjusts art to the viewer's emotional
- Swen Gaudl and Rob Wortham both created emotion systems
improving on Philipp Rohlfshagen's as part of their PhDs
- One of the most interesting characteristics of
intelligence is its modularity. Joanna Bryson has
since her PhD been working on modular models of a standard
benchmark task from experimental psychology: Transitive
`Inference' Performance. Her published work was
completed in collaboration with Mark
Baxter and Jonathan C.
S. Leong. See also our current
work on task learning and our primate
- Jack Kenyon extended this research as an undergraduate
project by gathering data on implicit learning of TI in
Wood modelled TI in ACT-R, which helped us better
understand ACT-R and our own model. John Mann
started this work final-year project. Emily Korvin worked
on extending the TI results to transverse patterning in
her 2004 final-year project.
- Mark Wood
for his PhD developed a common framework for individual
and social learning.
Drugowitsch did a PhD with Alwyn Barry on
formalizing our understanding of Learning Classifier
Systems, which combine genetic algorithms,
reinforcement learning and production rule systems. Alwyn
Barry also cosupervised Dr.
Jacob Hurst's PhD at UWE on LCS in robot action
Huang did a PhD on modular representations for
imitation learning of human behaviour for real-time
control of robot grasping, working with our collaborator
Aude Billard at EPFL.
- Joanna Bryson has has a long-running interest on
modularity in learning, for example why different regions
of the brain learn at different rates and with different
physical representational neural substrates. Her work is
particularly focussed on
models of a standard benchmark task from experimental
- Eugene Bann is working on determining the accuracy of
models of emotions by looking at how they are implicitly
described in language on twitter.
- Mark Wood
did a PhD on the computational tractability of imitation
and social learning in task learning for his PhD.
Joanna Bryson has also done work on how culture and
modularity help with this tractability issue, inspired by
- Ivana Cace started our modelling of the evolutionary
consequences of the altruistic communication of behaviour,
when doing her diploma project for Utrecht with
Bilovich also helped fwith this research (funded by
a Nuffield Bursary), and Christos Bechlivanidis extended
the results to the evolution of prestige.
- Joanna Bryson and Yifei Wang are working with Sam
Brown on bacterial social behaviour and
- Joanna Bryson did sabbatical research from 2007-2009 in
Vienna working on modelling the biological
of cultural evolution.
- Joanna Bryson has also looked at how memetics affects
semantics and language learning. With Will Lowe
and Avri Bilovich we have demonstrated these
techniques can detect shifts in semantics over centuries,
by comparing the Bible, Shakespeare and the British
National Corpus. This work is now in Science with the help
of collaborators Arvind Naraynan and Aylin Caliskan
(thanks to another sabbatical, at Princeton.)
Richards worked on understanding the Baldwin Effect
and how it interacts with development and individual
- Dan Taylor worked on understanding lineages,
particularly in memetics.
- Daniel Taylor was also very interested in cultural
evolution specifically and evolutionary mechanisms more
generally. He is working on Rogers Paradox and on
modelling cultural drift and sexual selection.
- Dr. Richardson and two of his PhD students, Andrew Carnell
and Carl O'Dwyer, are working on the dynamics of neural
networks. This includes looking at spike timings and
Liquid State Machines (e.g CSim, due to Maes). See Dan Richardson's
home page for other papers on the topic.
Not all of our applications are scientific.
- Human-like intelligence is useful in computer games
too. Besides being fun, this is a good test-bed for the
usability of BOD & helps us debug and improve
it. This work was most recently done by Francis
Binns and Andrew Mansfield. Sam
Partington and Andy Kwong started this work at Bath.
Brom then Jakub Gemrot have been working with
a group of people working on it at Charles University,
Prague to make creating
intelligence easier with a goal to using it as a
- Swen Gaudl did a PhD on improving game character AI,
possibly through using genetic algorithms.
- Bidan Huang, Jason Leake and Joanna Bryson extended BOD
to work on the iCub robot, with help from collaborators
and their groups at Imperial (Demiris), Plymouth
(Belpaeme) and EPFL (Billard).
- Mark Wood applied and demonstrated his PhD research on
integrating individual and social learning using a single
AI in UT.
- Joanna Bryson has helped advise the Bath
University Submarine Racing Team (BURST) for their
annual competition effort, especially their autonomous
- Joanna Bryson, Dylan
Evans and Veronica
Sundstedt put together a website to help promote and
systems like domestic robots, autonomous rescue
robots and assistive environments.
- Joanna Bryson originally became interested in
intelligent environment through Michael
Coen and Krzyzstof
Gajos. She was brought into the medical
end of it originally by Jim
Edwardson of Newcastle University's Institute
of Aging and Health on this problem. Two of her project
students, Mary Estell and Andrew Beggs have built
prototype systems for this utilising BOD, the DER and
Tanguy's facial avatar EE-FAS.
- Bidan Huang, Jason Leake and Joanna Bryson are working
with the Bath
for Medical Engineering on designing robots to
nurses and help control infection.
- Human-like intelligence is useful in computer games too.
fun, this is a good test-bed for
the usability of BOD & helps us debug and improve
most recent published work on this is by John Grey, who
created generative quests
for non-player characters. These give the characters
history and social networks, making them generally more
interact with. This work needs extending. In 2012,
Simon Davies made a BOD agent for StarCraft II: Brood War,
and Tom Hyde made a BOD team for RoboCup 2D Simulation