The Algorithmic Human Development group is interdisciplinary, using findings from neuroscience and psychology to study the computational and mathematical aspects of:
Self-attachment is a new, integrative, self-administrable psychotherapy, which has the structure of an algorithm. It uses ideas from attachment theory, developmental neuroscience, fMRI studies of bond-making and neural plasticity along with simulation and imagery techniques in an attempt to promote optimal neural pathways and contain pathological subcortical emotional circuits.
Modelling psychotherapeutic processes
Of general interest are the computational and neural underpinnings of psychotherapeutic techniques that aim to increase self-agency and capacities for emotion regulation, including mentalization and mindfulness.
We investigate the inter-generational transmission of trauma, including (for example) the long term impact of the Mongol invasions in the Middle East. We are particularly interested in the effect of such transmission on the wider capacity for the emergence of cooperative behaviour within an agent population.
Modelling attachment types and behavioral prototypes in artificial neural networks
We attempt to model the early formation of secure, avoidant, ambivalent and disorganised attachment schemas at the neural level, in circuits involved in implicit memory, emotion, fear, reward, social cognition and habitual behaviour.
We study the computational aspects of cognitive-emotional interaction and maturation in the brain, with a particular focus on the effects of attachment-based implicit emotional schemas on cognitive processing.
Insecure early attachment has been linked to a range of psychiatric conditions, including borderline personality and dissociative disorders. We examine the computational mechanisms underlying such disturbances, along with their putative foundations in social cognition.
|A Neural Model of Empathic States in Attachment-Based Psychotherapy||To Appear in Computational Psychiatry (CPSY)||David Cittern, Abbas Edalat||2017|
|An Immersive Virtual Reality Mobile Platform for Self-Attachment||Proceedings of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) Annual Convention||David Cittern, Abbas Edalat, Ibrahim Ghaznavi||2017|
|Self-Attachment: A Holistic Approach to Computational Psychiatry||Computational Neurology and Psychiatry, (Eds.) Peter Erdi, Basabdatta Sen Bhattacharya, Amy Cochran, Springer Series in Bio/Neuroinformatics (ed.: Nikola Kasabov)||Abbas Edalat||2016|
|Introduction to Self-Attachment and its Neural Basis||Proceedings of the International Joint Conference on Neural Networks (IJCNN)||Abbas Edalat||2015|
|Towards a Neural Model of Bonding in Self-Attachment||Proceedings of the International Joint Conference on Neural Networks (IJCNN)||David Cittern, Abbas Edalat||2015|
|Reinforcement Learning for Nash Equilibrium Generation (Extended version)||Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS)||David Cittern, Abbas Edalat||2015|
|An Arousal-Based Neural Model of Infant Attachment||Proceedings of the IEEE Symposium Series on Computational Intelligence: Cognitive Algorithms, Mind, and Brain (IEEE SSCI)||David Cittern, Abbas Edalat||2014|
|A Neural Model of Mentalization/Mindfulness based Psychotherapy||Proceedings of the International Joint Conference on Neural Networks (IJCNN)||Abbas Edalat, Zheng Lin||2014|
|Capacity of strong attractor patterns to model behavioural and cognitive prototypes (Supplementary material)||Proceedings of Advances in Neural Information Processing Systems (NIPS)||Abbas Edalat||2013|
|Strong Attractors of Hopfield Neural Networks to Model Attachment Types and Behavioural Patterns||Proceedings of the International Joint Conference on Neural Networks (IJCNN)||Abbas Edalat, Federico Mancinelli||2013|
|Trauma Hypothesis: The enduring legacy of the Mongol Catastrophe on the Political, Social and Scientific History of Iran||The Persian version appeared in Bukhara magazine, no. 77-78, January 2011 (1389) pages 227-263||Abbas Edalat||2011|
|Self-attachment: an integrative and holistic psychotherapeutic technique||9th International Congress for Psychotherapy (Asian chapter), Tehran||Abbas Edalat||18/05/2016|
|Self-Attachment: proposed method for treating chronic anxiety and depression (in Farsi)||Iranian Psychological Association workshop on self-attachment, Tehran||Abbas Edalat||03-04/01/2015|
|Self-Attachment: A New and Integrative Psychotherapy||Institute of Psychiatry, King's College London||Abbas Edalat||02/05/2013|
|Introducing Self-Attachment||Imperial College Business School||Abbas Edalat||10/01/2013|
|Self-Attachment: A Self-Administrable Intervention for Chronic Anxiety and Depression (Persian version)||Department of Computing Technical Report 2017/3||Abbas Edalat||2017|
|Computational Models of Attachment and Self-Attachment||PhD Thesis||David Cittern||2017|
ae at ic.ac.uk
david.cittern10 at ic.ac.uk
ae at ic.ac.uk
Department of Computing
Imperial College London
180 Queen's Gate
London SW7 2AZ