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Österreichisches Forschungsinstitut für Artificial Intelligence OFAI AIS - Framework and Scenario Lisbon September 2005 Overview Österreichisches Forschungsinstitut für Artificial Intelligence • What have we presented so far? • Immune Engineering – a brief introduction • AISA – Artificial Immune System for Anticipation • The game room-scenario 2 Overview Österreichisches Forschungsinstitut für Artificial Intelligence • What have we presented so far? • Immune Engineering – a brief introduction • AISA – Artificial Immune System for Anticipation • The game room-scenario 3 Level 1 Österreichisches Forschungsinstitut für Artificial Intelligence What have we presented so far? Gibson 1966: „Our perception of the world is expressed in terms of our interactions with it“ 4 Level 2 Österreichisches Forschungsinstitut für Artificial Intelligence What have we presented so far? 5 Level 3 Österreichisches Forschungsinstitut für Artificial Intelligence What have we presented so far? Level 2 6 Overview Österreichisches Forschungsinstitut für Artificial Intelligence • What have we presented so far? • Immune Engineering – a brief introduction • AISA – Artificial Immune System for Anticipation • The game room-scenario 7 Österreichisches Forschungsinstitut für Artificial Intelligence Immune Engineering – a brief introduction • What is the Immune System? • Anatomy of the Immune System • Immune Engineering 8 Österreichisches Forschungsinstitut für Artificial Intelligence What is the Immune System • “a complex system of cellular and molecular components having the primary function of distinguishing self from not self and defense against foreign organisms or substances” (Dorland's Illustrated Medical Dictionary) 9 Österreichisches Forschungsinstitut für Artificial Intelligence What is the Immune System • “The immune system is a cognitive system whose primary role is to provide body maintenance” (Cohen) 10 What is the Immune System – From a computational view Systems that are: Österreichisches Forschungsinstitut für Artificial Intelligence Computational Properties • • • • • • • • • Unique to individuals Distributed Imperfect Detection Anomaly Detection Learning/Adaption Memory Feature Extraction Diverse ..and more • • • • Robust Scalable Flexible Exhibit graceful degradation • Homeostatic 11 Anatomy of the Immune System Österreichisches Forschungsinstitut für Artificial Intelligence • The innate Immune System • The adaptive Immune System 12 Österreichisches Forschungsinstitut für Artificial Intelligence The innate Immune System • The part of the immune system with which we are born • Doesn’t change or adapt • Complement system • Macrophages • Cytokines, natural killer cells 13 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System • Adapts to recognise specific pathogens • Retains a memory which speeds up future responses • Consists primarily of lymphocytes which circulate around the body • Distributed detection system without any central control 14 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System • B lymphocytes 15 The adaptive Immune System Österreichisches Forschungsinstitut für Artificial Intelligence • T lymphocytes • helper cells • killer cells • suppressor cells T-cell antigen 16 The adaptive Immune System Österreichisches Forschungsinstitut für Artificial Intelligence epitope • A detection event occurs when the receptor of a lymphocyte lymphocyte binds to an epitope on a pathogen receptor • Strength of the bond is termed the affinity • Each lymphocyte can have multiple, identical receptors Low affinity structurally similar – high affinity 17 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System Generating Receptor Diversity 18 Österreichisches Forschungsinstitut für Artificial Intelligence Affinity Maturation – A Darwinian process of variation and selection Initial B-cell population Clonal selection and hypermutation Adapted B-Cell population 19 The adaptive Immune System Affinity Maturation Österreichisches Forschungsinstitut für Artificial Intelligence B-Lymphocyte Antigen Clonal Selection 20 The adaptive Immune System Affinity Maturation Österreichisches Forschungsinstitut für Artificial Intelligence B-Lymphocyte high affinity Antigen Clonal Selection 21 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System Affinity Maturation high affinity M Plasma cell Memory cell Clonal Selection 22 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System – Jerne‘s Idiotypic Network • The cells in the immune system can recognise each other as well as pathogens! • An antibody has a paratope and an idiotope • Paratope-idiotope interactions leads to networks of interconnected antibodies 23 Österreichisches Forschungsinstitut für Artificial Intelligence Jerne‘s Idiotypic Network 24 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System – Jerne’s Idiotypic Network • There is no essential difference between the “recognized” and the “recognizer,” • Any given antibody might serve either, or both, functions. 25 Österreichisches Forschungsinstitut für Artificial Intelligence The adaptive Immune System • Idiotypic Networks 26 The adaptive Immune System Österreichisches Forschungsinstitut für Artificial Intelligence • Idiotypic Networkdynamic Idoptope-type 1 Paratope-type 1 Antigen (epitop) Recognising Set 27 The adaptive Immune System Österreichisches Forschungsinstitut für Artificial Intelligence • Idiotypic Networkdynamic Idoptope-type 1 Idoptope-type 2 Paratope-type 2 Paratope-type 1 Internal Image Antigen (epitop) Recognising Set Paratopes p1 are recognised by the idiotopes p2 28 The adaptive Immune System Österreichisches Forschungsinstitut für Artificial Intelligence • Idiotypic Networkdynamic Idoptope-type 1 Paratope-type 1 Idoptope-type 3 Antigen (epitop) Paratope-type 3 Recognising Set Idiotopes i1 are recognised by the paratopes p3 Anti-idiotypic set 29 The adaptive Immune System Österreichisches Forschungsinstitut für Artificial Intelligence • Idiotypic Networkdynamic Idoptope-type 3 Paratope-type 3 Idoptope-type 1 Paratope-type x Anti-idiotypic set paratopes p3 recognise another set of idiotopes i1 Unspecific Set 30 Österreichisches Forschungsinstitut für Artificial Intelligence Immune Engineering • AIS framework proposed by De Castro and Timmis • 31 Österreichisches Forschungsinstitut für Artificial Intelligence Immune Engineering • Schematic representation of an AIS architecture 32 Österreichisches Forschungsinstitut für Artificial Intelligence Immune Engineering • T-Cells - General Suppression Framework • Introduced by Luh and Liu in 2004 33 Overview Österreichisches Forschungsinstitut für Artificial Intelligence • What have we presented so far? • Immune Engineering – a brief introduction • AISA – Artificial Immune System for Anticipation • The game room-scenario 34 Im m u n e L a ye r c lo n a l s e le c tio n , m u ta tio n , n e tw o rk s d y n a m ic s , n e g a tiv e a n d p o s itiv e s e le c tio n , M T-C e lls : G e n e ra l S u p p re s s io n AISA A ffin ity L a ye r Österreichisches Forschungsinstitut für Artificial Intelligence E u clid e a n , H a m m in g , M a n h a tta n , S im ila r, C o m p le m e n ta r y R e p r e se n ta tio n L a ye r A n tig e n r e p r e se n ts th e co m p le te d a ta u n ive r se M u ltip le A n tig e n s fo r e a ch situ a tio n B - C e lls S e n so r a n d D a ta - M e m o r y P o o l / D a ta U n ive r se In fr a r e d U ltr a so n ic V id e o V ir tu a l S e n so r s F ilte r n F ilte r 2 F ilte r 1 35 Österreichisches Forschungsinstitut für Artificial Intelligence AISA • Data Universe 36 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Representation Layer A n tig e n r e p r e se n ts th e co m p le te d a ta u n ive r se M u ltip le A n tig e n s fo r e a ch situ a tio n B - C e lls 37 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Representation Layer - Antibody Robot Action Command C A E partial description of the sensory effects E of doing Action A Description C of sensory information 38 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Representation Layer • Krautmacher and Digler 2004 – AIS based navigation in a Rescue Scenario • Each situation is represented by • many different antigens and • antigen concentration (object distance) 39 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Representation Layer • Krautmacher and Digler 2004 – AIS based navigation in a Rescue Scenario 40 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Affinity Layer • Computationally, the degree of interaction of an antibody-antigen or antibodyantibody can be evaluated by a distance or affinity measure • The choice of affinity measure is crucial: • It alters the shape-space topology • It will introduce an inductive bias into the algorithm • It needs to take into account the dataset used and the problem you are trying to solve 41 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Affinity Layer • • • • • Euclidean Hamming Manhattan Similar Complementary 42 AISA Österreichisches Forschungsinstitut für Artificial Intelligence • Immune Layer • • • • • • • Clonal Selection Mutation Bone Marrow Models Immune Network Models Negative Selection Positive Selection B-Cells - General Suppression 43 Overview Österreichisches Forschungsinstitut für Artificial Intelligence • What have we presented so far? • Immune Engineering – a brief introduction • AISA – Artificial Immune System for Anticipation • The game room-scenario 44 Österreichisches Forschungsinstitut für Artificial Intelligence The game room-scenario • Test bed - objects 45 Österreichisches Forschungsinstitut für Artificial Intelligence The game room-scenario • Test bed - objects 46 Österreichisches Forschungsinstitut für Artificial Intelligence The game room-scenario • Test bed - objects 47 Österreichisches Forschungsinstitut für Artificial Intelligence The game room-scenario • Test bed - confinement 48 Österreichisches Forschungsinstitut für Artificial Intelligence The game room-scenario • The Robots: AIBO 49 Österreichisches Forschungsinstitut für Artificial Intelligence The room-scenario • The robots: KURT3D 50 Österreichisches Forschungsinstitut für Artificial Intelligence Prediction Fractal Machines • • • • • • 2nd approach Proposed by Georg Dorffner coordinated with IDSIA 2nd MindRaces year More to follow … Details see D4.1 51 Österreichisches Forschungsinstitut für Artificial Intelligence Discussion, Ideas, Questions,…