“Majid Nili Ahmadabadi”

Tel:  (+98 21) 22294035
Fax:  (+98 21) 22280352
Email: 

IPM Positions

Non Resident Researcher, School of Cognitive Sciences
(1998 - Present )

Non IPM Affiliations

Professor of School of Electrical and Computer Engineering, College of Eng., University of Tehran

Research Interests

Cognitive robotics, Modeling cognitive systems, Learning systems, Distributed robotics, Object manipulation, and Mobile robots

Present Research Project at IPM

Learning in Multi-agent systems

More Information

Professor of School of Electrical and Computer Engineering, College of Eng., University of Tehran

Related Papers

1. M. Rostami Kangroodi, J. Cook, J. Swart, M. Frobose, D. Geurts, A. Vahabie, M. Nili Ahmadabadi, R. Cools and H. den Ouden
Effects of methylphenidate on reinforcement learning depend on working memory capacity
Psychopharmacology (2021),   [abstract]
2. S. Zendehrouh and M. Nili Ahmadabadi
Individually irrational pruning is essential for ecological rationality in a social context
Cognitive Psychology 118 (2020),   [abstract]
3. S. Rashid Shomali, M. Nili Ahmadabadi, S. N. Rasuli and H. Shimazaki
Judging between Excitation and Inhibition: Identifying Local Network Architecture by an Analytic Pre-Post Relation
( In: Bernstein Conference 2019)
[abstract]
4. S. Rashid Shomali, M. Nili Ahmadabadi, S. N. Rasuli and H. Shimazaki
Uncovering Network Architecture Using an Exact Statistical Input-Output Relation of a Neuron Model
bioRxiv (2019), 1-28  [abstract]
5. S. Masoudnia, O. Mersa, B. Araabi, A. Vahabie, M. Sadeghi and M. Ahmadabadi
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
Expert Systems with Applications (2019),   [abstract]
6. S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli
How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study
Journal of Computational Neuroscience 44:147 (2018), 1-25  [abstract]
7. H. Vahabie, M. Abolghasemi, M. Nili, B. Araabi and H. Esteky
Rapid face adaptation distributes representation in inferior-temporal cortex across time and neuronal dimensions
Scientific Reports 7 (2017), 1-13  [abstract]
8. S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli
Exact spike-timing distribution and its usage in neural structure identification
( In: Statistical physics methods in biology and computer science (Satellite meeting of StatPhys 2016), Ecole Normale Superieure, Paris , July 13 2016, POSTER)
[abstract]
9. S. Rashid Shomali, M. Nili Ahmadabadi, S.N. Rasuli and H. Shimazaki
Exact analysis of spike-timing and higher-order interactions of neurons at the threshold regime suggests network architecture underlying sparse population activity
( In: Society for Neuroscience 2016, San Diego, Nov 14, 2016 POSTER)
[abstract]
10. S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli
Analytical study of correlation and Fisher information caused by common inputs
( In: the 39th Annual Meeting of the Japan Neuroscience Society (Neuro2016),Yokohama, Japan, Jul 22, 2016 POSTER)
[abstract]
11. S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli
Exact spike-timing distribution reveals higher-order interactions of neurons
( In: BMC Neuroscience 2016, 17(Suppl 1):P73, DOI: 10.1186/s12868-016-0283-6)
[abstract]
12. M.R.A. Dehaqani, A. Vahabie, R. Kiani, M. Ahmadabadi, B. Araabi and H. Esteky
Temporal dynamics of visual category representation in the macaque inferior temporal cortex
Journal of Neurophysiology 116 (2016), 587-601  [abstract]
13. Z. Sadeghi, B. Nadjar Araabi and M. Nili Ahmadabadi
A Computational Approach towards Visual Object Recognition at Taxonomic Levels of Concepts
Computational Intelligence and Neuroscience 2015 (2015), 1-10  [abstract]
14. A. Mousavi, B. Araabi and M. Niliahmadabadi
Context Transfer and Q-Transferable Tasks
( In: Knowledge, Skill, and Behavior Transfer in Autonomous Robots: Papers from the 2015 AAAI Workshop)
[abstract]
15. A. Mahmoudi, D. Bang, K. Olsen, Y. Aimee Zhao, Z. Shi, K. Broberg, S. Safavi, S. Han, M. Niliahmadabadi, C. Frith, A. Roepstorff, G. Rees and B. Bahrami
Equality bias impairs collective decision-making across cultures
Proceedings of the National Academy of Sciences 112 (2015), 3835-3840  [abstract]
16. S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli
Theoretical study on spike-timing probability in a pair of pre-post synaptic neurons
( In: Neuro2014, Yokohama, Japan. Sep 11, 2014 POSTER)
[abstract]
17. S. Yaghini Bonabi, H. Asgharian, S. Safari and M. Nili Ahmadabadi
FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model
Frontiers in Neuroscience doi: 10.3389/fnins.2014.00379 (2014),   [abstract]
18. H. Kebriaei, A. Rahimi-Kian and M. Niliahmadabadi
Model-Based and Learning-Based decision making in incomplete information cournot games: A state estimation approach
IEEE Transactions on Systems, Man and Cybernetics 45 (2014), 713-718  [abstract]
19. A. Mousavi, B. Araabi and M. Niliahmadabadi
Context transfer in reinforcement learning using Action-Value functions
Computational Intelligence and Neuroscience 428567 (2014), 1-10  [abstract]
20. Z. Gharaee, A.R. Fatehi, M.S. Mirian and M. Niliahmadabadi
Attention control learning in the decision space using state estimation
International Journal of Systems Science 47 (2014), 1659-1674  [abstract]
21. P. Daee, M.S. Mirian and M. Niliahmadabadi
Reward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood
Plos One 9 (2014), 1-13  [abstract]
22. M.H. Zokaei Ashtiani, M. Nili Ahmad Abadi and B. Nadjar Araabi
Bandit-based local feature subset selection
Neurocomputing 138 (2014), 371-382  [abstract]
23. S. Rashid Shomali, M. Nili Ahmadabadi and S.N. Rasuli
Study the spike-timing distribution between presynaptic and postsynaptic neurons
( In: 2nd IPM Conference on Soft matter, Biological and statistical physics, 25 Oct 2013)
[abstract]
24. Z. Sadeghi, M. Nili Ahmadabadi and B. Nadjar Araabi
Unsupervised Categorization of Objects into Artificial and Natural Superordinate Classes Using Features from Low-Level Vision
International Journal of Image processing (IJIP) 7 (2013), 339-352  [abstract]
25. H. Hajimirsadeghi, M. Nili Ahmad Abadi and B. Araabi
Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action
IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT 5 (2013), 311-325  [abstract]
26. R. Bakhtiari, N. Zürcher, O. Rogier, B. Russo, L. Hippolyte, C. Granziera, B. Nadjar Araabi, M. Nili Ahmadabadi and N. Hadjikhani
Differences in white matter reflect atypical developmental trajectory in autism: A Tract-based Spatial Statistics study
NeuroImage 1 (2012), 48-56  [abstract]
27. R. Bakhtiari, N. Mohammadi Sephavand, M. Nili Ahmadabadi, B. Nadjar Araabi and H. Esteky
Computational model of excitatory/inhibitory ratio imbalance role in attention deficit disorders
Journal of Computational Neuroscience 33 (2012), 389-404  [abstract]
28. M. Mirian, B. Nadjar Aarabi, M. Nili Ahmadabadi and R. Siegwart
Metal: A framework for mixture of experts task and attention learning
Intelligent and Fuzzy System 23 (2012), 111-128  [abstract]
29. M. Mirian, M. Niliahmadabadi, B. Nadjar Arabi and R. Siegwart
Learning active fusion of multiple experts’ decisions: An attention-based approach
Neural Computation 23 (2011), 558-591  [abstract]
30. E. Norouzi, M. Nili Ahmadabadi and B. Nadjar Arabi
Attention control with reinforcement learning for face recognition under partial occlusion
Machine Vision & Applications 22 (2011), 337-348  [abstract]
31. A. Borji, M. Nili Ahmadabadi and B. Araabi
Cost-sensitive learning of top-down modulation for attentional control
Machine Vision & Applications 22 (2011), 61-76  [abstract]
32. A.M. Farahmand, M. Nili Ahmadabadi, C. Lucas and B. Arabi
Interaction of culture-based learning and cooperative co-evolution and its application to automatic behavior-based system design
IEEE Transactions on Evolutionary Computation 14 (2010), 23-57  [abstract]
33. A. Borji, M. Nili Ahmadabadi, B. Nadjar Arabi and M. Hamidi
Online learning of task-driven object-based visual attention control
Image and Vision Computing 28 (2010), 1130-1145  [abstract]
34. . Derhami, . Johari Majid and . Nili Ahmadabadi
Exploration and exploitation balance management in fuzzy reinforcement learning
Fuzzy Sets and Systems 161 (2010), 578-595  [abstract]
35. A. Arami, C. Lucas and M. Nili Ahmadabadi
Attention to multiple local critics in decision making and control
Expert Systems with Applications 37 (2010), 6931-6941  [abstract]
36. M. Harandi, M. Nili Ahmadabadi and B. Arabi
Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition
Computer Vision 81 (2009), 191-204  [abstract]
37. A. Borji, M. Nilli Ahmadabadi and B. Nadjar Araabi
Learning Sequential Visual Attetion Control Through Dynamic State Space Descritization
( In: ICRA 09, Kobe, Japan,)
[abstract]
38. V. Derhami, V. Johari Majid and M. Nili Ahmadabadi
Fuzzy sarsa learning and the proof of existence of its stationary points
Asian Journal of Control 10 (2008), 535-549  [abstract]
39. T. Shahbazi, C. Lucas, M. Nili Ahmadabadi and B. Arabi
Learning decision fusion in concept learning using population based incremental learning (PBIL)
( In: 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran, 2008)
[abstract]
40. T. Shahbazi, B. Arabi and M. Nili
Reinforcement-based Belief Revision: A General Mechanism for Incremental Learning of Belief Mass from Negative and Positive Feedback
( In: 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran, 2008)
[abstract]
41. A. Borji, M. Nilli Ahmadabadi and B. Nadjar Araabi
Learning Object-based Attention Control
( In: NIPS workshop on )
[abstract]
42. A. Borji, M. Nilli and B. Araabi
Interactive Learning of Top-down Attention Control and Motor Actions
( In: IROS workshop on ?From motor to interaction learning in robots)
[abstract]
43. A. Borji, M. Nilli Ahmadabadi and B. Nadjar Araabi
Learning top-down Feature Based Attention Control
( In: ECCV Workshop on Vision in Action: Efficient Strategies for Cognitive Agents in Complex Environments)
[abstract]
44. A. Arami, B. Nadjar Arabi, C. Lucas and M. Nili Ahmadabadi
Learning cluster type and dissimilarity metric for each cluster using a set of possible cluster types
Computer Science & Engineering 5 (2007), 33-45  [abstract]
45. B. Nadjar Arabi, S. Mastoureshgh and M. Nili Ahmadabadi
A study on expertise of agents and its effects on cooperative Q-learning
IEEE Transactions on Systems, Man and Cybernetics 37 (2007), 398-409  [abstract]
46. R. Bakhtiari, B. Nadjar Arabi and B. Nili Ahmadabadi
A cooperative learning approach to mixed performance controller design: a behavioural viewpoint
Intelligent Systems Technologies and Applications 2 (2007), 137-160  [abstract]
47. T. Shahbazi, B. Nadjar Arabi, M. Nili Ahmadabadi and C. Lucas
Modeling Sensor Reliabilities in the Belief Functions Framework for Learning by Evolutionary Algorithms
( In: 1st Joint Congress on Fuzzy and Intelligent Systems, Mashhad, Iran, 2007 )
[abstract]
48. T. Shahbazi, M. Nili Ahmadabadi and B. Nadjar Arabi
Concept Learning using Reinforcement Learning Based on Evidence theory
( In: 1st Joint Congress on Fuzzy and Intelligent Systems, Mashhad, Iran, 2007 )
[abstract]
49. S. Haidarian Shahri and M. Ahmadabadi
A bayesian approach to attention control and concept abstraction
Lecture Notes in Artificial Intelligent 4840 (2007), 155?170  [abstract]
50. H. Mobahi, M. Ahmadabadi and B. Araabi
A biologically inspired method for conceptual imitation using reinforcement learning
Applied Artificial Intelligence 21 (2007), 155 - 183  [abstract]
51. H. Shariatpanahi and M. Ahmadabadi
biologically inspired framework for learning and abstract representation of attention control
Lecture Notes in Artificial Intelligent 4840 (2007), 307-324  [abstract]
52. H. Mobahi, M. Nili Ahmadabadi and B. Nadjar Arabi
Swarm contours: A fast self-organization approach for snake initialization
Applied Artificial Intelligence 12 (2006), 41-52  [abstract]
53. M. Nili Ahmadabadi, A. Imanipour, B. Nadjar Araabi, M. Asadpour and R. Siegwart
Knowledge-based extraction of area of expertise for cooperation in learning
( In: The 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems)
[abstract]
54. A. Harati, M. Nili Ahmadabadi and B. Nadjar Araabi
Knowledge Based Multiagent Credit Assignment: A Study on task Type and Critic Information
Intelligent Automation and Soft Computi 12 (2006), 1-21  [abstract]
55. A. Zaerpoor, M. Nili Ahmadabadi, M.R. Baruni and Z. D. Wang
Distributed Object Transportation on a desired Path Based on Constrain-and-move Strategy
Journal of Autonomous Robots and Systems 50 (2005), 115-128  [abstract]
56. A. Farahmand, M. Nili Ahmadabadi and B. Nadjar Araabi
Behavior Hierarchy Learning in a Behavior-based System using Reinforcement Learning
( In: IROS 2004)
[abstract]
57. A. Abbaspour, C. Lucas and M. Nili Ahmadabadi
Multi Objective Emotional Learning for Portfolio Selection
( In: WAC 2004)
[abstract]
58. A. Abbaspour, C. Lucas and M. Nili Ahmadabadi
Emotional Reinforcement Learning for Portfolio Selection
( In: WSEAS TRANSACTIONS on SYSTEM)
[abstract]
59. S.M.R. Mirfattah, M. Nili Ahmadabadi and B. Nadjar Araabi
Episode and Q-cell sharing Among Heterogeneous Q-Learning Agents: A Cooperative Learning Strategy
( In: IROS-03 Workshop on Learning and Evolution in Multi agent Systems)
[abstract]
60. S. Mastour Eshgh, B. Nadjar Araabi and M. Nili Ahmadabadi
Cooperative Q-Learning in a Team of Specialized Agents
( In: IROS-03 Workshop on Learning and Evolution in Multi agent Systems)
[abstract]
61. S.M.R. Mirfattah, M. Nili Ahmadabadi and B. Nadjar Araabi
Finding Action Equivalences among Heterogeneous for Cooperative Q-Learning
( In: IROS-03 Workshop on Learning and Evolution in Multi agent Systems)
[abstract]
62. A. Harati and M. Nili Ahmadabadi
A New approach to credit assignment in a team of cooperative Q-learning agents
( In: SMC'02)
[abstract]
63. S.M.R. Mirfattah and M. Nili Ahmadabadi
Cooperative Q-learning with heterogeneity in actions
( In: SMC'02)
[abstract]
64. A. Harati and M. Nili Ahmadabadi
Certainty and expertness based credit assignment for cooperative Q-learning agents with an and-type task
( In: ICONIP'02seal'02-FSKD'02)
[abstract]
65. M. Nili Ahmadabadi and M. Asadpour
Expertness based cooperative Q-learning
IEEE Transactions on Systems, Man and Cybernetics 32 (2002), 66-76  [abstract]
66. M. Nili Ahmadabadi
Cooperative Q-learning: The knowledge sharing issue
J. of Advanced Robotics, 15 (2001), 815-832  [abstract]
67. M. Nili Ahmadabadi, M. Asadpour, S.H. khodabakhsh and E. Nakano
Expertness Measuring in Cooperative Learning
( In: IEEE/RS 2000 Int. Conf. on Intelligent Robots and Systems)
[abstract]
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