Books and Edited Volumes:
1.
“Neurodynamics of Higher-Level Cognition and Consciousness,” L. Perlovsky, R. Kozma, (Eds), in Springer Series:
Understanding Complexity, Springer Verlag,
2.
“Handbook of Large-Scale Random Networks,” B. Bollobas, R. Kozma, G. Tusnady, D. Miklos (Eds)
Bolyai-Springer Series on Advanced
Combinatorics, Springer Verlag, New York (2008, in preparation).
3.
“Neuro-Fuzzy
Techniques for Intelligent Information Processing,” Kasabov, N., Kozma R., (Eds) in Series: Studies in Fuzziness and Soft Computing,
480 p., ISBN-3-7908-1187-4, Springer Verlag,
4.
“Progress in
Connectionist-based Information Systems,” Kasabov, N., Kozma, R., Ko, K., O’Shea, R., Coghill, G., Gedeon, T., (Eds) Vol.
1-2, pp.1355, Springer Verlag (1997).
5.
“Noise Investigations on Boiling Effects in a
Simulated MTR-Type Fuel Assembly,” Kozma, R.,
Journal Articles
1.
R.
Ilin, R. Kozma, and P. J. Werbos
(2008) "Beyond
Backpropagation and Feedforward Models: a Practical Training Tool for a More Efficient
Universal Approximator",
IEEE Trans. Neur. Netw.,19(3), June
2008 (in press).
2.
Kozma, R. (2007) “Intentional
systems: Review of neurodynamics, modeling, and robotics implementations,”
Physics of Life Reviews, Vo. 4, No. 4, December 2007 (in press).
3.
Beliaev,
4.
Kozma, R., Harter, D., Achunala,
S. (2007) “Dynamical Aspects of Behavior Generation Under Constraints,” J. Cognitive Neurodynamics, 1(3),
213-223.
5.
Kozma, R., H. Aghazarian, T. Huntsberger, E, Tunstel, W.J. Freeman
(2007) “Computational Aspects of Cognition and Consciousness in Intelligent
Devices,” IEEE Comp. Int. Mag., 2(3),
pp. 53-64.
6.
Kozma, R., Fukuda, T.
(2006) Intentional Dynamic Systems: Fundamental Concepts and Robotics Applications,
Int. J. Intelligent Systems, 21,
875-879.
7.
Harter, D., Kozma,
R.,
(2006) “Aperiodic Dynamics and the Self-Organization of
Cognitive Maps in Autonomous Agents,” Int. J. Intelligent Systems, 21(9),
955-972.
8.
Ilin, R., Kozma, R.
(2006) “Stability of coupled excitatory-inhibitory neural populations &
application to control multistable systems,” Phys. Lett. A, 360, 66-83.
9.
Balister,
P, Bollobas, B, Kozma, R, (2006) "Mean field models of
probabilistic cellular automata",
Random Structures and Algorithms, 29, 399-415.
10. Kozma, R., Puljic, M., Bollobas,
B., Balister, P., Freeman, W.J. (2005) “Phase Transitions in the
Neuropercolation Model of Neural Populations with Mixed Local and Non-Local
Interactions,” Biol. Cybernetics, 92(6), 367-379.
11. Harter, D., Kozma, R.
(2005) “Chaotic Neurodynamics
for Autonomous Agents,” IEEE Trans. Neural Networks, 16(4), pp. 565-579.
12. Puljic, M., Kozma, R.
(2005) “Activation Clustering in Neural and Social Networks,” Complexity,
10(4), 42-50.
13. Kozma, R., Wong, D., Demirer, M.,
Freeman, W.J. (2005) “Learning intentional behavior in the K-model of the
amygdala and enthorhinal cortex with the cortico-hippocampal formation,” Neurocomputing,
65-66, pp. 23-30.
14. R.
Kozma, M. Puljic, P. Balister, B. Bollobas, W.J.
Freeman, (2004) ”Neuropercolation: A Random Cellular Automata Approach to
Spatio-Temporal Neurodynamics,” Lecture Notes in Computer Science, vol.
3305, pp. 435-443.
15. Wang, D.L.,
Freeman, W.J., Kozma, R., Lozowski, A.G., Minai, A.A. (2004) “Guest
Editorial – Special Issue on Temporal Coding for Neural Information
Processing,” IEEE Trans. Neur. Netw., 15(5), pp. 953-956.
16. Kozma, R., Wong, D., Freeman,
W.J., Erdi, P. (2004) “Learning environmental clues in the KIV model of the
cortico-hippocampal formation,” Neurocomputing, 58-60, 721-728.
17. Voicu, H., Kozma, R.,
Wong, D., Freeman, W.J. (2004) “Spatial navigation model based on chaotic
attractor networks,” Connection Science, 16(1), pp. 1-19.
18. Kozma, R., (2003) On the Constructive Role of Noise in Stabilizing
Itinerant Trajectories on Chaotic Dynamical Systems, Chaos, Special Issue on Chaotic Itinerancy, 11(3), pp. 1078-1090.
19. Andras, P.,
Kozma, R., Erdi., P. (2003) “Complex Nonlinear Neural Dynamics:
Experimental Advances and Theoretical Interpretations,” Journal of Integrative Neuroscience, 2(1), pp. 1-3.
20. Kozma, R., Freeman, W.J. (2003) Basic Principles of the
KIV Model and its application to the Navigation Problem, Journal of Integrative Neuroscience, 2(1), pp. 125-146.
21. Kozma, R., Freeman, W.J., Erdi, P. (2003) The KIV Model –
Nonlinear Spatio-temporal Dynamics of the Primordial Vertebrate Forebrain, Neurocomputing, 52-54, pp. 819-826.
22. P.K. Roy, Kozma, R., Majumdar, D.D. (2002)
"From Neurocomputation to Immunocomputation: A Model and Algorithm for
Fluctuation-Induced Phase Transition in Biological Systems," IEEE Transactions in Evolutionary
Computation, 6(3): 292-305.
23. Kozma, R., Freeman, W.J. (2002) Classification of EEG
Patterns Using Nonlinear Neurodynamics and Chaos, Neurocomputing, 44-46, pp. 1107-1112.
24.
25. Kozma, R., Freeman, W.J. (2001). "Chaotic Resonance -
Methods and Applications for Robust Classification of Noisy and Variable
Patterns," Int. J. Bifurcation &
Chaos, Vol. 11, No. 6, pp. 1607-1629.
26. Kozma, R., M. Alvarado, L.J.
27. Freeman, W.J., Kozma, R., Werbos, P.J. (2001)
"Biocomplexity - Adaptive behavior in complex stochastic systems," BioSystems, 59, pp. 109-123.
28. Kozma, R. (2001) "Fragmented attractor boundaries in
the KIII model of sensory information processing — Evidence of Cantor encoding
in cognitive processes," Behavioral
and Brain Sciences, 24(5): 820-821.
29. Freeman, W.J. and Kozma, R. (2000) "Local-global
interactions and the role of mesoscopic (intermediate-range) elements in brain
dynamics," Behavioral and Brain
Sciences, 23(3): 401.
30. Kasabov., N., J.S. Kim, R. Kozma, T. Cohen (2001) “Rule
extraction from fuzzy neural networks FuNN: method and real world
applications,” J. Adv. Comp. Intelligence
& Intelligent Informatics, 5(4), 193-200.
31. Kasabov, N. and Kozma, R. (2000) "Methods and
systems for intelligent human-computer interaction," Special Issue in: Information Sciences, 123(1-2), pp. 1-2.
32. Kozma, R., Kasabov, N.K.; Kim, J.S.; Cohen, A. (1998)
"Integration of connectionist methods and chaotic time-series analysis for
the prediction of process data," International
Journal of Intelligent Systems, 13(6), pp.519-38.
33. Kasabov, N.; Kozma, R. (1998) "Hybrid
intelligent adaptive systems: a framework and a case study on speech
recognition," International Journal
of Intelligent Systems, vol.13, (no.6), p.455-66.
34. Kasabov, N., Kim, J., Kozma, R., (1998) "A fuzzy neural
network for knowledge acquisition in complex time series," Control & Cybernetics, vol. 27(4), 593-611.
35. Kasabov, N., Kozma, R.,
36. Kasabov, N., Kozma, R. (1998) "Introduction:
Hybrid Intelligent Adaptive Systems," International
Journal of Intelligent Systems, vol.13, (no.6), pp.453-454.
37. Kasabov, N., Kozma, R. (1998) “Self-Organization and
Adaptation in Intelligent Systems,” J.
Adv. Comp. Intelligence, 2(6), pp. 177-178.
38. Kozma, R. (1998) "Intermediate-range coupling
generates low-dimensional attractors deeply in the chaotic region of
one-dimensional lattices," Physics
Letters A, vol.244, (1-3), p.85-91.
39. R. Kozma, M. Kitamura, J.E. Hoogenboom (1997) Void
Fraction Measurements in Nuclear Reactors via Neutron Noise Methods, Nucl. Technol., Vol. 118, 242-253.
40. Kozma, R. (1996) "Multi-Level Knowledge
Representation in Neural Networks with Adaptive Structure," Int.J. Syst. Res. Inf. Sci., Vol.7., pp.
1-21.
41. R. Kozma, M. Sakuma, Y. Yokoyama, M. Kitamura (1996)
"On the Accuracy of Mapping by Neural Networks Trained by Backpropagation
with Forgetting," Neurocomputing,
Vol. 13, No. 2-4, pp. 295-311.
42. Kozma, R., A. Malinowski, M. Kitamura, J.M. Zurada (1996)
"On Performance Measures of Artificial Neural Networks Trained by
Structural Learning Algorithm,"
Austral. J. Intell. Information Proc. Systems, Vol.3, No. 2, pp. 10-15.
43. H. Konno, R. Kozma,
M. Kitamura (1996) CML Approach to Power Reactor Dynamics I. Preservation of
Normality, Annals of Nuclear Energy,
Vol. 22, 119-131.
44. R. Kozma, H. Kok, M. Sakuma, D.D. Djainal, M. Kitamura
(1996) "Characterization of Two- Phase Flows using Fractal Techniques, " Int. J. Multiphase Flow, Vol. 22,
953-968.
45. M. Sakuma, R. Kozma, M. Kitamura (1996)
Characterization of Anomalies by Applying Methods of Fractal Analysis, Nucl. Technol., Vol. 113, No. 1,
86-99.
46. R. Kozma, M. Sakuma, S. Sato, M. Kitamura (1995)
"Adaptive Neuro-Fuzzy Signal Processing System Using Structural Learning
with Forgetting." Intelligent
Automation and Soft Computing, Vol. 1. , No. 4, 389-404.
47. R. Kozma, S. Sato, M. Sakuma, M. Kitamura, T. Sugiyama
(1995) "Generalization of Knowledge Acquired by a Reactor Core Monitoring
System Based on a Neuro-Fuzzy Algorithm,"
Progress Nucl. Energy, Vol. 29, Nos. 3-4, 203-214.
48. R. Kozma (1995) "Studies on the Relationship between the
Statistics of Void Fraction Fluctuations and Parameters of Two-Phase Flows,’ Int. J. Multiphase Flow, Vol. 21,
No. 2. 241-251.
49. R. Kozma, K. Nabeshima (1995) Studies on the Detection of Incipient
Coolant Boiling in Nuclear Reactors using Artificial Neural Networks, Annals Nucl. Energy, Vol. 22, No.7
483-496.
50. R. Kozma, S. Sato, M. Sakuma, M. Kitamura (1994)
Detecting Unexperienced Events via Analysis of Error Propagation in a
Neuro-Fuzzy Signal Processing System,
Intelligent Engng. Syst. Artif. Neur. Netw., Vol. 4, 241-246.
51. M. Kitamura, H.
Furukawa, M. Sakuma, R. Kozma, T.
Washio (1994) Robust Diagnosis of Nuclear Plant Anomalies Through Multiple
Neuro Agent Cooperation, Trans. Am. Nucl.
Soc., Vol. 70, No. 1,105-107.
52. R. Kozma, M. Kitamura, J.E. Hoogenboom, M. Sakuma (1994) Credibility
of Anomaly Detection in Nuclear Reactors Using Neural Network, , Trans. Am. Nucl. Soc., Vol. 70, No. 1,
101-103.
53. R. Kozma, H. van Dam, J.E. Hoogenboom (1992) Identification of Flow
Patterns by Neutron Noise Analysis During Actual Coolant Boiling in Thin
Rectangular Channels, Nucl. Technol.,
Vol. 100, 97-110.
54. R. Kozma, J.E. Hoogenboom (1990) Flow Measurements Using Noise
Signals of Axially Displaced Thermocouples, Annals
of Nuclear Energy, Vol. 17, No. 9, pp. 493-513.
55. R. Kozma, J.E. Hoogenboom, H. van Dam (1990) Investigation of the
Field-of-View of Neutron Detectors, Kernenergie,
Vol. 33, No. 4., pp. 191-199.
56. Katona, R. Kozma (1988) Problems of Estimation
of the Thermohydraulic Parameters Using Neutron and Temperature Noise Signals, Progress in Nuclear Energy, Vol.21,
431-445.
57. R. Kozma (1988) Application of Reactor Noise Models for the Analysis
of Thermohydraulic Feedback, Progress in
Nuclear Energy, Vol.21, 309-317.
58. R. Kozma, L. Mesko (1985) Independent Numerical Studies
Via a Multi-Variable Coupled Neutron kinetic-Thermohydraulic Reactor Model, Progress in Nuclear Energy, Vol.15,
699-705.
59. R. Kozma (1985) Effect of Temperature Feedback on the Neutron-Noise
Field in PWRs, Annals of Nuclear Energy,
Vol.12, No.5, 247-258.
60. Mesko, L., R. Kozma, (1984) Investigation of
Stochastic Reactor Noise Models — A One-Variable Space-Time-Dependent Model, Nuclear Science & Engineering,
Vol.88, 88-93.
Book Chapters:
61.
Kozma, R. (2007) “Neurodynamics of
Intentional behavior Generation,” In: Neurodynamics and
Higher-Level Cognition and Consciousness, R. Kozma, L.
Perlovsky (Eds), Springer Verlag,
Heidelberg, Germany, ISBN:
978-3-540-73266-2, pp. 129-159.
62.
Huntsberger,
T., Tunstel, E., Kozma, R. (2006) “Onboard
learning strategies for planetary surface rovers,” Chapter 20 in: Intelligence for Space Robotics, A.
Howard, E. Tunstel (eds). TCI Press,
63. Kelemen, A., Liang, Y., Kozma, R., Franklin, S. (2002)
"Optimizing intelligent Agents’ Constraint Satisfaction with Neural
Networks," In: Innovations in Intelligent Systems (A. Abraham & B.
Nath, Eds.), Springer Series
"Studies in Fuzziness and Soft computing," Springer Verlag,
Heidelberg, Germany, pp. 255-272.
64. Kozma, R., Kasabov, N. (1999) "Generic
neuro-fuzzy-chaos methodologies and techniques for intelligent time-series
analysis," in: Ribeiro, R., Yager, R., Zimmermann, H-J., Kacprzyk, J. (eds) Soft Computing in Financial Engineering,
Physica-Verlag / Springer, Heidelberg, ISBN 3-7908-1173-4, pp. 125-141.
65. Kasabov, N., Kozma, R et al. (1999) "Hybrid
connectionist-based methods and systems for speech data analysis and
phoneme-based speech recognition," In:
Neuro-Fuzzy Techniques for Intelligent Information Processing, N. Kasabov
and R.Kozma, eds., Physica Springer Verlag,
66. Kasabov, N., and R. Kozma, (1998) "Multi-scale
analysis of time series based on a neuro-fuzzy-chaos methodology applied to
financial data," in A. Refenes, A.N. Burgess, J.E. Moody (eds), Decision Technologies for Computational
Finance, Kluwer Academic, ISBN 0-7923-8308-7.
67. Kozma, R., Kasabov, N. (1997) "Chaos and Fractal
Analysis of Irregular Time Series Embedded into a Connectionist
Structure," in: S-I. Amari,
68. Kasabov, N., Kozma,
R. (1997) "Neuro-fuzzy-chaos engineering for building intelligent
adaptive information systems," in: Da Ruan (ed), Intelligent Systems: Fuzzy Logic, Neural Networks and Genetic
Algorithms, Kluwer Acad. Publ., pp. 209-230.
Referred Conference
Proceedings
69. R. Kozma, T. Huntsberger, H. Aghazarian, W.J. Freeman
(2007) “Implementing intentional robotics principles using SRR2K platform,” Proc. IEEE/RSJ int. Conf. on Intelligent
Robots and Systems IROS07, San Diego, Ca, Oct. 29-Nov. 2, 2007, pp.
2262-2267. Runner-up for Best Paper Award of IROS07.
70. R. Kozma, R. Deming, L. Perlovsky (2007) “Estimation of
Propagating Phase Transients in EEG Data -Application of Dynamic Logic Neural
Modeling Approach,” Proc. International Joint Conference on Neural
Networks, IJCNN'07, Aug. 10-14, 2007,
71. R. Linnehan, J. Schindler, D. Brady, R. Kozma, R. Deming, L. Perlovsky
(2007) “Resolving Wall Ambiguities
Using Angular Diverse Synthetic Arrays,” Proc. International Joint Conference on Neural Networks, IJCNN'07,
Aug. 10-14, 2007,
72. R. Ilin and R. Kozma (2007) "Control
of multi-stable chaotic neural networks using input constraints", Proc. International Joint Conference on
Neural Networks, IJCNN'07, Aug. 10-14, 2007,
73. Kozma, R. Perlovsky, R. Deming
(2007) “Optimal Estimation of
Parameters of Transient Mixture Processes Using Dynamic Logic Approach,” Proc. Integration of Knowledge Intensive
Multi-Agent Systems KIMAS 2007. , April 30-May 3, 2007,
74.
R. Kozma, R. Linnehan, L. Perlovsky, D. Brady, John Schindler, (2007) Target
Localization Behind Walls Using Dynamic Logic-Based Autofocusing Approach, IEEE 2007 Radar Conference, April
17-20, 2007, Waltham, MA, pp. 850-855.
75.
Ilin, R., R. Kozma, P. Werbos (2007) “Efficient
Learning in Cellular Simultaneous Recurrent Neural Networks - The Case of Maze
Navigation Problem,” IEEE Int. Symp.
Approx. Dyn. Prog. & Reinforcement Learning, April 2007,
76.
R. Kozma, (2006) “Influence
of Criticality on 1/f^a Spectral Characteristics of Cortical Neuron
Populations,” Proc. IEEE World Congress on Computational
Intelligence, July 16-21, 2006, Vancouver, Canada, IEEE Press, pp. 632-637,
2006.
77.
R. Ilin, R. Kozma, P.J. Werbos (2006) “Cellular SRN trained by extended
Kalman filter shows promise for ADP,” Proc. IEEE World Congress on Computational
Intelligence, July 16-21, 2006,
78.
I. Beliaev, R. Kozma, (2006) “Studies on the memory capacity and robustness of
chaotic dynamic neural networks,” Proc. IEEE World Congress on Computational
Intelligence, July 16-21, 2006,
79.
K.K. Majumdar, R. Kozma (2006) “Studies on Sparse Array Cortical Modeling and
Memory Cognition Duality,” Proc. IEEE World Congress on Computational
Intelligence, July 16-21, 2006,
80.
Kozma, R., Buczak,
A. (2006) “Biomedical Hypothesis Generation & Testing by Evolutionary
Computation ,“ Proc. Int. Conference on Data Mining DMIN’06, Eds.
S. Crone et al., Recipient of Best Paper
Award, June, 2006, Las Vegas, CSREA Press, 97-106.
81.
R. Kozma, M. Puljic (2006) “Noise-Mediated
Intermittent Synchronization of Collective Behaviors in the Probabilistic
Cellular Automata Model of Neural Populations,” 10th Artificial Life Conference ALIFEX, June 3-7, 2006,
82.
Kozma, R., Tunstel, E. (2005) “A novel approach to distributed sensory
networks using biologically-inspired sensory fusion,” IEEE 2005 Syst. Man, & Cyb. Conf., October 2005,
83. Kozma, R., Myers, M. (2005) “Modeling Phase Transitions
using KIV Approach,” IEEE/INNS Joint
Conference on Neural Networks IJCNN’05, July 30-Aug. 5, 2005, Montreal, Canada,
pp. 125-130.
84. Ilin, R., Kozma, R. (2005) ”Stability
Conditions of the full KII Model of Excitatory and Inhibitory Neural
Populations,” IEEE/INNS Joint
Conference on Neural Networks IJCNN’05, July 30-Aug. 5, 2005, Montreal, Canada, pp.
3162-3167.
85. Azhar, H.,
Iftekharuddin, K., Kozma, R. (2005)
“A Chaos Synchronization-Based Dynamic Vision Model for Image
Segmentation,” IEEE/INNS Joint
Conference on Neural Networks IJCNN’05, July 30-Aug. 5, 2005,
86. Wong, D., Myers, M., Kozma, R., Thirumalainambi, R. (2005)
“Intentional navigation and phase transition analysis in amygdale of KIV
model,” SAE 2005 Transactions Journal of
Aerospace, 2005-01-3381, SAE International Publ., pp. 1227-1232.
87. Wong, D., Kozma, R., Tunstel, E., Freeman, W.J.
(2004) “Navigation in a Challenging Martian Environment Using Multi-Sensory
Fusion in KIV Model,” Proc. IEEE Int. Conf. Robotics & Automation
ICRA’04, April 28 – May 1, 2004, New Orleans, LA, IEEE Press, pp. 672-677.
88. Harter, D, Kozma, R.
(2004). “Aperiodic Dynamics for Appetitive/Aversive Behavior in
Autonomous Agents,” Proc.IEEE Int. Conf. Robotics & Automation ICRA’04,
April 28 – May 1, 2004, New Orleans, LA, IEEE Press, pp. 2147-2152.
89. Harter, D., Kozma, R.
(2004) “Aperiodic Dynamics and the Self-Organization of Cognitive Maps in
Autonomous Agents,” Proc. 17th Int. FLAIRS Conference, Eds. V. Barr,
Z. Markov, May 17-19, 2004, Miami Beach, FL, AAAI Press, ISBN 1-57735-201-7.
90. Harter, D., Kozma, R.
(2004) “Navigation and Cognitive Map Formation using Aperiodic Neurodynamics,” Proc.
8th Int. Conf.: From Animals to Animats - Simulation of Adaptive Behavior
SAB'04, July 13-17, 2004, Los Angeles, CA, The MIT Press, Bradford Book, pp.
264-273.
91. Kozma, R. (2004) “On
noise-induced resonances in neurodynamic models,” IEEE/INNS 2004 Int. Joint
Conference on Neural Networks IJCNN’04, July 25-29, 2004, Budapest,
Hungary, IEEE Press, Piscataway, NJ, pp. 3041-3045.
92. Muthu, S., Kozma, R.,
Freeman, W.J. (2004) “Applying KIV Dynamic Neural Network Model for Real Time
Navigation by Mobile Robot Aibo,” IEEE/INNS 2004 Int. Joint Conference on Neural
Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE Press,
Piscataway, NJ, pp. 1617-1622.
93. Ilin, R., Kozma, R.,
Freeman, W.J. (2004) “Studies on the Conditions of Limit Cycle Oscillations in
the KII Models of Neural Populations,” IEEE/INNS 2004 Int. Joint Conference
on Neural Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE
Press, Piscataway, NJ, pp. 1511-1517.
94. Beliaev, I., Kozma,
R. (2004) “Time series prediction using chaotic neural networks: Case study
of IJCNN CATS benchmark test,” IEEE/INNS 2004 Int. Joint Conference on
Neural Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE Press,
Piscataway, NJ, pp. 1609-1613.
95. A.
Lendasse , G. Simon
,
R. Kozma , V. Wertz
,
M. Verleysen (2004) Fast Bootstrap for
Least-square Support Vector Machines, 12th European Symp. Neural
Networks, ESANN 2004,
96. Kozma, R., Wong, D., Tunstel, E.,
Freeman, W.J. (2004) “The role of amygdala on the behavior of intentional
autonomous agents,” 1st Intelligent Systems Technical Conference of the
American Institute of Aeronautics and Astronautics AIAA.
97. Gomez, J. Kozma, R. (2004) “Fuzzy Class Binarization using Coupled
Map Lattices,” North American Fuzzy Information Processing Conference
NAFIPS’04, June 27-30, 2004,
98. Harter, D. and Kozma,
R. (2004). Complex Systems Approaches to the Ontogenetic
Development of Behavior.” 1st Intelligent Systems Technical
Conference of the American Institute of Aeronautics and Astronautics AIAA.
99.
Kozma, R., Muthu, S. “Implementing Reinforcement Learning
in the Chaotic KIV Model using Mobile Robot Aibo,” 2004 IEEE/RSJ Int. Conf.
on Intelligent Robots and Systems IROS’04, Sept. 28 – Oct. 2, 2004, Sendai,
Japan, IEEE Press, pp. 2337-2342.
100. Kozma, R., Voicu, H., Wong, D., Freeman, W.J. (2003) “A
Dynamical Neural Network Algorithm for Autonomous Learning and Navigation
Control,” IEEE 2003 International Conference on Systems, Man, &
Cybernetics SMC'03,
101. Kozma, R., Ankaraju, P. (2003) Learning Spatial Navigation
Using Chaotic Neural Network Model, International
Joint Conference on Neural Networks IJCNN’2003, Portland, OR, July 14-19,
2003, pp. 1476-1479.
102. Li, H., Kozma, R. (2003) A Dynamical Neural
Network Method for Time Series Prediction Using the KIII Model, International Joint Conference on Neural
Networks IJCNN’2003, Portland, OR, July 14-19, 2003, pp. 347-352.
103. Puljic, M., Kozma, R. (2003) Phase Transitions in a
Probabilistic Cellular Neural Network Model Having Local and Remote
Connections, International Joint
Conference on Neural Networks IJCNN’2003,
104. Kozma, R., Li, H., Freeman, W.J. (2003) “Learning
environmental clues in the KIV model,” Computational Neuroscience Conference
CNS*2003, July 4-9, 2003,
105. Kozma, R., Freeman, W.J., Erdi, P. (2002) "The
KIV-Model: Spatio-Temporal Dynamics of the Cortico-Hippocampal System," 2002 Computational Neuroscience Conference
CNS*2002,
106. Harter, D., Kozma, R. (2002) "Simulating the
Principles of Chaotic Neurodynamics," in the Proceedings of the 6th World
Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), July
15-17, 2002, Orlando, Florida, Vol. XIII, pp. 598-603.
107. Kozma, R., Harter, S., Achunala, S. (2002) "Action
Selection Under Constraints: Dynamic Optimization of Behavior in Machines and
Humans," International Joint
Conference on Neural Networks IJCNN’02, World Congress on Computational
Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 2574-2579.
108. Pramanik, S., Kozma, R., Dasgupta, D. (2002)
"Dynamical Neuro-Representation of an Immune Model and its Application for
Data Classification," International
Joint Conference on Neural Networks IJCNN’02, World Congress on
Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp.
130-135.
109. Kozma, R., P. Balister, B. Bollobas (2002)
"Self-organized development of behaviors in spatio-temporal dynamical
systems," International Joint
Conference on Neural Networks IJCNN’02, World Congress on Computational
Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp.2261-2265.
110. Kozma, R.,
Majumdar, N.S., Dasgupta, D. (2002) "Optimum Complexity Neural
Networks for Anomaly Detection Task," International
Joint Conference on Neural Networks IJCNN’02, World Congress on
Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002,
pp.1138-1142.
111. Kondadadi, R., Kozma, R. (2002) "A Modified Fuzzy
ART for Soft Document Clustering," International
Joint Conference on Neural Networks IJCNN’02, World Congress on
Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp.
2545-2549.
112. Kelemen, A., Kozma, R., Liang, Y. (2002)
"Neuro-Fuzzy classification for the job assignment problem," International Joint Conference on Neural
Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002,
Honolulu, Hawaii, May 12-17, 2002, pp. 1831-1836.
113. F. Gonzalez, D.
Dasgupta, R. Kozma (2002)
"Combining Negative Selection and Classification Techniques for Anomaly
Detection," International Conference
on Evolutionary Computation, ICEC’02, World Congress on Computational
Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 705-710.
114. M.H. Garzon, P.
Ankaraju, E. Drumwright and R. Kozma
(2002) "Neurofuzzy Recognition and Generation of Facial Features in
Talking Heads," IEEE International
Conference on Fuzzy Systems, Fuzzy-IEEE’02, World Congress on Computational
Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 926-931.
115. Kozma, R., Balister, P., Bollobas, B., Freeman, W.J.
(2001) "Dynamical Percolation Models of Phase Transitions in the
Cortex," in: Proc. NOLTA’01 Nonlinear Theory and Applications Symposium,
Miyagi, Japan, Oct. 28-Nov. 1, 2001, Vol. 1, pp. 55-59.
116. Kozma, R., Freeman, W.J. (2001) "Control of
Mesoscopic/ Intermediate-Range Spatio-Temporal Chaos in the Cortex," Proc. 2001 American Control Conference ACC01,
June 25-27, 2001,
117. Kozma, R., D. Harter, W. Freeman, S. Franklin (2001)
"Self-Organizing Ontogenetic Development for Autonomous Adaptive
Systems," IEEE/INNS Int. Joint Conf.
Neural Networks,
118. Kozma, R., W.J. Freeman (2001) "Analysis of Visual
Theta Rhythm - Experimental and Theoretical Evidence of Visual Sniffing," IEEE/INNS Int. Joint Conf. Neural Networks,
119. Kozma, R., W.J. Freeman (2001) "Use of nonlinear
dynamics and chaos for classification of EEG patterns," Int. Conf. Computational Neuroscience CNS*2001, June
30-July 5,
120. Harter, D., Kozma, R., Franklin, S. P. (2001)
" Task environments for the dynamic development of behavior,"
International Conf. Computer Science ICCS/ISDA, May 28-30, 2001,
121. Harter, D., Kozma, R., Graesser, A.C. (2001)
"Models of ontogenetic development for autonomous adaptive systems,"
in: Proceedings of the 23rd Annual Conference of the Cognitive Science Society
(CogSci 2001), Edinburgh, U.K., August 1-4, 2001.
122. Harter, D., Kozma, R. (2001) "Ontogenetic
development of behavior for simple tasks," Proceedings of the Artificial
Intelligence and Soft Computing Conference (ASC 2001), Cancun, Mexico, May,
2001, pp. 410-413.
123. Harter, D., Kozma, R., Franklin, S. P. (2001)
"Ontogenetic development of skills, strategies, and goals for autonomously
behaving systems ," World Conference on Systemic, Cybernetics, and
Informatics, SCI’2001. July 22-25, 2001. Vol. III, pp. 178-182.
124. Kozma, R. and W.J. Freeman (2000) "Encoding and
recall of noisy data as chaotic spatio-temporal memory patterns in the style of
the brains," Proc. IEEE/INNS Int.
Joint Conf. Neural Networks IJCNN2000, July 24-27, Como, Italy, Vol. 5, pp.
33-38.
125. Kozma, R. and W.J. Freeman (2000) "The effect of
external and internal additive noise on the pattern classification performance
of chaotic neural networks," Proc.
Int. Conf. on Systemics, Cybernetics, & Informatics SCI2000, Orlando,
Fl, July 23-26, Vol. 10, pp. 407-412.
126.
127. Kozma, R. and W.J. Freeman (1999) "A possible
mechanism for intermittent oscillations in the KIII model of dynamic memories —
the case study of olfaction," Proc.
IEEE/INNS Int. Joint Conf. Neural Networks, July 10-16,
128.
129. Kozma, R., N. Kasabov (1998) "Rules of chaotic
behavior extracted from a fuzzy-neural network," Proc. WCCI’98, Int. Conf. Fuzzy Systems FUZZ-IEEE,