PerPot and DyCon

The PerPot and DyCoN Homepage

Prof. Dr. J. Perl
Institut für Informatik
Johannes Gutenberg-Universität
Mainz

This page is intended to give an overview on the principle idea of the PerPot and DyCoN models.
Furthermore, some selected publications are available for download as pdf-Files.

PerPot
The PerPot (Performance Potential) model is a dynamical model developed by J. Perl in 1998 which can be used to model a class of antagonistic systems. The principle of antagonism is widely spread in natural systems and seems to be fundamental to a variety of phenomena of observed. In its simplest form, PerPot is a dynamical system having three coupled dynamical variables.
On the one hand, even in this simple form, its dynamics produces a behaviour rather similar to some observable phenomena of adaptation as can be found especially in sport science and more generally in physiology. On the other hand, PerPot can be interpreted as a "Meta Model" in the sense, one or more of the three dynamically variables may be substituted by a complex dynamical subsystem interacting with the other subsystems. For that reason, PerPot can be considered as a whole class of models sharing all the central concept of antagonistic adaptation.

PerPot has been applied successfully to model a variety of systems in sport science, medicine and physiology. However, for its generality, it is most likely to be applicable also to phenomena in other fields.

One application in the field of computer science is the DyCoN model described in the next section.

References concerning PerPot
References concerning both PerPot and DyCoN

DyCoN
The original idea of DyCoN (Dynamically Controlled Network), developed by J. Perl in 1999 was to combine the properties of the PerPot model with a Self Organizing Neural Network paradigm (Kohonen Feature Map, KFM). The main difference between the DyCoN approach and the KFM lies in the way the learning parameters are determined. The model, which resulted from this concept used a PerPot dynamical system as "dynamical unit" in order to compute the learning parameters such that an explicit time dependence as in normal KFM can be avoided.

The concept of coupling the KFM learning parameters with an internal dynamical system, however, turned out to be even more general. As suggested by Michael Hawlitzky and Peter Dauscher, instead of using a PerPot model as the "dynamical unit", also other alternatives are possible, which was shown by some instructive examples in M. Hawlitzky's diploma thesis. In this extended sense, DyCoN again can be considered as a "Meta-Model" the "dynamical unit" of which is exchangable.

DyCoN models have two fields of application: On the one hand, they can be used as a KFM in practical applications (where the overcoming of explicit time dependence may turn out to be useful). On the other hand, they may serve as an abstract model for physiological learning processes and therefore might turn out useful for application in learning psychology and Artificial Life research.

References concerning PerPot
References concerning Process Analyses using conventional Kohonen Feature Maps
References concerning DyCoN
References concerning both DyCoN and PerPot

References

References concerning PerPot

Perl, J. & Endler, S. (2006b).
Training- and Contest-scheduling in Endurance Sports by Means of Course Profiles and PerPot-based Analysis.
In International Journal of Computer Science in Sport, 5, 2, (pp. 42-46).
Full Text

Perl, J. (2006b).
Interaction in Games: Qualitative Analysis by Means of the Load-Performance-Metamodell PerPot.
In International Journal of Computer Science in Sport, 5, 2, (pp. 38-41). Full Text

Perl, J. & Endler, S. (2006a).
Trainings- und Wettkampf-Planung in Ausdauersportarten mit Hilfe von Streckenprofilen und PerPot-gestützter Analyse.
In J. Edelmann-Nusser & K. Witte (Hrsg.), Sport und Informatik IX, (S. 37-42). Shaker: Aachen.

Abstract

Full Text

Perl, J. (2006a).
Modellierung dynamischer Systeme: Grundlagen und Anwendungen in der Leistungsanalyse.
In K. Witte, J. Edelmann-Nusser, A. Sabo & E. F. Moritz (Hrsg.), Sporttechnologie zwischen Theorie und Praxis IV, (S. 29-38). Shaker: Aachen.
Full Text

Perl, J. (2005a).
Dynamic Simulation of Performance Development: Prediction and optimal Scheduling.
In International Journal of Computer Science in Sport, 4, 2, (pp. 28-37).

Abstract

Full Text

Perl, J. (2004b).
Modelling Dynamic Systems – basic aspects and application to performance analysis.
In International Journal of Computer Science in Sport, 3, 2, (pp. 19-28).

Full Text

Perl, J. (2004a).
PerPot – a meta-model and software tool for analysis and optimisation of load-performance-interaction.
In International Journal of Performance Analysis of Sport-e, Volume 4, Number 2.

Abstract

Perl, J. (2003).
On the Long-Term Behaviour of the Performance-Potential-Metamodel PerPot: New Results and Approaches.
In International Journal of Computer Science in Sport, 2, 1, (pp. 80-92).

Abstract
Full Text

Perl, J., Dauscher, P. & Hawlitzky, M. (2003).
On the long term behaviour of the Performance-Potential-Metamodel PerPot.
In International Journal of Computer Science in Sport, Special Ed. 2003, (pp. 12-21).

Abstract
Full Text

Perl, J. (2002).
Adaptation, Antagonism, and System Dynamics. In G. Ghent, D. Kluka & D. Jones (eds.), Perspectives – The Multidisciplinary Series of Physical Education an Sport Science 4, (pp. 105-125). Oxford: Meyer & Meyer Sport.

Abstract

Perl,J. (2001a)
PerPot : A Metamodel for Simulation of Load Performance Interaction
Electronic Journal of Sport Science, 1, No. 2.
Abstract

Perl, J. (2001b)
PerPot: On an antagonistic metamodel and its applications to dynamic adaptation systems
In J. Mester et al. (Ed.),
Proceedings of the 6th Annual Congress of the European College of Sport Science, 2001, Cologne (ECSS)
p.248
Abstract

Perl,J. & Mester, J. (2001).
Modellgestützte Analyse und Optimierung der Wechselwirkung zwischen Belastung und Leistung.
Leistungssport 31, 2, (pp. 54-62).
Full Text

Perl, J. (2000).
Antagonistic Adaptation Systems: An Example of How to Improve Understanding and Simulating Complex System Behaviour by Use of Meta-Models and On Line-Simulation.
Conference Report at IMACS 2000, Lausanne.

Full Text

Mester, J. & Perl, J. (2000).
Grenzen der Anpassungs- und Leistungsfähigkeit aus systemischer Sicht – Zeitreihenanalyse und ein informatisches Metamodell zur Untersuchung physiologischer Adaptationsprozesse.
Leistungssport 30, 1, (S. 43-51).
Full Text

Noll, O. (1998)
Entwicklung eines Level-Raten-Metamodells und exemplarische Modellierung
von Leistungspotentialen
Diploma Thesis, Johannes-Gutenberg-Universität Mainz, 1998

References concerning Process Analyses using conventional Kohonen Feature Maps

Perl, J. (1998)
Aspects and Potentiality of Unconventional Modeling of Processes in Sporting Events.
In: B. Scholz-Reiter, H.-D. Stahlmann & A. Nethe (Eds.), Process Modelling, (S. 74-85). Berlin-Heidelberg: Springer.
Full Text

Lames, M. & Perl, J. (1999)
Identifikation von Ballwechseltypen mit Neuronalen Netzen.
In: K. Roth, Th. Pauer & K. Reichle (Hrsg.), Dimensionen und Visionen des Sports, (S. 133). Hamburg: Szwalina. Abstract

Wünstel, M., Boll, M., Polani, D., Uthmann, Th. & Perl, J. (1999)
Trajectory Clustering using Self-Organizing Maps.
In: S. Sablatnög & S. Enderle (Hrsg.), Workshop RoboCup at KI'99 in Bremen, Germany, (S.41-46). Ulm: Universität, Report 1999/2.

Perl, J. & Lames, M. (2000)
Identifikation von Ballwechselverlaufstypen mit Neuronalen Netzen am Beispiel Volleyball.
In W. Schmidt & A. Knollenberg (Hrsg.), Sport – Spiel – Forschung: Gestern. Heute. Morgen. Schriften der dvs 112, (S. 211-215).
Abstract
Full Text

Perl, J. (1998).
Aspects and Potentiality of Unconventional Modeling of Processes in Sporting Events.
In: B. Scholz-Reiter, H.-D. Stahlmann & A. Nethe (Eds.), Process Modelling, (S. 74-85). Berlin-Heidelberg: Springer.

Abstract
Full Text

... concerning DyCoN

Pfeiffer, M. & Perl, J. (2006).
Analysis of Tactical Structures in Team Handball by Means of Artificial Neural Networks.
In International Journal of Computer Science in Sport, 5, 1, (pp. 4 - 14).
Full Text

Perl, J., Memmert, D., Bischof, J. & Gerharz, Ch. (2006).
On a First Attempt to Modelling Creativity Learning by Means of Artificial Neural Networks.
In International Journal of Computer Science in Sport, 5, 2, (pp. 33-37).
Full Text

Perl, J. & Dauscher, P. (2006).
Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks.
In R. Begg & M. Palaniswami (Eds.), Computational Intelligence for Movement Science, (S. 299-318). Idea Group Publishing: Hershey-London-Melbourne-Singapore.
Full Text

Perl, J. (2006).
Einsatz künstlicher neuronaler Netze zur Mustererkennung im Sport.
In A. O. Effenberg (Hrsg.), Bewegungs-Sonification und Musteranalyse im Sport, (S. 29-36). Cuvillier: Göttingen.

Full Text

Abstract

Memmert, D. & Perl, J. (2006).
Analysis of Game Creativity Development by Means of Continuously Learning Neural Networks.
IIn E. F. Moritz & S. Haake (Eds.). The Enginieering of Sport 6, Vol. 3 (S. 261–266). New York: Springer.
Full Text

Perl, J. (2005).
Soft Computing – Unscharfe Methoden zur qualitativen Analyse von Prozessen im Sport.
In S. Würth, S. Panzer, J. Krug & D. Alfermann (Hrsg.), Schriften der Deutschen Vereinigung für Sportwissenschaft, Band 151, (S. 284).
Abstract

Memmert, D. & Perl, J. (2004).
Game Intelligence Analysis by Means of a Combination of Neural Networks and Variance-Analysis.
In International Journal of Computer Science in Sport.

Full Text

Abstract

Perl, J. (2004b).
A Neural Network approach to movement pattern analysis.
Accepted for Human Movement Science (EWOMS 2003) Preprints are still available directly from the author (perl@informatik.uni-mainz.de).

Abstract
Link

Perl, J. (2004a).
Artificial Neural Networks in Motor Control Research.
In Clinical Biomechanics, 19, 9, (pp. 873-875). Preprints are still available directly from the author (perl@informatik.uni-mainz.de).

Link

Lippold, T., Schöllhorn, W. I., Perl, J., Bohn, C., Schaper, H. & Hillebrand, Th. (2004).
Differenzielles Training im leichtathletischen Sprint mit Simulation und Optimierung eines Trainingsprozesses.
In BISp Jahrbuch 2003, (S. 267-274). Bonn.

Mc Garry, T. & Perl, J. (2004).

Models of sports contests – Markov processes, dynamical systems and neural networks.
In M. Hughes & I. M. Franks (Eds.), Notational Analysis of Sport, (pp. 227-242). London and New York: Routledge.

Full Text

Perl, J. & Weber, K. (2004).
A Neural Network approach to pattern learning in sport.
In International Journal of Computer Science in Sport, 3, 1, (pp. 67-70).

Full Text

Perl, J. (2003b).
Einsatz Neuronaler Netze in der Sportspielanalyse.
In B. Strauß et al. (Hrsg.), dvs 138: sport goes media, (S. 125). Hamburg: Czwalina.

Abstract

Perl, J. & Baca, A. (2003).
Application of Neural Networks to Analyze Performance in Sports.
In Proceedings of the 8th Annual Congress of the European College of Sport Science. Salzburg: ECSS.

Abstract

Perl, J. (2003a).
A Neural Network Approach to Movement.
In W. I. Schöllhorn et al (Hrsg.), European Workshop on Movement Science, (S. 12-13). Köln: Strauß.

Abstract

Raab, M., Perl, J. & Zechnall, D. (2003).
The Mapping of Intrinsic and Extrinsic Information in Continuous Visuo-Motor Control.
In E-Journal Bewegung und Training.

Full Text

Perl, J. (2002)
DYCON: A Dynamically Controlled Neural Network for Life-Long-Learning.
unpublished.
Abstract

Perl, J. (2002)
DyCoN: Ein neuer Ansatz zur Modellierung und Analyse von Sportspiel-Prozessen mit Hilfe neuronaler Netze.
In: K. Ferger, N. Gissel & J. Schwier (Hrsg.), Sportspiele erleben, vermitteln, trainieren, (S. 253-265). Hamburg: Szwalina.
Abstract

Full Text

Perl, J. (2002)
Game analysis and control by means of continuously learning networks.
International Journal of Performance Analysis of Sport 2, (pp. 21-35).
Full Text

Perl, J. & Uthmann, Th. (2002)
Handlungslernen durch Mustererkennung: Einsatz Neuronaler Netze für Analyse und Optimierung von Strategien im Sportspiel.
To appear in: Tagungsband zum Sportspielsymposium 2002 in Bremen.
Abstract

Schöllhorn, W. & Perl, J. (2002)
Prozessanalysen in der Bewegungs- und Sportspielforschung.
Spectrum der Sportwissenschaften 14,1, (S. 30-52).
Abstract

Perl, J. (2001).
DyCoN: Ein dynamisch gesteuertes Neuronales Netz zur Modellierung und Analyse von Prozessen im Sport.
In J. Perl (Hrsg.), Sport & Informatik VIII. Köln: Strauß.
Abstract
Full Text

Perl, J. (2001)
Artificial Neural Networks in Sports: New Concepts and Approaches
International Journal of Performance Analysis in Sport. http://cpa.uwic.ac.uk

Full Text

Muders, Th. (2000)
Modellierung von Lernprozessen mit Hilfe dynamischer Neuronaler Netze
Diploma Thesis, Johannes-Gutenberg-Universität Mainz, 2000

... concerning both Meta Models

Perl, J. (2002).
Adaptation, Antagonism, and System Dynamics. In G. Ghent, D. Kluka & D. Jones (eds.), Perspectives – The Multidisciplinary Series of Physical Education an Sport Science 4, (pp. 105-125). Oxford: Meyer & Meyer Sport.

Abstract
Full Text

M. Hawlitzky (2001)
Untersuchungen zu dynamischen Erweiterungen an Kohonen-Karten
Diploma Thesis, Johannes-Gutenberg-Universität Mainz, 2001

J. Perl (2000)
Antagonistic Adaptation Systems:
An Example of How to Improve Understanding and Simulating Complex System Behaviour
by Use of Meta-Models and On Line-Simulation
Conference Contribution for IMACS 2000, Lausanne
Full Text

Last updated by Thomas Hillebrand 24-July-2007

Perl, J. & Endler, S. (2006b). Training- and Contest-scheduling in Endurance Sports by Means of Course Profiles and PerPot-based Analysis. In International Journal of Computer Science in Sport, 5, 2, (pp. 42-46).	Full Text
Perl, J. (2006b). Interaction in Games: Qualitative Analysis by Means of the Load-Performance-Metamodell PerPot. In International Journal of Computer Science in Sport, 5, 2, (pp. 38-41).	Full Text
Perl, J. & Endler, S. (2006a). Trainings- und Wettkampf-Planung in Ausdauersportarten mit Hilfe von Streckenprofilen und PerPot-gestützter Analyse. In J. Edelmann-Nusser & K. Witte (Hrsg.), Sport und Informatik IX, (S. 37-42). Shaker: Aachen.	Abstract Full Text
Perl, J. (2006a). Modellierung dynamischer Systeme: Grundlagen und Anwendungen in der Leistungsanalyse. In K. Witte, J. Edelmann-Nusser, A. Sabo & E. F. Moritz (Hrsg.), Sporttechnologie zwischen Theorie und Praxis IV, (S. 29-38). Shaker: Aachen.	Full Text
Perl, J. (2005a). Dynamic Simulation of Performance Development: Prediction and optimal Scheduling. In International Journal of Computer Science in Sport, 4, 2, (pp. 28-37).	Abstract Full Text
Perl, J. (2004b). Modelling Dynamic Systems – basic aspects and application to performance analysis. In International Journal of Computer Science in Sport, 3, 2, (pp. 19-28).	Full Text
Perl, J. (2004a). PerPot – a meta-model and software tool for analysis and optimisation of load-performance-interaction. In International Journal of Performance Analysis of Sport-e, Volume 4, Number 2.	Abstract
Perl, J. (2003). On the Long-Term Behaviour of the Performance-Potential-Metamodel PerPot: New Results and Approaches. In International Journal of Computer Science in Sport, 2, 1, (pp. 80-92).	Abstract Full Text
Perl, J., Dauscher, P. & Hawlitzky, M. (2003). On the long term behaviour of the Performance-Potential-Metamodel PerPot. In International Journal of Computer Science in Sport, Special Ed. 2003, (pp. 12-21).	Abstract Full Text
Perl, J. (2002). Adaptation, Antagonism, and System Dynamics. In G. Ghent, D. Kluka & D. Jones (eds.), Perspectives – The Multidisciplinary Series of Physical Education an Sport Science 4, (pp. 105-125). Oxford: Meyer & Meyer Sport.	Abstract
Perl,J. (2001a) PerPot : A Metamodel for Simulation of Load Performance Interaction Electronic Journal of Sport Science, 1, No. 2.	Abstract
Perl, J. (2001b) PerPot: On an antagonistic metamodel and its applications to dynamic adaptation systems In J. Mester et al. (Ed.), Proceedings of the 6th Annual Congress of the European College of Sport Science, 2001, Cologne (ECSS) p.248	Abstract
Perl,J. & Mester, J. (2001). Modellgestützte Analyse und Optimierung der Wechselwirkung zwischen Belastung und Leistung. Leistungssport 31, 2, (pp. 54-62).	Full Text
Perl, J. (2000). Antagonistic Adaptation Systems: An Example of How to Improve Understanding and Simulating Complex System Behaviour by Use of Meta-Models and On Line-Simulation. Conference Report at IMACS 2000, Lausanne.	Full Text
Mester, J. & Perl, J. (2000). Grenzen der Anpassungs- und Leistungsfähigkeit aus systemischer Sicht – Zeitreihenanalyse und ein informatisches Metamodell zur Untersuchung physiologischer Adaptationsprozesse. Leistungssport 30, 1, (S. 43-51).	Full Text
Noll, O. (1998) Entwicklung eines Level-Raten-Metamodells und exemplarische Modellierung von Leistungspotentialen Diploma Thesis, Johannes-Gutenberg-Universität Mainz, 1998

Perl, J. (1998) Aspects and Potentiality of Unconventional Modeling of Processes in Sporting Events. In: B. Scholz-Reiter, H.-D. Stahlmann & A. Nethe (Eds.), Process Modelling, (S. 74-85). Berlin-Heidelberg: Springer.	Full Text
Lames, M. & Perl, J. (1999) Identifikation von Ballwechseltypen mit Neuronalen Netzen. In: K. Roth, Th. Pauer & K. Reichle (Hrsg.), Dimensionen und Visionen des Sports, (S. 133). Hamburg: Szwalina.	Abstract
Wünstel, M., Boll, M., Polani, D., Uthmann, Th. & Perl, J. (1999) Trajectory Clustering using Self-Organizing Maps. In: S. Sablatnög & S. Enderle (Hrsg.), Workshop RoboCup at KI'99 in Bremen, Germany, (S.41-46). Ulm: Universität, Report 1999/2.
Perl, J. & Lames, M. (2000) Identifikation von Ballwechselverlaufstypen mit Neuronalen Netzen am Beispiel Volleyball. In W. Schmidt & A. Knollenberg (Hrsg.), Sport – Spiel – Forschung: Gestern. Heute. Morgen. Schriften der dvs 112, (S. 211-215).	Abstract Full Text
Perl, J. (1998). Aspects and Potentiality of Unconventional Modeling of Processes in Sporting Events. In: B. Scholz-Reiter, H.-D. Stahlmann & A. Nethe (Eds.), Process Modelling, (S. 74-85). Berlin-Heidelberg: Springer.	Abstract Full Text

Pfeiffer, M. & Perl, J. (2006). Analysis of Tactical Structures in Team Handball by Means of Artificial Neural Networks. In International Journal of Computer Science in Sport, 5, 1, (pp. 4 - 14).	Full Text
Perl, J., Memmert, D., Bischof, J. & Gerharz, Ch. (2006). On a First Attempt to Modelling Creativity Learning by Means of Artificial Neural Networks. In International Journal of Computer Science in Sport, 5, 2, (pp. 33-37).	Full Text
Perl, J. & Dauscher, P. (2006). Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks. In R. Begg & M. Palaniswami (Eds.), Computational Intelligence for Movement Science, (S. 299-318). Idea Group Publishing: Hershey-London-Melbourne-Singapore.	Full Text
Perl, J. (2006). Einsatz künstlicher neuronaler Netze zur Mustererkennung im Sport. In A. O. Effenberg (Hrsg.), Bewegungs-Sonification und Musteranalyse im Sport, (S. 29-36). Cuvillier: Göttingen.	Full Text Abstract
Memmert, D. & Perl, J. (2006). Analysis of Game Creativity Development by Means of Continuously Learning Neural Networks. IIn E. F. Moritz & S. Haake (Eds.). The Enginieering of Sport 6, Vol. 3 (S. 261–266). New York: Springer.	Full Text
Perl, J. (2005). Soft Computing – Unscharfe Methoden zur qualitativen Analyse von Prozessen im Sport. In S. Würth, S. Panzer, J. Krug & D. Alfermann (Hrsg.), Schriften der Deutschen Vereinigung für Sportwissenschaft, Band 151, (S. 284).	Abstract
Memmert, D. & Perl, J. (2004). Game Intelligence Analysis by Means of a Combination of Neural Networks and Variance-Analysis. In International Journal of Computer Science in Sport.	Full Text Abstract
Perl, J. (2004b). A Neural Network approach to movement pattern analysis. Accepted for Human Movement Science (EWOMS 2003) Preprints are still available directly from the author (perl@informatik.uni-mainz.de).	Abstract Link
Perl, J. (2004a). Artificial Neural Networks in Motor Control Research. In Clinical Biomechanics, 19, 9, (pp. 873-875). Preprints are still available directly from the author (perl@informatik.uni-mainz.de).	Link
Lippold, T., Schöllhorn, W. I., Perl, J., Bohn, C., Schaper, H. & Hillebrand, Th. (2004). Differenzielles Training im leichtathletischen Sprint mit Simulation und Optimierung eines Trainingsprozesses. In BISp Jahrbuch 2003, (S. 267-274). Bonn.
Mc Garry, T. & Perl, J. (2004). Models of sports contests – Markov processes, dynamical systems and neural networks. In M. Hughes & I. M. Franks (Eds.), Notational Analysis of Sport, (pp. 227-242). London and New York: Routledge.	Full Text
Perl, J. & Weber, K. (2004). A Neural Network approach to pattern learning in sport. In International Journal of Computer Science in Sport, 3, 1, (pp. 67-70).	Full Text
Perl, J. (2003b). Einsatz Neuronaler Netze in der Sportspielanalyse. In B. Strauß et al. (Hrsg.), dvs 138: sport goes media, (S. 125). Hamburg: Czwalina.	Abstract
Perl, J. & Baca, A. (2003). Application of Neural Networks to Analyze Performance in Sports. In Proceedings of the 8th Annual Congress of the European College of Sport Science. Salzburg: ECSS.	Abstract
Perl, J. (2003a). A Neural Network Approach to Movement. In W. I. Schöllhorn et al (Hrsg.), European Workshop on Movement Science, (S. 12-13). Köln: Strauß.	Abstract
Raab, M., Perl, J. & Zechnall, D. (2003). The Mapping of Intrinsic and Extrinsic Information in Continuous Visuo-Motor Control. In E-Journal Bewegung und Training.	Full Text
Perl, J. (2002) DYCON: A Dynamically Controlled Neural Network for Life-Long-Learning. unpublished.	Abstract
Perl, J. (2002) DyCoN: Ein neuer Ansatz zur Modellierung und Analyse von Sportspiel-Prozessen mit Hilfe neuronaler Netze. In: K. Ferger, N. Gissel & J. Schwier (Hrsg.), Sportspiele erleben, vermitteln, trainieren, (S. 253-265). Hamburg: Szwalina.	Abstract Full Text
Perl, J. (2002) Game analysis and control by means of continuously learning networks. International Journal of Performance Analysis of Sport 2, (pp. 21-35).	Full Text
Perl, J. & Uthmann, Th. (2002) Handlungslernen durch Mustererkennung: Einsatz Neuronaler Netze für Analyse und Optimierung von Strategien im Sportspiel. To appear in: Tagungsband zum Sportspielsymposium 2002 in Bremen.	Abstract
Schöllhorn, W. & Perl, J. (2002) Prozessanalysen in der Bewegungs- und Sportspielforschung. Spectrum der Sportwissenschaften 14,1, (S. 30-52).	Abstract
Perl, J. (2001). DyCoN: Ein dynamisch gesteuertes Neuronales Netz zur Modellierung und Analyse von Prozessen im Sport. In J. Perl (Hrsg.), Sport & Informatik VIII. Köln: Strauß.	Abstract Full Text
Perl, J. (2001) Artificial Neural Networks in Sports: New Concepts and Approaches International Journal of Performance Analysis in Sport. http://cpa.uwic.ac.uk	Full Text
Muders, Th. (2000) Modellierung von Lernprozessen mit Hilfe dynamischer Neuronaler Netze Diploma Thesis, Johannes-Gutenberg-Universität Mainz, 2000

Perl, J. (2002). Adaptation, Antagonism, and System Dynamics. In G. Ghent, D. Kluka & D. Jones (eds.), Perspectives – The Multidisciplinary Series of Physical Education an Sport Science 4, (pp. 105-125). Oxford: Meyer & Meyer Sport.	Abstract Full Text
M. Hawlitzky (2001) Untersuchungen zu dynamischen Erweiterungen an Kohonen-Karten Diploma Thesis, Johannes-Gutenberg-Universität Mainz, 2001
J. Perl (2000) Antagonistic Adaptation Systems: An Example of How to Improve Understanding and Simulating Complex System Behaviour by Use of Meta-Models and On Line-Simulation Conference Contribution for IMACS 2000, Lausanne	Full Text