@article {Hapke-and-Komosinski-2008,
	title = {Evolutionary Design of Interpretable Fuzzy Controllers},
	journal = {Foundations of Computing and Decision Sciences},
	volume = {33},
	number = {4},
	year = {2008},
	pages = {351{\textendash}367},
	abstract = {This paper presents an approach that allows to evolve fuzzy controllers that can be expressed as fuzzy rules in human-readable form and interpreted. For comparison, the evolution is also performed on simple neural controllers. The control task considered here is a balancing problem, where a construct made of articulated elastic elements is equipped with sensors and actuators. The goal of the construct is to keep the top heavy part from touching the ground. Evolved controllers are evaluated using computer simulation. Control systems process signals from tilt sensors to actuators fixed in the construct. During evolution, fuzzy controllers (including their fuzzy sets and rules) are reconfigured by genetic operators in order to maximize fitness of the control. The article compares evolvability of neural and fuzzy controllers and demonstrates how additional, comprehensible knowledge can be gained which explains the work of the fuzzy controller. The representation for the fuzzy control system, evolutionary operators, various evaluation functions, and the best evolved control systems are presented. A sample evolved fuzzy control system is analyzed in detail to explain its behavior.},
	url = {http://www.framsticks.com/files/common/EvolveInterpretableFuzzyControl.pdf},
	author = {Maciej Hapke and Maciej Komosinski}
}
@conference {2339,
	title = {Imitation and mirror neurons: an evolutionary robotics model},
	booktitle = {BNAIC 2008: 20th Belgian-Dutch Conference on Artificial Intelligence},
	year = {2008},
	address = {Enschede},
	abstract = {The involvement of the mirror neuron system (MNS) in both imitation and action understanding has been firmly established. Various authors have claimed that the MNS{\textquoteright}s function in facilitating imitation builds upon its role in action understanding and is a phylogenetically later development. We argue that this hypothesis lacks sufficient evidence and present support for the reverse: the phylogenetically primary function of the MNS is imitation and the MNS could have evolved in response to a selective pressure for imitative behavior. This hypothesis was tested using evolutionary robotics simulation techniques. The simulation was conducted with embodied and embedded agents with a lifetime-adapting neural network for which the learning parameters were evolutionarily optimized. The agents had to perform an imitation task. Analysis of the resulting controller revealed artificial neurons showing clear mirror characteristics, suggesting that, indeed, mirror neurons evolve due to a selective pressure for imitative behavior.},
	author = {Spaak, Eelke and Haselager, Pim F. G.},
	editor = {Anton Nijholt and Maja Pantic and Mannes Poel and Hendri Hondorp}
}
@article {pyles2007visual,
	title = {Visual perception and neural correlates of novel {\textquoteright}biological motion{\textquoteright}},
	journal = {Vision Research},
	volume = {47},
	number = {21},
	year = {2007},
	pages = {2786{\textendash}2797},
	publisher = {Elsevier},
	doi = {10.1016/j.visres.2007.07.017},
	url = {http://dx.doi.org/10.1016/j.visres.2007.07.017},
	author = {Pyles, J.A. and Garcia, J.O. and Hoffman, D.D. and Grossman, E.D.}
}
@inbook {Jelonek-and-Komosinski-2006,
	title = {Biologically-inspired Visual-motor Coordination Model in a Navigation Problem},
	booktitle = {Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science 4253},
	year = {2006},
	pages = {341{\textendash}348},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin},
	abstract = {This work presents a biologically-inspired coordination model which associates motor actions with visual stimuli. The model is introduced and explained, and navigation experiments are reported that verify the implemented visual-motor system. Experiments demonstrate that the system can be trained to solve navigation problems consisting in moving around a 3D object to reach a specific location based on the visual information only. The model is flexible, as it is composed of an adjustable number of modules. It is also interpretable, i.e. it is possible to estimate the influence of visual features on the motor action.},
	doi = {10.1007/11893011_44},
	url = {http://www.framsticks.com/files/common/BiologicallyInspiredVisualMotorCoordinationModel.pdf},
	author = {Jacek Jelonek and Maciej Komosinski},
	editor = {B. Gabrys and R.J. Howlett and L.C. Jain}
}
@article {pyles2006brain,
	title = {Brain activity evoked by perception of novel "biological motion"},
	journal = {Journal of Vision},
	volume = {6},
	number = {6},
	year = {2006},
	pages = {794{\textendash}794},
	publisher = {Association for Research in Vision and Ophthalmology},
	author = {Pyles, J.A. and Garcia, J.O. and Hoffman, D.D. and Grossman, E.D.}
}
@mastersthesis {Hoffmann-2006thesis,
	title = {Structural coupling with environment and its modelling on neural driven agents},
	year = {2006},
	type = {masters},
	url = {http://www.framsticks.com/files/common/MSc_Hoffmann_StructuralCoupling.pdf},
	author = {Matej Hoffmann}
}
@conference {Hapke-et-al-2003,
	title = {Application of Evolutionarily Optimized Fuzzy Controllers for Virtual Robots},
	booktitle = {Proceedings of the 7th Joint Conference on Information Sciences},
	year = {2003},
	month = {September},
	pages = {1605{\textendash}1608},
	publisher = {Association for Intelligent Machinery},
	organization = {Association for Intelligent Machinery},
	address = {North Carolina, USA},
	url = {http://www.framsticks.com/files/common/EvolvedFuzzyControl_CINC2003.pdf},
	author = {Maciej Hapke and Maciej Komosinski and Dawid Waclawski}
}
@article {Hapke-et-al-2002,
	title = {Evolutionary optimization of fuzzy controllers for virtual robots},
	number = {RA-010/02},
	year = {2002},
	institution = {Poznan University of Technology, Institute of Computing Science},
	keywords = {EA, Fuzzy, Robotics},
	author = {Maciej Hapke and Maciej Komosinski and Dawid Waclawski}
}
@book {Komosinski-2000,
	title = {The World of {F}ramsticks: Simulation, Evolution, Interaction},
	series = {Virtual Worlds. Lecture Notes in Artificial Intelligence No. 1834},
	year = {2000},
	pages = {214{\textendash}224},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin},
	keywords = {Agents, AL, Simulation, Theory},
	url = {http://www.framsticks.com/files/common/Komosinski_FramsticksSimul_VW2000.pdf},
	author = {Maciej Komosinski},
	editor = {Jean-Claude Heudin}
}
