@conference {GonzalezEtAl2001,
	title = {Integration of Computational Techniques for the Modelling of Signal Transduction},
	booktitle = {Advances in Systems Science: Measurement, Circuits and Control},
	year = {2001},
	publisher = {WSES Press},
	organization = {WSES Press},
	abstract = {A cell can be seen as an adaptive autonomous agent or as a society of adaptive autonomous agents, where each can exhibit a particular behaviour depending on its cognitive capabilities. We present an intracellular signalling model obtained by integrating several computational techniques into an agent-based paradigm. Cellulat, the model, takes into account two essential aspects of the intracellular signalling networks: cognitive capacities and a spatial organization. Exemplifying the functionality of the system by modelling the EGFR signalling pathway, we discuss the methodology as well as the purposes of an intracellular signalling virtual laboratory, presently under development.},
	url = {http://uk.arxiv.org/abs/cs.MA/0211030},
	author = {P. P. Gonz{\'a}lez and M. C{\'a}rdenas and C. Gershenson and J. Lagunez},
	editor = {N.E. Mastorakis and L.A. Pecorelli-Peres}
}
@conference {GershensonEtAl2000a,
	title = {Action Selection Properties in a Software Simulated Agent},
	booktitle = {{MICAI} 2000: Advances in Artificial Intelligence},
	series = {Lecture Notes in Artificial Intelligence},
	volume = {1793},
	year = {2000},
	pages = {634{\textendash}648},
	publisher = {Springer, Verlag},
	organization = {Springer, Verlag},
	address = {Acapulco, M{\'e}xico},
	abstract = {This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for such ends. A brief review of the Internal Behaviour network is followed by the explanation of the implementation of the simulation. Then, experiments are presented and discussed analysing the properties of the action selection in the proposed model.},
	url = {http://uk.arxiv.org/abs/cs.AI/0211039},
	author = {C. Gershenson and P. P. Gonz{\'a}lez and J. Negrete},
	editor = {{O. Cair{\'o} and L. E. S{\'u}car, F.J. Cant{\'u}}
}
@conference {GershensonGonzalez2000,
	title = {Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism},
	booktitle = {Proceedings of {ISA} {\textquoteright}2000},
	year = {2000},
	address = {Wollongong, Australia.},
	abstract = {This paper presents a model for dynamic adjustment of the motivation degree, using a reinforcement learning approach, in an action selection mechanism previously developed by the authors. The learning takes place in the modification of a parameter of the model of combination of internal and external stimuli. Experiments that show the claimed properties are presented, using a VR simulation developed for such purposes. The importance of adaptation by learning in action selection is also discussed.},
	url = {http://uk.arxiv.org/abs/cs.AI/0211038},
	author = {C. Gershenson and P. P. Gonz{\'a}lez}
}
@conference {GonzalezEtAl2000a,
	title = {A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent},
	booktitle = {{MICAI} 2000: Advances in Artificial Intelligence},
	series = {Lecture Notes in Artificial Intelligence},
	volume = {1793},
	year = {2000},
	pages = {621{\textendash}633},
	publisher = {Springer, Verlag},
	organization = {Springer, Verlag},
	address = {Acapulco, M{\'e}xico},
	abstract = {This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously proposed by the authors. This combination model includes additive and multiplicative elements, which allows to incorporate new properties, which enhance the action selection. A given parameter a, which is part of the proposed model, allows to regulate the degree of dependence of the observed external behaviour from the internal states of the entity.},
	url = {http://uk.arxiv.org/abs/cs.AI/0211040},
	author = {P. P. Gonz{\'a}lez and J. Negrete and A. Barreiro and C. Gershenson.},
	editor = {{O. Cair{\'o} and L. E. S{\'u}car, F.J. Cant{\'u}}
}
@conference {GonzalezEtAl2000b,
	title = {Modelling Intracellular Signalling Networks Using Behaviour-Based Systems and the Blackboard Architecture},
	booktitle = {Proceedings of the International Conference: Mathematics and Computers in Biology and Chemistry {(MCBC} 2000)},
	year = {2000},
	address = {Montego Bay, Jamaica},
	abstract = {This paper proposes to model the intracellular signalling networks using a fusion of behaviour-based systems and the blackboard architecture. In virtue of this fusion, the model developed by us, which has been named Cellulat, allows to take account two essential aspects of the intracellular signalling networks: (1) the cognitive capabilities of certain types of networks{\textquoteright} components and (2) the high level of spatial organization of these networks. A simple example of modelling of Ca2+ signalling pathways using Cellulat is presented here. An intracellular signalling virtual laboratory is being developed from Cellulat.},
	url = {http://uk.arxiv.org/abs/cs.MA/0211029},
	author = {P. P. Gonz{\'a}lez and C. Gershenson and M. C{\'a}rdenas and J. Lagunez}
}
@conference {GershensonEtAl2000b,
	title = {Thinking Adaptive: Towards a Behaviours Virtual Laboratory},
	booktitle = {{SAB} 2000 Proceedings Supplement},
	year = {2000},
	publisher = {ISAB press},
	organization = {ISAB press},
	address = {Paris, France},
	abstract = {In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new perspective for understanding adaptive behaviour. We present our development of a Behaviours Virtual Laboratory, which at this stage is focused in action selection, and show some experiments to illustrate the properties of our proposal, which can be accessed via Internet.},
	url = {http://uk.arxiv.org/abs/cs/0211028},
	author = {C. Gershenson and P. P. Gonz{\'a}lez and J. Negrete},
	editor = {Jean-Arcady Meyer and Alain Berthoz and Dario Floreano and Herbert L. Roitblat and Stewart W. Wilson}
}
