@inproceedings {2008,
	title = {Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks},
	booktitle = {From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008)},
	series = {Lecture Notes in Computer Science (LNCS)},
	volume = { 5040},
	year = {2008},
	month = {07/2008},
	pages = {148{\textendash}158},
	publisher = {Springer, Berlin, Heidelberg},
	organization = {Springer, Berlin, Heidelberg},
	address = {Osaka, Japan},
	abstract = {We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different overlapping chemicals having varying concentrations. The neural network controls the agent by encoding its sensory information as temporal coincidences in a low concentration environment, and as firing rates at high concentration. With such an architecture, we could study synchronization of firing in a simple manner and see its effect on the agent{\textquoteright}s behaviour.},
	isbn = {978-3-540-69134-1},
	doi = {10.1007/978-3-540-69134-1_15},
	url = {http://link.springer.com/chapter/10.1007/978-3-540-69134-1_15},
	author = {Oros, Nicolas and Volker Steuber and Davey, Neil and Lola Ca{\~n}amero and Roderick G Adams},
	editor = {Asada, Minoru and Hallam, John C T and Jean-Arcady Meyer and Tani, Jun}
}
@inproceedings {2004,
	title = {Using Hormonal Feedback to Modulate Action Selection in a Competitive Scenario},
	booktitle = {From Animals to Animats 8: Proc. 8th Intl. Conf. on Simulation of Adaptive Behavior (SAB{\textquoteright}04)},
	year = {2004},
	pages = {243{\textendash}252},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Los Angeles, USA},
	abstract = {In this paper we investigate the use of hormonal feedback as a mechanism to modulate a "motivation-based," homeostatic action selection mechanism (ASM) in a robot. We have framed our study in the context of a dynamic, multirobot, competitive "two-resource" action selection problem. The introduction of competitors has important consequences for action selection. We first show how the interaction between robots introduces new forms of environmental complexity that affect their viability. Secondly, we propose a "hormone-like" mechanism that, modulating the input of the ASM, tackles these new sources of complexity.},
	isbn = {9780262693417},
	doi = {10.7551/mitpress/3122.003.0031},
	url = {https://www.researchgate.net/profile/Orlando_Avila-Garcia/publication/228958663_Using_Hormonal_Feedback_to_Modulate_Action_Selection_in_a_Competitive_Scenario/links/0deec533c8411ebe0c000000.pdf},
	author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero},
	editor = {Stefan Schaal and Auke Jan Ijspeert and Aude Billard and Sethu Vijayakumar and John Hallam and Jean-Arcady Meyer}
}
@inproceedings {2002,
	title = {Relating Behavior Selection Architectures to Environmental Complexity},
	booktitle = {From Animals to Animats: Proc. 7th International Conference on Simulation of Adaptive Behavior},
	year = {2002},
	pages = {127{\textendash}128},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Edinburgh, Scotland},
	isbn = {9780-262-58217-9},
	author = {Avila-Garc{\'\i}a, Orlando and Hafner, Elena and Lola Ca{\~n}amero},
	editor = {Bridget Hallam and Dario Floreano and John Hallam and Gillian M Hayes and Jean-Arcady Meyer}
}
@inbook {1999,
	title = {Emotions pour les agents situ{\'e}s},
	booktitle = {Intelligence Artificielle Situ{\'e}e},
	year = {1999},
	publisher = {Herm{\`e}s science publications},
	organization = {Herm{\`e}s science publications},
	address = {Paris},
	abstract = {Contrairement {\`a} l{\textquoteright}intelligence artificielle (IA) symbolique, l{\textquoteright}IA situ{\'e}e, qui adopte une vision plus large de l{\textquoteright}intelligence "compl{\`e}te" qui ne la d{\'e}tache pas de sa r{\'e}alisation corporelle et qui s{\textquoteright}int{\'e}resse {\`a} son r{\^o}le adaptatif, ouvre naturellement la porte {\`a} l{\textquoteright}{\'e}tude des r{\^o}les des {\'e}motions d{\textquoteright}un point de vue {\'e}volutif et {\`a} leur int{\'e}gration dans les agents autonomes ou animats comme des m{\'e}canismes favorisant l{\textquoteright}adaptation. Cet article examine les raisons pour lesquelles il semble int{\'e}ressant de doter d{\textquoteright}{\'e}motions les agents situ{\'e}s, en {\'e}tablissant un lien avec les {\'e}motions naturelles, ainsi que les diff{\'e}rentes approches envisageables permettant de mod{\'e}liser les {\'e}motions dans le cadre de l{\textquoteright}IA situ{\'e}e, et les diff{\'e}rents probl{\`e}mes qui en d{\'e}coulent. 

The notion of intelligence underlying symbolic Artificial Intelligence (AI) is tightly coupled to the idea of rationality. On the contrary, situated AI, with a wider view of intelligence that focuses on its embodiment and its adaptive value, allows to study emotional phenomena in animats from the point of view of evolution, and to investigate their adaptive roles. This paper examines the main reasons why it seems interesting to endow animats with emotions, establishing a parallel with natural emotions. It also considers the main approches that can be used to model emotions within situated AI, and the problems they pose. 
},
	isbn = {978-274620076-0},
	author = {D Ca{\~n}amero},
	editor = {Alexis Drogoul and Jean-Arcady Meyer}
}
