@inproceedings {2007,
	title = {A Bottom-Up Investigation of Emotional Modulation in Competitive Scenarios},
	booktitle = {Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007)},
	series = {Lecture Notes in Computer Science},
	volume = {4738},
	year = {2007},
	month = {09/2007},
	pages = {398{\textendash}409},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Lisbon, Portugal},
	abstract = {In this paper, we take an incremental, bottom-up approach to investigate plausible mechanisms underlying emotional modulation of behavior selection and their adaptive value in autonomous robots. We focus in particular on achieving adaptive behavior selection in competitive robotic scenarios through modulation of perception, drawing on the notion of biological hormones. We discuss results from testing our architectures in two different competitive robotic scenarios.},
	isbn = {978-3-540-74888-5},
	issn = {0302-9743},
	doi = {10.1007/978-3-540-74889-2_35},
	author = {Lola Ca{\~n}amero and Avila-Garc{\'\i}a, Orlando},
	editor = {Ana C R Paiva and Rui Prada and Rosalind W Picard}
}
@inproceedings {2005,
	title = {Hormonal Modulation of Perception in Motivation-Based Action Selection Architectures},
	booktitle = {Proceedings of the Symposium on Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action (SSAISB{\textquoteright}05)},
	year = {2005},
	pages = {9{\textendash}16},
	publisher = {AISB},
	organization = {AISB},
	address = {University of Hertfordshire, Hatfield, UK},
	abstract = {The animat approach to artificial intelligence proposes biologically-inspired control mechanisms for autonomous robots. One of the related subproblems is action selection or what to do next . Many action selection architectures have been proposed. Motivation-based architectures implement a combination between internal and external stimuli to choose the appropriate behavior. Recent studies have pointed out that a second order mechanism to control motivation-based architectures would improve--dramatically their performance. Drawing on the notion of biological hormones we have modeled two of the functionalities ascribed to them in order to improve the adaptivity of motivation-based architectures. We have tested our hormone-like mechanisms in dynamic and unpredictable robotic scenarios. We analyze the results in terms of interesting behavioral phenomena that emerge from the interaction of these artificial hormones with the rest of architectural elements.},
	isbn = {1-902956-41-7},
	url = {https://www.aisb.org.uk/publications/proceedings/aisb2005/2_Agents_Final.pdf},
	author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero},
	editor = {Lola Ca{\~n}amero}
}
@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 {2003,
	title = {Analyzing the Performance of "Winner-Take-All" and "Voting-Based" Action Selection Policies within the Two-Resource Problem},
	booktitle = {Advances in Artificial Life: 7th European Conference, ECAL 2003},
	series = {Lecture Notes in Artificial Intelligence},
	volume = {2801},
	year = {2003},
	note = {<a href="https://link.springer.com/chapter/10.1007\%2F978-3-540-39432-7_79">Download</a>},
	month = {09/2003},
	pages = {733{\textendash}742},
	publisher = {Springer},
	organization = {Springer},
	address = {Dortmund, Germany},
	abstract = {The problem of action selection for an autonomous creature implies resolving conflicts between competing behavioral alternatives. These conflicts can be resolved either via competition, following a {\textquotedblleft}winner-take-all{\textquotedblright} approach, or via cooperation in a {\textquotedblleft}voting-based{\textquotedblright} approach. In this paper we present two robotic architectures implementing these approaches, and report on experiments we have performed to compare their underlying optimization policies. We have framed this study within the context of the {\textquotedblleft}two-resource problem,{\textquotedblright} as it provides a widely used standard that favors systematic experimentation, analysis, and comparison of results.},
	isbn = {978-3-540-20057-4},
	doi = {10.1007/978-3-540-39432-7_79},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-540-39432-7_79},
	author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero and Ren{\'e} te Boekhorst},
	editor = {Banzhaf, Wolfgang and Christaller, Thomas and Dittrich, Peter and Kim, Jan T and Ziegler, Jens}
}
@inproceedings {2003,
	title = {Optimization Criteria Underlying "Winner-Take-All" and "Voting-Based" Action Selection Policies},
	booktitle = {Towards Intelligent Mobile Robots, TIMR{\textquoteright}03: 4th British Conference on Mobile Robotics},
	year = {2003},
	address = {University of the West of England, Bristol},
	author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero and Ren{\'e} te Boekhorst and Davey, Neil},
	editor = {U Nehmzow and C Melhuish}
}
@inproceedings {2002,
	title = {Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents},
	booktitle = {Advances in Artificial Intelligence {\textendash} IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI},
	series = {Lecture Notes in Computer Science},
	volume = {2527},
	year = {2002},
	pages = {855{\textendash}864},
	publisher = {Springer},
	organization = {Springer},
	address = {Seville, Spain},
	abstract = {Embodied autonomous agents are systems that inhabit dynamic, unpredictable environments in which they try to satisfy a set of time-dependent goals or motivations in order to survive. One of the problems that this implies is action selection, the task of resolving conflicts between competing behavioral alternatives. We present an experimental comparison of two action selection mechanisms (ASM), implementing "winner-takes-all" (WTA) and "voting-based" (VB) policies respectively, modeled using a motivational behavior-based approach. This research shows the adequacy of these two ASM with respect to different sources of environmental complexity and the tendency of each of them to show different behavioral phenomena.},
	isbn = {978-3-540-00131-7},
	doi = {10.1007/3-540-36131-6_87},
	author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero},
	editor = {Garijo, Francisco J and Riquelme, Jos{\'e} C and Toro, Miguel}
}
@inproceedings {2002,
	title = {A Comparison of Behavior Selection Architectures Using Viability Indicators},
	booktitle = {Proc. EPSRC/BBSRC International Workshop Biologically-Inspired Robotics: The Legacy of W. Grey Walter},
	year = {2002},
	pages = {86{\textendash}93},
	address = {HP Labs Bristol, UK},
	author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero}
}
@inproceedings {2002,
	title = {First Experiments Relating Behavior Selection Architectures to Environmental Complexity},
	booktitle = {Proc. 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2002)},
	year = {2002},
	pages = {3024{\textendash}3029},
	publisher = {IEEE Press},
	organization = {IEEE Press},
	address = {Lausanne, Switzerland},
	abstract = {Assessing the performance of behavior selection architectures for autonomous robots is a complex task that depends on many factors. This paper reports a study comparing four motivated behavior-based architectures in different worlds with varying degrees and types of complexity, and analyzes performance results (in terms of viability, life span, and global life quality) relating architectural features to environmental complexity.},
	doi = {10.1109/IRDS.2002.1041732},
	author = {Lola Ca{\~n}amero and Avila-Garc{\'\i}a, Orlando and Hafner, Elena}
}
@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}
}
