@article {Komosinski-et-al-2014,
	title = {Identifying efficient abductive hypotheses using multi-criteria dominance relation},
	journal = {ACM Transactions on Computational Logic},
	volume = {15},
	number = {4},
	year = {2014},
	pages = {28:1{\textendash}28:20},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	abstract = {In this article, results of the automation of an abductive procedure are reported. This work is a continuation of our earlier research, where a general scheme of the procedure has been proposed. Here, a more advanced system developed to generate and evaluate abductive hypotheses is introduced. Abductive hypotheses have been generated by the implementation of the Synthetic Tableau Method. Before the evaluation, the set of hypotheses has undergone several reduction phases. To assess usefulness of abductive hypotheses in the reduced set, several criteria have been employed. The evaluation of efficiency of the hypotheses has been provided by the multi-criteria dominance relation. To comprehend the abductive procedure and the evaluation process more extensively, analyses have been conducted on a number of artificially generated abductive problems.},
	doi = {10.1145/2629669},
	url = {http://www.framsticks.com/files/common/IdentifyingEfficientAbductiveHypotheses.pdf},
	author = {Maciej Komosinski and Adam Kups and Dorota Leszczy{\'n}ska-Jasion and Mariusz Urba{\'n}ski}
}
@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}
}
