The intersection of evolutionary computation and explainable AI.

In the past decade, Explainable Artificial Intelligence (XAI) has attracted a great interest in the research community, motivated by the need for explanations in critical AI applications. Some recent advances in XAI are based on Evolutionary Computation (EC) techniques, such as Genetic Programming. We call this trend EC for XAI. We argue that the full potential of EC methods has not been fully exploited yet in XAI, and call the community for future efforts in this field. Likewise, we find that there is a growing concern in EC regarding the explanation of population-based methods, i.e., their search process and outcomes. While some attempts have been done in this direction (although, in most cases, those are not explicitly put in the context of XAI), we believe that there are still several research opportunities and open research questions that, in principle, may promote a safer and broader adoption of EC in real-world applications. We call this trend XAI within EC. In this position paper, we briefly overview the main results in the two above trends, and suggest that the EC community may play a major role in the achievement of XAI

Special issue: Selected papers from the 15th International Conference of the Italian Association for Artificial Intelligence

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Omnidirectional Vision Algorithms in Robotics

Omnidirectional vision is becoming more and more popular in those robotics applications in which an autonomous robot is required to react to visual stimuli that may come from any direction at any moment of its activity, or to plan its behaviour according to them

Omnidirectional Stereo Systems for Robot Navigation

This paper discusses how stereo vision achieved through the use of omnidirectional sensors can help mobile robot navigation providing advantages, in terms of both versatility and performance, with respect to the classical stereo system based on two horizontally-displaced traditional cameras

Fluid-Structure Interaction Analyses of Wings with Curved Planform: Preliminary Aeroelastic Results

The paper shows preliminary results of aeroelastic analyses of two half-wing models, having curved and swept planform, carried out at the Aerospace Unit of the Department of Civil and Industrial Engineering of Pisa University. For a wing with a curved planform, as demonstrated in previous papers regarding rigid models of wings, the wave drag effects are strongly reduced in the transonic flight conditions. In the paper some results obtained by using Star-CCM+® 6.04.14 and Abaqus® 6.11 in “co-simulation” are summarized: for this reason the present numerical comparison, between a curved wing and a swept wing, includes the effects of structure’s deformability (the wings have the same aspect ratio). The beneficial effects of the planform shape on drag polar curves are confirmed. Moreover the curved planform configuration improves the wing’s aeroelastic behavior: for a fixed value of CL the reaction moments and stress values at the root of the curved wing are reduced by about 5%÷8% with respect the data obtained for the swept wing at the same flight conditions. Finally, preliminary numerical analyses carried out at high angles of attack show that, as expected, the centers of pressure of the wings move forward with percentage variation of their longitudinal positions that are quite similar. These results indicate that the curved planform shape does not change in a drastic fashion the performances of a wing when the stall condition are reached

A comparison of the drag polar curves of wings using the fluid-structure interaction analyses

The paper shows preliminary results of aeroelastic analyses of two half-wing models, having curved and swept planform, carried out at the Aerospace Unit of the Department of Civil and Industrial Engineering of Pisa University. For a wing with a curved planform, as demonstrated in previous papers regarding rigid models of wings, the wave drag effects are strongly reduced in the transonic flight conditions. In the paper some results obtained by using Star-CCM+® 6.04.14 and Abaqus® 6.11 in “co-simulation” are summarized: for this reason the present numerical comparison, between a curved wing and a swept wing, includes the effects of structure’s deformability (the wings have the same aspect ratio). The beneficial effects of the planform shape on drag polar curves are confirmed (for fixed values of Lift Coefficient (CL) the reduction of Drag Coefficient (CD) reaches 7%-10%). Moreover the curved planform configuration improves the wing’s aeroelastic behavior: as an example, adopting similar wing box metallic structures for the two half-wing models, for a fixed value of CL the reaction moments and stress values at the root of the curved wing are reduced by about 5%÷8% with respect the data obtained for the swept wing at the same flight conditions

THE EFFECTS OF THE PLANFORM SHAPE ON DRAG POLAR CURVES OF WINGS: FLUID-STRUCTURE INTERACTION ANALYSES RESULTS

The paper shows preliminary results of aeroelastic analyses of two half-wing models, having curved and swept planform, carried out at the Aerospace Section of the Department of Civil and Industrial Engineering of Pisa University. The curved planform causes a variable angle of sweep along the wing span, so, as demonstrated in previous papers regarding rigid models of wings, in the transonic flight conditions wave drag effects are strongly reduced. The present numerical comparison, between curved and traditional swept wing, includes the effects of structure’s deformability (the wings have the same aspect ratio). The effects of the planform shape on drag polar curves are confirmed (for fixed values of Lift Coefficient (CL) the reduction of Drag Coefficient (CD) reaches 7%-10%). Moreover the curved planform configuration improves the wing’s aeroelastic behavior: in the paper some results obtained by using Star-CCM+® 6.04.14 and Abaqus® 6.11 in “co-simulation” are summarized. As an example, adopting similar wing box metallic structures for the two half-wing models, for a fixed value of CL the reaction moments and stress values at the root of the curved wing are reduced by about 5÷8% with respect the data obtained for the traditional swept wing at the same flight conditions

The intersection of Evolutionary Computation and Explainable AI Anonymous authors

In the past decade, Explainable Artificial Intelligence (XAI) has attracted a great interest in the research community, motivated by the need for explanations in critical AI applications. Some recent advances in XAI are based on Evolutionary Computation (EC) techniques , such as Genetic Programming. We call this trend EC for XAI. We argue that the full potential of EC methods has not been fully exploited yet in XAI, and call the community for future efforts in this field. Likewise, we find that there is a growing concern in EC as to what regards explaining population-based methods, i.e., their search process and outcomes. While some attempts have been done in this direction (although, in most cases, those are not explicitly put in the context of XAI), we believe that there are still several research opportunities and open research questions that, in principle, may promote a safer and broader adoption of EC in real-world applications. We call this trend XAI within EC. In this position paper, we briefly overview the main results in the two above trends, and suggest that the EC community may play a major role in the achievement of XAI. CCS CONCEPTS • Computing methodologies → Machine learning; • Theory of computation → Optimization with randomized search heuristics; • Human-centered computing → Human computer interaction (HCI).Output Status: Forthcomin