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The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21–23, 2016, at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics, and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human‐Robot Interaction: A Community‐Driven Modular Research Platform; (4) Ethical and Moral Considerations in Nonhuman Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human‐Generated Content, and (7) Well‐Being Computing: AI Meets Health and Happiness Science.

The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia, adjacent to Washington, DC. The titles of the seven symposia were Artificial Intelligence for Human‐Robot Interaction; Energy Market Prediction; Expanding the Boundaries of Health Informatics Using AI; Knowledge, Skill, and Behavior Transfer in Autonomous Robots; Modeling Changing Perspectives: Reconceptualizing Sensorimotor Experiences; Natural Language Access to Big Data; and The Nature of Humans and Machines: A Multidisciplinary Discourse. The highlights of each symposium are presented in this report.

The Association for the Advancement of Artificial Intelligence was pleased to present the AAAI 2013 Spring Symposium Series, held Monday through Wednesday, March 25–27, 2013. The titles of the eight symposia were Analyzing Microtext; Creativity and (Early) Cognitive Development; Data‐Driven Wellness: From Self‐Tracking to Behavior Change; Designing Intelligent Robots: Reintegrating AI II; Lifelong Machine Learning; Shikakeology: Designing Triggers for Behavior Change; Trust and Autonomous Systems; and Weakly Supervised Learning from Multimedia. This report contains summaries of the symposia, written, in most cases, by the cochairs of the symposium.

We address the issue of the normativity of representation and how Grush might address it for emulations as constituting representations. We then proceed to several more detailed issues concerning the learning of emulations, a possible empirical counterexample to Grush's model, and the choice of Kalman filters as the form of model-based control.

Human attention is a complex phenomenon (or a set of related phenomena) that occurs at different levels of cognition (from low-level perceptual processes to higher perceptual and cognitive processes). Since the dawn of modern psychology through cognitive sciences to fields like Human–Computer Interaction (HCI), attention has been one of the most controversial research topics. Attempts to model attentional processes often show their authors' implicit construal of related cognitive phenomena and even their overall meta-theoretical stands about what cognition is. Moreover, the modelling of attention cannot be done in isolation from related cognitive phenomena like curiosity, motivation, anticipation and awareness, to mention but a few. For these reasons we believe that attention models are best presented within a complete cognitive architecture where most authors' assumptions will be made explicit.In this chapter we first present several attempts to model attention within a complete cognitive architecture. Several known cognitive architectures (ACT-R, Fluid Concepts, LIDA, DUAL, Novamente AGI and MAMID) are reviewed from the point of view of their treatment of attentional processes. Before presenting our own take on attention modelling, we briefly present the meta-theoretical approach of interactivism as advocated by Mark Bickhard.We then give a description of a cognitive architecture that we have been developing in the last ten years. We present some of the cognitive phenomena that we have modelled (expectations, routine behaviour, planning, curiosity and motivation) and what parts of the architecture can be seen as involved in the attentional processes.

The East Balkan pig (EBP) is a traditional domestic pig breed in Bulgaria managed in semi-wild conditions and well-adapted to the continental climate and rearing on pastures. From the genetical and historical point of view it is important to preserve this ancient breed. However, over the last several years, a dramatic decline of EBP herds has been observed. Moreover, introgression between EBP and wild boar in Bulgaria (WBB) is very likely to have occurred. In this study we used a set of 10 microsatellites and the polymerase chain reaction–restriction fragment length polymorphism method on melanocortin-1 receptor (MC1R) polymorphisms to study the degree of hybridisation between WBB, EBP, and a commercial pig breed (CPB). MC1R results identified WBB-EBP hybrids and the analysis of the microsatellite data with a Bayesian assignment approach and the Discriminant Analysis of Principal Components revealed a low genetic differentiation between WBB and EBP and a high amount of introgression of WBB into EBP. A mentionable introgression of CPB into EBP was also revealed. It is apparent that the traditional rearing system of EBP, which is hundreds of years old, has led to a permanent hybridisation between WBB and EBP. In our opinion, the preservation of the semi-wild rearing system is a prerequisite for the conservation of this old, indigenous pig breed and its genetic composition, as the semi-wild rearing system allows the continuous introgression with WBB. Moreover, the introgression of commercial breeds into EBP or WBB should be prevented. Due to the bidirectional gene flow these hybridisation events would have negative consequences (i.e. loss of viability and adaptation) for the wild boars as well as for the indigenous pig breed.