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The problem of environmental monitoring using a wireless network of chemical sensors with a limited energy supply is considered. Since the conventional chemical sensors in active mode consume vast amounts of energy, an optimisation problem arises in the context of a balance between the energy consumption and the detection capabilities of such a network. In recent years, there has been significant concern about the impacts of offshore oil spill plumes and harmful algal blooms on the coastal ocean environment and biology as well as on the human populations adjacent to these coastal regions. [...]it has become increasingly important to determine the 3D extent of these ocean features (\"plumes\") and how they evolve over time.

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2017 Spring Symposium Series, held Monday through Wednesday, March 27–29, 2017, on the campus of Stanford University. The eight symposia held were Artificial Intelligence for the Social Good (SS‐17‐01); Computational Construction Grammar and Natural Language Understanding (SS‐17‐02); Computational Context: Why It's Important, What It Means, and Can It Be Computed? (SS‐17‐03); Designing the User Experience of Machine‐Learning Systems (SS‐17‐04); Interactive Multisensory Object Perception for Embodied Agents (SS‐17‐05); Learning from Ob servation of Humans (SS‐17‐06); Science of Intelligence: Computational Principles of Natural and Artificial Intelligence (SS‐17‐07); and Well‐Being AI: From Machine Learning to Subjectivity‐Oriented Computing (SS‐17‐08). This report, compiled from organizers of the symposia, summarizes the research that took place.

The Association for the Advancement of Artificial Intelligence was pleased to present the AAAI 2014 Spring Symposium Series, held Monday through Wednesday, March 24– 26, 2014. The titles of the eight symposia were Applied Computational Game Theory, Big Data Becomes Personal: Knowledge into Meaning, Formal Verification and Modeling in Human‐Machine Systems, Implementing Selves with Safe Motivational Systems and Self‐Improvement, The Intersection of Robust Intelligence and Trust in Autonomous Systems, Knowledge Representation and Reasoning in Robotics, Qualitative Representations for Robots, and Social Hacking and Cognitive Security on the Internet and New Media). This report contains summaries of the symposia, written, in most cases, by the cochairs of the symposium.

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.