Automated Negotiation Based on Sparse Pseudo-Input Gaussian Processes (abstract)

This paper deals with a prominent type of complex negotiations. We propose a novel negotiation strategy called Dragon which employs sparse pseudo-input Gaussian processes (SPGPs) to model efficiently the behavior of the negotiating opponents. The experimental results provided in this paper show that Dragon outperforms the state-of-the-art negotiation agents from the 2012 and 2011 Automated Negotiating Agents Competition (ANAC) in a variety of scenarios

Toward Soft Heterogeneity in Robotic Swarms (demonstration)

Diversity and inequality are essences of our real world. Ant colonies are comprised of hundreds of individuals, with no two of them being exactly identical. A flock of birds contains individuals with slight variations in size, speed and vision. Looking at human societies such diversity can be seen among individuals differing in body shape and in physical and cognitive abilities. The concept of softly heterogeneous robotic swarms uses the notion of heterogeneity in nature, and introduces a swarm of robots which all have the same goals, but have minor differences in their capabilities. This term is in contrast to the hard heterogeneity of swarms in which robots are of strictly different types and have strictly different goals and capabilities

Ultra-compact silicon photonic integrated interferometer for swept-source optical coherence tomography

We demonstrate an ultra-compact silicon integrated photonic interferometer for swept-source optical coherence tomography (SS-OCT). The footprint of the integrated interferometer is only 0.75×5??mm2. The design consists of three 2×2 splitters, a 13 cm physical length (50.4 cm optical length) reference arm, and grating couplers. The photonic integrated circuit was used as the interferometer of an SS-OCT system. The sensitivity of the system was measured to be ?62??dB with 115 ?W power delivered to the sample. Using the system, we demonstrate cross-sectional OCT imaging of a layered tissue phantom. We also discuss potential improvements in passive silicon photonic integrated circuit design and integration with active components.ImPhys/Imaging PhysicsApplied Science

Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines (abstract)

Existing reinforcement learning approaches are often hampered by learning tabula rasa. Transfer for reinforcement learning tackles this problem by enabling the reuse of previously learned results, but may require an inter-task mapping to encode how the previously learned task and the new task are related. This paper presents an autonomous framework for learning inter-task mappings based on an adaptation of restricted Boltzmann machines. Both a full model and a computationally efficient factored model are introduced and shown to be effective in multiple transfer learning scenarios

Cocrystallization of ultramicro quantities of elements with 2-mercaptobenzimidazole : determination of gold in sea water /

"11 May 1962."Includes bibliographical references (pages 11-12).Mode of access: Internet