30,836 research outputs found
Building machines that learn and think about morality
Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also discuss how work in embodied and situated cognition could provide a valu- able perspective on future research
Applying a Life-Cycle Costs Approach to Water
This working paper presents findings and recommendations from the application of a life-cycle costs approach (LCCA) to water supply services in rural communities and small towns1 in four countries -- Andhra Pradesh (India), Burkina Faso, Ghana and Mozambique
Low Complexity Coefficient Selection Algorithms for Compute-and-Forward
Compute-and-Forward (C&F) has been proposed as an efficient strategy to
reduce the backhaul load for the distributed antenna systems. Finding the
optimal coefficients in C&F has commonly been treated as a shortest vector
problem (SVP), which is N-P hard. The point of our work and of Sahraei's recent
work is that the C&F coefficient problem can be much simpler. Due to the
special structure of C&F, some low polynomial complexity optimal algorithms
have recently been developed. However these methods can be applied to real
valued channels and integer based lattices only. In this paper, we consider the
complex valued channel with complex integer based lattices. For the first time,
we propose a low polynomial complexity algorithm to find the optimal solution
for the complex scenario. Then we propose a simple linear search algorithm
which is conceptually suboptimal, however numerical results show that the
performance degradation is negligible compared to the optimal method. Both
algorithms are suitable for lattices over any algebraic integers, and
significantly outperform the lattice reduction algorithm. The complexity of
both algorithms are investigated both theoretically and numerically. The
results show that our proposed algorithms achieve better performance-complexity
trade-offs compared to the existing algorithms.Comment: 10 pages, 10 figure
QUASI FROBENIUS LIE ALGEBRAS CONSTRUCTION OF N=4 SUPERCONFORMAL FIELD THEORIES
Manin triple construction of N=4 superconformal field theories is considered.
The correspondence between quasi Frobenius finite-dimensional Lie algebras and
N=4 superconformal field theories is established.Comment: 20 pages, PLAINTE
- …
