In contrast conventional brute-force techniques for validation and verification, new procedures for building safe and trusted autonomous systems will also have to be developed, especially to account for their ability to learn, adapt, and possibly explain their behavior in
nondeterministic settings.
Concrete dams are exposed to influences of various
nondeterministic settings such as the load effect of water level, uplift pressure, and wind waves caused by hydrologic and hydraulic uncertainties, as well as geological and material uncertainties such as shearing and compressive strength.
Law 10 transforms a
nondeterministic alternative process into a deterministic process.
Princeton psychologist Philip Johnson-Laird includes constraint as one of the five determining factors in his NONCE definition of creativity (Novel to the individual, Optionally novel for society,
Nondeterministic, Constrained, created of Existing elements).
Test and certification techniques that are appropriate for autonomous systems may be dramatically different from those used for manned platforms: The projected exponential growth in Software Lines of Code (SLOC) and the
nondeterministic nature of many algorithms will lead to prohibitive costs to test exhaustively.
No No No Heisenberg Quantum Birkhoff No Agnostic No Logic Stochastic Nelson No No No Consistent Griffiths No No No Histories Relational Rovelli No No No Otitic-
Nondeterministic c/ Dualistic ontology von Neumann von No Yes No Neumann Objective GRW No Yes No Collapse Objective Penrose No Yes No Collapse Transactional Cramer No Yes No Monistic Fhysicalisms 1) Ontic- Hidden Variables Deterministic Hidden Bohm/ Yes No Yes Variables deBroglie Time de Yes No No Symmetric Beauregard 2) Ontic-Hyper- Determinism Many Worlds Everett Yes Yes No Many Minds Zeh Yes Yes No Collapsing Observer Locality Wave Role Fen Epistemic/ Monistic Idealism Copenhagen Bohr.
Advances in Automated Valuation Modeling is organized into five interrelated themes or parts: AVMs, mortgage crises, and valuation in person; mortgage crises and experiences in AVMs; AVM methodological challenges dealing with spatial issues; AVM methodological challenges and
nondeterministic modeling; and AVM methodological challenges with inputs and models.
Particle Swarm Optimization (PSO) algorithm is a swarm-intelligence-based to estimate on
nondeterministic.
Complex systems are
nondeterministic, adaptive, holistic, and have nonlinear interfaces between attributes.
As the ranges of these two errors, say D and M, are
nondeterministic and quite different, it is difficult for engineers to interpret how good or how bad a CAE model is based on these raw error data.
This algorithm has an exponential worst case complexity but performs well in empirical experiments [1], and it works with
nondeterministic automata, too.
In this paper, with the aim of solving the problems mentioned above that exist in some current methods, an efficient complex event processing method based on INFA-HTS (Improved
Nondeterministic Finite Automaton-Hash Table Structure) is presented.
