Results 171 to 180 of about 108,415 (292)

Assessing the utility of autonomous recording units and spring point counts for monitoring abundance of ruffed grouse Bonasa umbellus

Wildlife Biology, EarlyView.
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey, William B. Lewis, Gregory T. Wann, Richard B. Chandler, Emily Rushton, James A. Martin   +5 more
wiley   +1 more source

A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games. [PDF]

Nat Commun
Su Q, Wang H, Xia Y, Wang L.
europepmc   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

To Signal or Not to Signal? A Non-cooperative Game-Theoretic Approach to Discretionary Communication Between Road Users. [PDF]

SN Comput Sci
Bitar I, Solernou Crusat A, Romano R, Watling D.   +3 more
europepmc   +1 more source

TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley   +1 more source

Picking strategies in games of cooperation. [PDF]

Proc Natl Acad Sci U S A
García J, Traulsen A.
europepmc   +1 more source

Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intrinsic motivation serves as the predominant paradigm of exploration in reinforcement learning. In pursuit of an informative and robust state representation, the behavioural metric groups behaviourally equivalent states together, which share the same single‐step reward and transition distribution.
Anjie Zhu, Yongjun Yang, Guangyi Zhao, Jie Shao   +3 more
wiley   +1 more source

Research on Joint Game-Theoretic Modeling of Network Attack and Defense Under Incomplete Information. [PDF]

Entropy (Basel)
Wang Y, Liu X, Yu X.
europepmc   +1 more source

Collective cooperative intelligence. [PDF]

Proc Natl Acad Sci U S A
Barfuss W, Flack J, Gokhale CS, Hammond L, Hilbe C, Hughes E, Leibo JZ, Lenaerts T, Leonard N, Levin S, Madhushani Sehwag U, McAvoy A, Meylahn JM, Santos FP.   +13 more
europepmc   +1 more source

Quantitative Evaluation of Mechanical Defects for Circuit Breakers Based on Self‐Adaptive Fault Feature Tracking

High Voltage, EarlyView.
ABSTRACT Many researchers are committed to improving the diagnosis accuracy and solving the few‐shot problem on circuit breakers (CBs). However, the research on the vibration transmission mechanism of the fault is insufficient, which makes it difficult to find the potential design defects of CBs through vibration.
Jiayi Gong, Yaxiong Tan, Shangding Li, Jian Li   +3 more
wiley   +1 more source