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ACAL
2015
Springer
8 years 6 months ago
Formalising Believability and Building Believable Virtual Agents
Believability is an important characteristic of intelligent virtual agents, however, very few attempts have been made to define and formalise it. This paper provides a formal anal...
Anton Bogdanovych, Tomas Trescak, Simeon J. Simoff
ACAL
2015
Springer
8 years 6 months ago
ALife Using Adaptive, Autonomous, and Individual Agent Control
Abstract. This is a review of three, agent control algorithm, replication experiments. In the 1948 essay, Intelligent Machinery, the English mathematician Alan Turing described an ...
Ovi Chris Rouly
ACAL
2015
Springer
8 years 7 months ago
Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval
Content-based image retrieval (CBIR) has been applied to a variety of medical applications, e.g., pathology research and clinical decision support, and bag-of-features (BOF) model ...
Fan Zhang, Yang Song, Tom Weidong Cai, Alexander G...
ACAL
2015
Springer
8 years 7 months ago
Generic Construction of Scale-Invariantly Coarse Grained Memory
Abstract. Encoding temporal information from the recent past as spatially distributed activations is essential in order for the entire recent past to be simultaneously accessible. ...
Karthik H. Shankar
ACAL
2015
Springer
8 years 7 months ago
A Genetic Algorithm Solver for Pest Management Control in Island Systems
Optimising the management of national parks and reserves is a truly multidisciplinary issue. This problem requires considerable knowledge of the characteristics of the ecosystems a...
Jana Brotankova, Marcus Randall, Andrew Lewis, Bob...
ACAL
2015
Springer
8 years 7 months ago
Learning Options for an MDP from Demonstrations
Abstract. The options framework provides a foundation to use hierarchical actions in reinforcement learning. An agent using options, along with primitive actions, at any point in t...
Marco Tamassia, Fabio Zambetta, William L. Raffe, ...
ACAL
2015
Springer
8 years 7 months ago
Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis
Abstract. Feature learning with high dimensional neuroimaging features has been explored for the applications on neurodegenerative diseases. Low-dimensional biomarkers, such as men...
Siqi Liu, Sidong Liu, Tom Weidong Cai, Sonia Pujol...