Controlled biped balanced locomotion and climbing. (2016)
Book Chapter
Kenwright, B. (2016). Controlled biped balanced locomotion and climbing. In D. Zhang, & B. Wei (Eds.), Dynamic Balancing of Mechanisms and Synthesizing of Parallel Robots (447-456). Springer. https://doi.org/10.1007/978-3-319-17683-3_17

This chapter describes the control principles necessary for an articulated biped model to accomplish balanced locomotion during walking and climbing. we explain the synthesizes mechanism for coordinated control of lower body joints (i.e. ankle, hip a... Read More about Controlled biped balanced locomotion and climbing..

How to Talk to Strangers: generating medical reports for first time users (2016)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., & Lemon, O. (2016, July). How to Talk to Strangers: generating medical reports for first time users. Presented at FUZZ-IEEE 2016

We propose a novel approach for handling first-time
users in the context of automatic report generation from timeseries
data in the health domain. Handling first-time users is
a common problem for Natural Language Generation (NLG)
and interactive... Read More about How to Talk to Strangers: generating medical reports for first time users.

The institutional approach for modeling the evolution of human societies (2016)
Presentation / Conference Contribution
Powers, S. (2016, July). The institutional approach for modeling the evolution of human societies. Presented at Artificial Life 2016

Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any human society is its institutions. However, defining exactly what an institution is has proven difficult, with authors often talking past each... Read More about The institutional approach for modeling the evolution of human societies.

Large-scale Argument Visualization (LSAV) (2016)
Presentation / Conference Contribution
Khartabil, D., Wells, S., & Kennedy, J. (2016, June). Large-scale Argument Visualization (LSAV). Presented at 18th EG/VGTC Conference on Visualization

Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument structures can become large and complex. Visualization tools have been dev... Read More about Large-scale Argument Visualization (LSAV).

Explanation-based learning with analogy for impasse resolution (2016)
Journal Article
Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016). Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL’s domain theory. This enables the generation of control laws, v... Read More about Explanation-based learning with analogy for impasse resolution.

Demo paper: AGADE - Scalability of ontology based agent simulations (2016)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016, June). Demo paper: AGADE - Scalability of ontology based agent simulations. Presented at 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, Sevilla, Spain

Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitations both in the aspect of
memory and computing power are reached. Even... Read More about Demo paper: AGADE - Scalability of ontology based agent simulations.

A hyper-heuristic ensemble method for static job-shop scheduling. (2016)
Journal Article
Hart, E., & Sim, K. (2016). A hyper-heuristic ensemble method for static job-shop scheduling. Evolutionary Computation, 24(4), 609-635. https://doi.org/10.1162/EVCO_a_00183

We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance... Read More about A hyper-heuristic ensemble method for static job-shop scheduling..