This is an important paper that utilises Artificial Life techniques to endow agents in virtual worlds with the power of predicting sequences of discrete events. This facilitates enhanced levels of autonomous behaviour and adds to the illusion of sentience. The paper introduces the problem and sets its context within digital entertainment/ games. Theoretical foundations are discussed and evidence of emergent behaviour patterns is presented as experimental results and screen shots. Links are also provided to functional web-based demonstrations.
|Title of host publication||ECAL 2013: 12th European Conference on the Synthesis and Simulation of Living Systems|
|Place of Publication||Cambridge, MA, USA|
|Number of pages||7|
|Publication status||Published - 2 Sep 2013|
|Event||ECAL 2013: 12th European Conference on the Synthesis and Simulation of Living Systems - Taormina, Italy, 2-6 September, 2013|
Duration: 2 Sep 2013 → …
|Conference||ECAL 2013: 12th European Conference on the Synthesis and Simulation of Living Systems|
|Period||2/09/13 → …|
Bibliographical note© 2013 The Authors. This work is distributed under the Creative Commons Attribution 3.0 License.
Rosenkind, M., Arnold, D., & Winstanley, G. (2013). A temporal pattern predictor for virtual characters. In ECAL 2013: 12th European Conference on the Synthesis and Simulation of Living Systems (pp. 79-85). MIT Press. http://mitpress.mit.edu/sites/default/files/titles/free_download/9780262317092_Advances_Artificial_Life_ECAL_2013.pdf