Emergent Storylines Based on Autonomous Characters with Mindreading Capabilities

2007 ◽  
Author(s):  
Tibor Bosse ◽  
Zulfiqar A. Memon ◽  
Jan Treur
Keyword(s):  
Autonomous Characters

scholarly journals Pedagogical Agents: Back to the Future

AI Magazine ◽  
2018 ◽  
Vol 39 (2) ◽  
pp. 33-44 ◽  
Author(s):  
W. Lewis Johnson ◽  
James C. Lester
Keyword(s):  
Learning Environments ◽  
Affective Computing ◽  
Autonomous Agents ◽  
Interactive Learning Environments ◽  
Pedagogical Agents ◽  
New Paradigm ◽  
Emerging Trends ◽  
The Future ◽  
Improved Learning ◽  
Autonomous Characters

Back in the 1990s we started work on pedagogical agents, a new user interface paradigm for interactive learning environments. Pedagogical agents are autonomous characters that inhabit learning environments and can engage with learners in rich, face-to-face interactions. Building on this work, in 2000 we, together with our colleague, Jeff Rickel, published an article on pedagogical agents that surveyed this new paradigm and discussed its potential. We made the case that pedagogical agents that interact with learners in natural, life-like ways can help learning environments achieve improved learning outcomes. This article has been widely cited, and was a winner of the 2017 IFAAMAS Award for Influential Papers in Autonomous Agents and Multiagent Systems (IFAAMAS, 2017). On the occasion of receiving the IFAAMAS award, and after twenty years of work on pedagogical agents, we decided to take another look at the future of the field. We’ll start by revisiting our predictions for pedagogical agents back in 2000, and examine which of those predictions panned out. Then, informed what we have learned since then, we will take another look at emerging trends and the future of pedagogical agents. Advances in natural language dialogue, affective computing, machine learning, virtual environments, and robotics are making possible even more lifelike and effective pedagogical agents, with potentially profound effects on the way people learn.

scholarly journals Chimeric tomato plants show that aphid resistance and triacylglucose production are epidermal autonomous characters.

1990 ◽  
Vol 2 (7) ◽  
pp. 643-649 ◽  
Author(s):  
J C Goffreda ◽  
E J Szymkowiak ◽  
I M Sussex ◽  
M A Mutschler
Keyword(s):  
Aphid Resistance ◽  
Tomato Plants ◽  
Autonomous Characters

BehaveRT: A GPU-Based Library for Autonomous Characters

2010 ◽  
pp. 194-205 ◽  
Author(s):  
Ugo Erra ◽  
Bernardino Frola ◽  
Vittorio Scarano
Keyword(s):  
Autonomous Characters

Fast multi-level adaptation for interactive autonomous characters

2005 ◽  
Vol 24 (2) ◽  
pp. 262-288 ◽  
Author(s):  
Jonathan Dinerstein ◽  
Parris K. Egbert
Keyword(s):  
Multi Level ◽  
Autonomous Characters

The Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE): A Report

AI Magazine ◽  
2014 ◽  
Vol 35 (2) ◽  
pp. 61-64
Author(s):  
Gita Sukthankar ◽  
Ian Horswill
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Game Design ◽  
Interactive Narrative ◽  
Procedural Content Generation ◽  
Digital Entertainment ◽  
Interactive Entertainment ◽  
Game Developers ◽  
Autonomous Characters ◽  
Content Generation

The Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE) was held October 14–18, 2013, at Northeastern University in Boston, Massachusetts. The mission of the AIIDE conference is to provide a forum for researchers and game developers to discuss ways that AI can enhance games and other forms of interactive entertainment. In addition to presentations on adapting standard AI techniques such as search, planning and machine learning for use within games, key topic areas include creating realistic autonomous characters, interactive narrative, procedural content generation, and integrating AI into game design and production tools.

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