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Journal ArticleDOI

Goal-based personalities and social behaviors in believable agents

Paola Rizzo, +3 more
- 01 Apr 1999 - 
- Vol. 13, Iss: 3, pp 239-271
TLDR
The article describes how such a model of personality is implemented in planning with the PRODIGY system and in execution with the RAP system, where behaviors characteristic ofdifferent "helping personality types" are automatically designed and executed in a virtual world.
Abstract
Agents are considered "believable" when viewed by an audience as endowed with behaviors, attitudes, and emotions typical of different personalities. Our work is aimed at realizing believable agents that perform helping behaviors influenced by their personalities, which we represent as different clusters of prioritized goals and preferences over plans for achieving goals. The article describes how such a model of personality is implemented in planning with the PRODIGY system and in execution with the RAP system. Both systems are integrated in a plan-based architecture where behaviors characteristic ofdifferent "helping personality types" are automatically designed and executed in a virtual world. The article also shows examples of the kinds of plan produced by PRODIGY for different personalities and contexts and how such plans are executed by RAP when a helping character interacts with a user in a virtual world.

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Citations
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Journal ArticleDOI

Narrative planning: balancing plot and character

TL;DR: A novel refinement search planning algorithm - the Intent-based Partial Order Causal Link (IPOCL) planner - is described that, in addition to creating causally sound plot progression, reasons about character intentionality by identifying possible character goals that explain their actions and creating plan structures that explain why those characters commit to their goals.
Proceedings ArticleDOI

An Intent-Driven Planner for Multi-Agent Story Generation

TL;DR: This work presents a narrative generation planning system for multi-agent stories that is capable of generating narratives with both strong plot coherence and strong character believability.

An architecture for adaptive intelligent systems

TL;DR: An agent architecture is designed and implemented that supports all of these different kinds of adaptation by exploiting a single underlying theoretical concept: An agent dynamically constructs explicit control plans to guide its choices among situation-triggered behaviors.

Narrative generation: balancing plot and character

TL;DR: In this paper, the authors explore the use of search-based planning as a technique for generating stories that demonstrate both strong plot coherence and strong character believability, which play a role in the success of a narrative in terms of the ability of the narrative's audience to comprehend its structure.

Planning formalisms and authoring in interactive storytelling

TL;DR: This paper compares two different planning formalisms in Interactive Storytelling, Hierarchical Task Network (HTN) planning and Heuristic Search Planning (HSP), and finds that HSP offer additional flexibility and the generation of stories and the mechanisms for generating comic situations.
References
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Book

Scripts, plans, goals and understanding: an inquiry into human knowledge structures

TL;DR: Schank and Abelson as mentioned in this paper analyzed the conceptual apparatus necessary to perform even a partial feat of understanding, and their analysis of this apparatus is what is what this book is about.
Book

Computers as Theatre

Brenda Laurel
TL;DR: This book presents a new theory of human-computer activity that is genuinely transforming and takes the reader through virtual reality and beyond to a new level of human computer interaction that is truly transforming.
Journal ArticleDOI

The role of emotion in believable agents

TL;DR: The idea of believability has long been studied and explored in literatttre, theater, film, radio drama, and other media and traditional character animators are among those artists who have sought to create believable characters.
Book

Motivating Humans: Goals, Emotions, and Personal Agency Beliefs

TL;DR: Motivational Systems Theory as discussed by the authors The Living Systems Framework Defining Motivation and Its Role in Effective Human Functioning Personal Goals Directing and Organizing Behavior through Cognitive Representations of Desired and Undesired Outcomes Personal Agency Beliefs and Emotional Arousal Processes Regulating Behavior through the Integration of Cognition and Affect Integration of Historical and Contemporary Theories of Motivation Goals, Emotions, and Personal Agency beliefs How to 'Motivate' People General Principles and Specific Applications to Enduring Problems in Child and Adolescent Development, Education, Business,