Emotion Modeling in Social Simulation: A Survey
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Title: Emotion Modeling in Social Simulation: A Survey

Section 1: Introduction
Description 1: Introduce the problem of defining realistic models in multi-agent simulations and the importance of emotions in creating believable human-like behaviors.

Section 2: Motivations for Using Emotions in Multi-Agent Simulations
Description 2: Discuss various motivations for integrating emotions in multi-agent simulations, including changing agents' behavior and studying group dynamics.

Section 3: Existing Emotional Theories
Description 3: Explain psychological theories of emotions and their applicability in artificial intelligence and multi-agent simulations.

Section 4: How Emotions Are Represented in Multi-Agent Simulations
Description 4: Review different models used to represent emotions in agent-based simulations, from simple numerical values to more complex symbolic representations.

Section 5: How Emotions Are Used in Multi-Agent Simulations
Description 5: Analyze different processes for integrating emotions into agent behavior, including reactive creation, fuzzy appraisal, and emotion dynamics.

Section 6: Architectures for Emotional Agents
Description 6: Present various existing emotional architectures designed to add emotions to social simulations, detailing their use and limitations.

Section 7: Discussion
Description 7: Discuss the current state of emotion modeling in social simulations, current limitations, and suggestions for future work to democratize the use of emotional models.

Section 8: Conclusion
Description 8: Summarize the review, emphasizing the importance of developing accessible emotional architectures to improve the realism and credibility of multi-agent simulations in social sciences.