ACMICS: an agent communication model for interacting crowd simulation

Kullu, Kurtulus; Güdükbay, Uğur; Manocha, Dinesh

doi:10.1007/s10458-017-9366-8

Cited by 19 publications

(10 citation statements)

References 34 publications

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“…In multi-agent environments, considering communication between agents will lead to designing multi-agent methods. The communication channel is often limited, leading to methods that try to optimize the communication including message structure [19,20]. However, in some environments, there is no explicit communication channel between agents.…”

Section: Related Workmentioning

confidence: 99%

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Kargar¹,

Kyrki²

2021

Preprint

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This work considers the problem of learning cooperative policies in multiagent settings with partially observable and non-stationary environments without a communication channel. We focus on improving information sharing between agents and propose a new multi-agent actor-critic method called Multi-Agent Cooperative Recurrent Proximal Policy Optimization (MACRPO). We propose two novel ways of integrating information across agents and time in MACRPO: First, we use a recurrent layer in critic's network architecture and propose a new framework to use a metatrajectory to train the recurrent layer. This allows the network to learn the cooperation and dynamics of interactions between agents, and also handle partial observability. Second, we propose a new advantage function that incorporates other agents' rewards and value functions. We evaluate our algorithm on three challenging multi-agent environments with continuous and discrete action spaces, Deepdrive-Zero, Multi-Walker, and Particle environment. We compare the results with several ablations and state-ofthe-art multi-agent algorithms such as QMIX and MADDPG and also single-agent methods with shared parameters between agents such as IMPALA and APEX. The results show superior performance against other algorithms. The code is available online at https://github.com/kargarisaac/macrpo.

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Section: Related Workmentioning

confidence: 99%

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Kargar¹,

Kyrki²

2021

Preprint

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“…Speech act-based communication has been used to enable the agent to communicate arguments between agents, to share its internal state with other agents, and to influence other agents' states. In a more recent study [28], an approach (named an Agent Communication Model for Interacting Crowd Simulation: ACMICS) was presented to simulate the communication between agents in a crown simulation system. This approach used a message structure based on an ACL that depends on SAT.…”

Section: Speech Act Theory and Agent Communicationmentioning

confidence: 99%

Speech Act Theory as an Evaluation Tool for Human–Agent Communication

Hanna

Richards

2019

Algorithms

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Effective communication in task-oriented situations requires high-level interactions. For human–agent collaboration, tasks need to be coordinated in a way that ensures mutual understanding. Speech Act Theory (SAT) aims to understand how utterances can be used to achieve actions. SAT consists of three components: locutionary act, illocutionary act, and perlocutionary act. This paper evaluates the agent’s verbal communication while collaborating with humans. SAT was used to anatomize the structure of the agent’s speech acts (locutionary acts), the agent’s intention behind the speech acts (illocutionary acts), and the effects on the human’s mental state (perlocutionary acts). Moreover, this paper studies the impact of human perceptions of the agent’s speech acts on the perception of collaborative performance with the agent.

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“…During the evacuation, agents will communicate with each other. Kullu et al presented an approach to simulate the communication between the agents . Galea proposed a general approach to validate evacuation models …”

Section: Related Workmentioning

confidence: 99%

A perception‐based emotion contagion model in crowd emergent evacuation simulation

Liu

et al. 2018

Computer Animation & Virtual

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With the increasing number of emergencies, the crowd simulation technology has attracted wide attention in the recent years. Existing emergencies have shown that individuals are easy to be influenced by others' emotion during the evacuation. This will make it easier for people to aggregate together and increase security risks. Some of the existing evacuation models without considering emotion are therefore not suitable for describing crowd behaviors in emergencies. We propose a perception-based emotion contagion model and use multiagent technology to simulate crowd behaviors. Navigation points are introduced to guide the movement of the agents. Based on the proposed model, a prototype simulation system for crowd emotion contagion is developed. The comparative simulation experiments verify that the model can effectively deduct the evacuation time and crowd emotion contagion. The proposed model could be an assistant analysis method for crowd management in emergencies.Public places have been more crowded with the progress of global urbanization. Meanwhile, public safety and crisis management are facing unprecedented challenges with the increasing number of emergencies. In emergencies, overcrowded places become dangerous and would result in a large number of casualties. It has important and practical significance to simulate crowd behaviors in emergencies.After analyzing real incidents of emergencies, we find that existing emergency plans always have problems to cope with changeable emergencies. In emergencies, people easily generate negative emotions and will spread their panic to others. The panic emotion will lead to irrational behaviors. Exploring the law of crowd evacuation behaviors will help us develop a scientific crowd management plan and reduce the emergent evacuation risk. However, it is not suitable to observe crowd behaviors from evacuation drills, as those drills will be constrained by space, cost, or time and cannot be Comput Anim Virtual Worlds. 2018;29:e1817.wileyonlinelibrary.com/journal/cav

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ACMICS: an agent communication model for interacting crowd simulation

Cited by 19 publications

References 34 publications

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Speech Act Theory as an Evaluation Tool for Human–Agent Communication

A perception‐based emotion contagion model in crowd emergent evacuation simulation

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