Action network: a probabilistic graphical model for social simulation

Zakaria, Nordin

doi:10.1177/00375497211038759

Cited by 4 publications

(2 citation statements)

References 60 publications

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Section: Related Workmentioning

confidence: 99%

“…On the simulation platform side, software frameworks such as VR-Forces, Virtual Battle Space (VBS), Calytrix, MASA Sword and others support the declaration and development of highly realistic domain-specific object behavior and interactions (viable technologies for emulating such behavior include agent-based models, 41 multi-agent systems, 42 and probabilistic action networks 43 ). Although there is support in these frameworks for scripting sequences of events, and even for expressing such scripts in terms of high-level and low-level operational commands, 44 there is no inherent notion of causality and means-end relationships.…”

Section: Related Workmentioning

confidence: 99%

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A logic-based event controller for means-end reasoning in simulation environments

2023

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Simulation games are designed to cultivate expertise and rehearse particular skill sets. To yield longitudinal effects, sequences of events must be crafted to yield intended learning outcomes, sometimes by focusing on particularly difficult situations and replaying variants. The present paper develops a logic-based approach for encoding the interrelation between action, events, and objects in a manner that allows the resulting scenario description to immediately be executed in a game development environment. This has the dual effect of decoupling the description of a scenario from the simulation platform itself, as well as supporting iterative and flexible development of learning content. To this end, we provide three interrelated components: First, we develop a scenario description language based on Answer Set Programming. The language is designed to allow an automated reasoner to deduce a schedule of the future events that are caused by an action taken in a given simulation environment. Second, we define a protocol for exchanging actions and computed futures between, respectively, the simulation environment and the external automated reasoner. Finally, as a proof of concept, we develop an Application Programming Interface (API) for the Unity Real-Time Development Platform that implements the protocol and offers a software framework for connecting the computed future events to concrete game objects. This allows the game to evolve coherently from the specification. We argue that the resulting system inherits capabilities for artificial commonsense reasoning from its declarative basis which are useful for reasoning about an evolving emergency incident or training scenario.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A logic-based event controller for means-end reasoning in simulation environments

2023

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A Comparative Analysis of Social Network Epidemic Models

Christina,

Aishwarya L,

Abirami

2024

2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

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The application of applied category theory to quantify mission success

et al. 2022

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Mission engineering is the quantification of the effects applied by a system of systems to achieve measurable desired results. The execution of the mission is defined by a mission thread; that is the sequence of actions/processes executed by elemental systems. The domain of complex missions has been described as “wicked” because traditional military and space program-based systems engineering practices fail due to a lack of discrete phases, a dependence on context, and the non-uniqueness of a “good-enough” mission thread. Wicked problems also tend to be unstructured (non-hierarchical) with no centralized control and do not lend themselves to linear step-by-step processes. Wicked problems are inherently uncertain leading to the broader issue of trust across a mission knowledge base, and any mission level analyses. Wicked problems are also characterized and challenged by combinatoric complexity. Mission success is primarily driven by the interrelationships between systems and not just by the individual systems themselves. The success of mission engineering will require an iterative approach of modeling, simulation, and analysis resulting in a continuous reduction in uncertainty and refinement in the topology of the mission thread. OODA-based decomposition of mission threads focused on Boyd’s Orient function provides focus on system interrelationships. Trust provides decision-maker confidence in the results that has proved elusive to traditional validation approaches. The approach described in this paper is based upon using applied category theory as a basis for building mission threads, mission models, data stores, and integrating simulation ensembles.

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Action network: a probabilistic graphical model for social simulation

Cited by 4 publications

References 60 publications

A logic-based event controller for means-end reasoning in simulation environments

A logic-based event controller for means-end reasoning in simulation environments

A Comparative Analysis of Social Network Epidemic Models

The application of applied category theory to quantify mission success

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