HAC: A Unified View of Reactive and Deliberative Activity

Atkin, Marc S.; Westbrook, David; Cohen, Paul R.

doi:10.1007/3-540-44568-4_6

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…The previous models, like HAC [4], CM [5], and TTB [7] focus on modelling of tactics without consideration of unit components' composability. On the other hand, the previous role-based models, such as CMAS [6] and AGR [8], can specify the tactics of units as interaction between roles that they play but do not clearly provide the method to separate units from the roles that the units can play.…”

Section: Role-based Command Hierarchymentioning

confidence: 99%

“…In the previous work related to tactical model, researchers have proposed several models, such as hierarchical agent control (HAC) [4], commander model (CB) [5], command-based multi-agent system (CMAS) [6], tactical team behaviour (TTB) [7], agent-group-role (AGR) [8], and so forth. Each model is helpful to represent the tactics of aggregate units and to enable the units to perform the tactics.…”

Section: Introductionmentioning

confidence: 99%

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Role-Based Command Hierarchy Model for Warfare Simulation

Kim¹,

Lee²

2013

Int. j. simul. model.

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In warfare modelling and simulation (M&S), the mission assigned to an aggregate unit, such as platoon, company, battalion, etc., is achieved by the military operations that the unit's subordinates perform. In this procedure, the tactics for achieving the mission play an essential role for the aggregate unit to translate the abstract mission statement into concrete military operations to be performed by its subordinates in consideration of the dynamically changed warfare situation. However, the practical component-based warfare M&S software does not provide a model to explicitly represent such tactics. In this paper, we define ROle-based Command Hierarchy (ROCH) model for users to formally represent the tactics of units at design time and develop ROCH framework to support that an aggregate unit dynamically assigns roles to its subordinates considering their situation at runtime. Then, we discuss the benefits of our approach from the perspectives of composability, reusability, adaptability, and scalability.

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Section: Role-based Command Hierarchymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Role-Based Command Hierarchy Model for Warfare Simulation

Kim¹,

Lee²

2013

Int. j. simul. model.

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“…Therefore, languages are developed to implement these high-level considerations (Pembeci & Hager, 2001;Zielinski, 2000). Different approaches have appeared through functional (Armstrong, 1997;Atkin et al, 1999;King, 2002), deliberative or declarative (Dastani & van der Torre, 2003;Benjamin et al, 2004;Peterson et al, 1999), synchronous characteristics (Pembeci & Hager, 2001). Nonetheless, the difficulties of robot programming can by schematically summarized by two main characteristics: -One is that programming a set of elementary actions (primitives) on a robot often leads to (if not always) a program including many processes running in parallel with realtime constraints and local synchronizations.…”

Section: Introductionmentioning

confidence: 99%

MASL: a Language for Multi-Agent System

Dubois¹,

Guyadec²,

Duhaut³

2009

Multiagent Systems

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“…Building on previous work in simulation and agent control [1,7,19] we have created Tapir: an expressive agent control language with a simple syntax. Tapir has been used in multiple systems by experienced and novice agent programmers and has fostered dramatic increases in productivity.…”

Section: Introductionmentioning

confidence: 99%

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mentioning

confidence: 99%

Tapir: the Evolution of an Agent Control Language

King¹,

Atkin²,

Westbrook³

2002

Self Cite

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Tapir is a general purpose, semi-declarative agent control language that extends and enhances the Hierarchical Agent Control (HAC) architecture [1]. Tapir incorporates the lessons learned from developing HAC and makes it easier and faster to create reusable and understandable actions. Tapir has been used in a battalion level war-game simulation, a robot simulator, a simulation of cellular dynamics and a simulation of rodent behavior. The language is built around constructs that define agents, sensors, actions, and messages. It has mechanisms for handling multiple agents, a flexible resource model, and multiple means for structuring concurrent actions. This paper provides an overview of HAC and its shortcomings and then explains how Tapir extends and improves upon it. Report Documentation Page Form Approved OMB No. 0704-0188Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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HAC: A Unified View of Reactive and Deliberative Activity

Cited by 7 publications

References 8 publications

Role-Based Command Hierarchy Model for Warfare Simulation

Role-Based Command Hierarchy Model for Warfare Simulation

MASL: a Language for Multi-Agent System

Tapir: the Evolution of an Agent Control Language

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