JFACC Continuous Planning and Execution

Myers, Karen

doi:10.21236/ada383279

Cited by 46 publications

(52 citation statements)

References 9 publications

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“…We believe that, using encounters, the role played by the Game-Master could be considered somewhat between that of a theatre or cinema director whose plot events are staged and that of an IMPROV artist who has to deal with the situation live and in real time in the majority of cases, that is, a real-time director. The dynamic authoring carried out by the Games-Master within an episode corresponds to a continuous planning-replanning system [16], while the design of encounters for the next episode requires hierarchical expansion from a high-level campaign. Although RPGs work with a hypothetical plot which is dynamically modified, the mechanisms supporting this dynamic modification seem to rely too much on out-of-character and out-of-play direct interactions.…”

Section: Discussionmentioning

confidence: 99%

Solving the Narrative Paradox in VEs – Lessons from RPGs

Louchart

Aylett

2003

Intelligent Virtual Agents

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Abstract. Narrative within Virtual Environments (VEs) is a compromise between pre-authored narrative structures and user freedom in terms of interaction and physical movement. We present results of a recent investigation on the narrative structures and mechanisms of Role Playing Games (RPGs), and assess the potential of non-conventional narrative forms for computer implementation. We address the potential benefits for the research currently undertaken by the AI community in terms of storytelling and interactive storytelling.

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Section: Discussionmentioning

confidence: 99%

Solving the Narrative Paradox in VEs – Lessons from RPGs

Louchart

Aylett

2003

Intelligent Virtual Agents

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“…In particular, continual planning, in which the plan must be modified as knowledge is discovered, was first proposed in [14]. [6] uses iterative repair techniques to support a continuous planning process for autonomous spacecraft control.…”

Section: Related Workmentioning

confidence: 99%

Autonomous discovery and repair of damage in Wireless Sensor Networks

Truong

Brown

Sreenan

2013

38th Annual IEEE Conference on Local Computer Networks

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Wireless Sensor Networks in volatile environments may suffer damage, and connectivity must be restored. The repairing agent must discover surviving nodes and damage to the physical and radio environment as it moves around the sensor field to execute the repair. We compare two approaches, one which re-generates a full plan whenever it discovers new knowledge, and a second which attempts to minimise the required number of new radio nodes. We apply each approach with two different heuristics, one which attempts to minimise the cost of new radio nodes, and one which aims to minimise the travel distance. We conduct extensive simulation-based experiments, varying key parameters, including the level of damage suffered, and comparing directly with the published state-of-the-art. We quantify the relative performance of the different algorithms in achieving their objectives, and also measure the execution times to assess the impact on being able to make autonomous decisions in reasonable time

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“…Recently, techniques from the field of artificial intelligence have been applied to workflow management, in particular planning techniques [4,45,30,22,38] and cooperative agent approaches [14,24,28,39,46]. However, the usage of planning techniques for our specific problem of predictive workflow adaptation is limited.…”

Section: Related Workmentioning

confidence: 99%