Agents in annotated worlds

Doyle, Patrick; Hayes-Roth, Barbara

doi:10.1145/280765.280797

Cited by 23 publications

(12 citation statements)

References 7 publications

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“…Agents range from WebMate, an agent that helps users effectively browse and search the web (Chen and Sycara, 1998), to artificial life agents with a form of artificial evolution (Wildberger, 1996). Research has focused on protocols to coordinate the reasoning of agents (Ciampolini et al, 1999;Nielsen, 1995), annotated environments that allow agents become intelligent actors in virtual spaces (Doyle and Hayes-Roth, 1998), mobile intelligent agent systems (Hofmann et al, 1998), and the interaction between agent personality and user motivation (Lester et al, 1997).…”

Section: Intelligent Agentsmentioning

confidence: 99%

The interface: computers and human resource management

Reynolds¹

2004

IJHRDM

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An interface is the common boundary of two spaces. This paper discusses two very different interfaces. The first section focuses on the interface between the computer and the computer user. Emerging trends in human-computer interface research, including input/output devices, intelligent agents, extended reality, nomadic computing, and ubiquitous computing, are briefly reviewed. The remainder of this paper focuses on a second interface -the interface between computer technology and the human side of an organisation. In this section, the potential impact of computer technology on job design and analysis, performance appraisal, selection, training, careers, disabilities, and work/family conflict is discussed. Although emerging computer technologies impact every aspect of human resource management, research tends to focus on the technological and engineering aspects of the computer interface, rather than on the human resource impacts. This paper concludes by recommending areas for future research for those whose focus is on the organisation's human resources.

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Section: Intelligent Agentsmentioning

confidence: 99%

The interface: computers and human resource management

Reynolds¹

2004

IJHRDM

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“…Annotated environments eontaining explanations of the purpose and the uses of spaces and activities allow agents to quickly become intelligent actors in those spaces [12]. In CoMMA, the corporate memory is an annotated world: with RDF(S), we describe the semantic content of documents and the organisational state of affair through semantic annotations ( Figure 1); then agents use and infer from these annotations in order to search the mass of information of the corporate memory.…”

Section: Model-based Memorymentioning

confidence: 99%

Semantic Web and Multi-Agents Approach to Corporate Memory Management

Gandon

Dieng-Kuntz

Corby

et al. 2002

Intelligent Information Processing

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“…For example, in a city, we can denote sidewalks as areas for pedestrian entities, so that in such places they may walk or have social encounters (Doyle & Hayes± Roth, 1997). The city database has to inform all mobiles (objects with mobility such as pedestrians, cars, buses, and bicycles) as to where they may circulate.…”

Section: Virtual City Databasementioning

confidence: 99%

A paradigm for controlling virtual humans in urban environment simulations

Farenc¹,

Musse²,

Schweiss³

et al. 2000

Applied Artificial Intelligence

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T his paper presents a new architecture for simulating virtual humans in complex urban environments. The approach is based on the integration of six modules. Four key modules are used in order to manage environmental data, simulate human crowds, control interactions between virtual humans and objects, and generate tasks based on a rule± based behavioral model. T he communication between these modules is made through a client/server system. Finally, all low± level virtual human actions are delegated to a single motion and behavioral control module. Our architecture combines various human and object simulation aspects, based on the coherent extraction and classi cation of information from a virtual city dat abase. T his architecture is discussed in this paper, together with a detailed case study example.For several years, the authors have been working on modeling and simula± tions of realistic virtual humans. A most important aspect of the work was to investigate virtual human behaviors (for instance, Becheiraz and Thal± mann (1996)) and Noser and Thalmann (1996) and body motion control (Boulic et al., 1997). However, less attention has been given toward the inte± gration of these techniques in larger applications, where interaction with the virtual environment is needed. This paper presents an architecture inte± grating diOE erent aspects of human and object simulations in an urban environment using information extracted from a virtual city database. All such issues are addressed within the scope of our current application± populating virtual environments with virtual humans who can interact with objects and can walk within speci ed environmental constraints. One key aspect is the management of numerous virtual humans with the crowd module.

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Agents in annotated worlds

Cited by 23 publications

References 7 publications

The interface: computers and human resource management

The interface: computers and human resource management

Semantic Web and Multi-Agents Approach to Corporate Memory Management

A paradigm for controlling virtual humans in urban environment simulations

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