Dunskus, B.V., Grecu, D.L., Brown, D.C. and Berker, I.: 1995, Using Single Function Agents to Investigate Conflicts, AI EDAM: Artificial Intelligence in Engineering Design, Analysis and Manufacturing, 9(4), special issue on Conflict Management in Design, I. Smith (ed.), Cambridge University Press, pp. 299-312.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....accept and reject goals, and notify other agents of goal cancellation, satisfaction, or failure. Another language, AgenTalk (Kuwabara, Ishida, and Osato, 1995) has an inheritance or specialization mechanism for introducing new protocols as extensions of predefined ones. Related work by (Dunskus et al. 1995) has resulted in a preliminary categorization of the basic types of agents. Selectors, Estimators, Evaluators, Critics, Praisers, and Suggestors have been considered as narrow scope, or single function agents. This approach is valuable in that it addresses given applications at a more abstract ....

....All plans have a set of tasks that are meant to achieve the goal; plans with collaboration follow a script for these tasks. As stated in section 3.3, this script can be derived from the event trace for the use case; further, the script is a specialization of the script for the abstract use case. (Dunskus et al. 1995) discusses the conflicts that can arise between a selector single function agent and an evaluator. If an evaluator gives a negative result, it is a critic. Alternatively a positive evaluator is a praiser, and an evaluator that can make a suggestion is a suggestor. Rather than make these ....

Dunskus, B. V., D. L. Grecu, D. C. Brown, and I. Berker, "Using Single Functions Agents to Investigate Conflict", AI in Engineering Design and Manufacturing, special issue in Conflict Management in Multi-Agent Systems, to appear, 1995.

....models is being compiled at BT. Many diverse role models are under investigation, but roles pertinent to workflow and process management are emphasized. The roles in the catalog have been compiled from various sources, including: frameworks [4, 18] FIPA [7] KADS [25] and single function agents [8]. The objectives of this research are the following: to identify categories or types of roles played by agents. to investigate the meaning and significance of agent roles and role modelling . to determine the tools and techniques that are needed for agent role modelling . to uncover and ....

Dunskus B.V, Grecu D.L., Brown .D.C & Berker I. "Using Single Function Agents to Investigate Conflicts", AI EDAM, Special Issue: Conflict Management in Design, (Ed.) Smith I., Cambridge UP, 1995.

....Failure Announced task announcement bidding no award award Success Start Failure Announced task announcement bidding no award award Check direct award Direct award award no award reject accept Figure 1a. Contract Net Script Figure 1b Contract Net Script with Direct Award Additions Related work by (Dunskus et al. 1995) has resulted in a preliminary categorization of the basic types of agents. Selectors, Estimators, Evaluators, Critics, Praisers, and Suggestors have been considered as narrow scope, or single function agents. This approach is valuable in that it addresses given applications at a more abstract ....

....exchange becomes a coordination protocol (section 2.1.2) Use cases with one or more actors can be abstracted and specialized. At the correct level of abstraction, the type of behavior exhibited by the actor(s) may be recognized as belonging to that of a certain type of single function agent (Dunskus et al. 1995). Additionally, the interchange between two of the actors in the event trace can be identified as an abstract or specialized coordination protocol. 3.3 An Agent Oriented Methodology Based on the discussions above, agents appear in applications when pro active behavior automated decision ....

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Dunskus, B. V., D. L. Grecu, D. C. Brown, and I. Berker, "Using Single Functions Agents to Investigate Conflict", AI in Engineering Design and Manufacturing, special issue in Conflict Management in Multi-Agent Systems, to appear, 1995.

....liable to considerable change during the life span of a project. The types of interaction encountered in such real life engineering situations show how intricate such processes can be. Within the multi agent community the problem of distributed problem solving has been recognised; see for example (Dunskus, Grecu, Brown and Berker, 1995; Petrie, 1994) In (Jennings, 1995) an informal multi agent model for cooperative problem solving is proposed and its implementation in one specific environment is described. This model was developed in the context of the ARCHON project which focussed on electricity transportation management ....

Dunskus, B.V., D.L. Grecu, D.C. Brown, I. Berker (1995). Using single function agents to investigate conflict.

....study the application of the multi agent paradigm we use to real problems, as its development has mostly been concerned with a more theoretical view. The design system we use is built from small knowledge based (expert) systems that we call Single Function Agents (SiFAs) Victor Brown 1995] [Dunskus et al. 1995], Berker Brown 1995] There are a small set of types of agents, each of which has restricted capabilities. SiFAs will be explained in more detail below. 1.1 THE TYPE OF DESIGN PROBLEM The type of design problem addressed is Parametric design. This occurs when the topology of the artifact ....

.... They provide a context for precisely conceptualizing, generating, clarifying and categorizing: types of knowledge (e.g. conflict identification [Berker Brown 1995] types of reasoning (e.g. conflict detection [Berker Brown 1995] types of conflicts (e.g. Estimator Critic [Dunskus et al. 1995]) trade offs in the design process (e.g. material processing vs. cost) what might be learned in multi agent design systems (e.g. selection preferences [Grecu Brown 1995] knowledge for knowledge acquisition (e.g. the selection list [Currier 1995] 3.2 WHAT SIFAS AREN T SiFAs ....

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Dunskus, B.V., Grecu, D.L., Brown, D.C. and Berker, I.: 1995, Using Single Function Agents to Investigate Conflicts, AI EDAM: Artificial Intelligence in Engineering Design, Analysis and Manufacturing, 9(4), special issue on Conflict Management in Design, I. Smith (ed.), Cambridge University Press, pp. 299-312.

....The agents that have overconstrained the design and the agent that cannot proceed as a result of these constraints have to agree on a set of values that allows them all to accomplish their respective tasks. Previous work on single function agents has extensively looked into conflict classification (Dunskus et al. 1995), conflict detec Using Learning to Improve Multi Agent Systems for Design 37 tion (Berker and Brown 1996) and conflict resolution (Brown, Dunskus and Grecu 1994) The conflict resolution strategies that were successfully tested in the SiFA environment will be reimplemented in the current agent ....

....This decision is supported by two arguments: We are modeling knowledge based design problem solving, and therefore a rule based implementation seems to be a natural choice. We intend to reuse modules from previous rule based implementations of our Single Function Agent architecture (Dunskus et al. 1995). The development environment will use the CLIPS framework (Giarratano Riley 1993) CLIPS offers several additional advantages beyond the rule based knowledge modeling support: CLIPS implements an object oriented model that allows for rich data modeling possibilities and for object pattern ....

B.V. Dunskus, D.L. Grecu, D.C. Brown and I. Berker. "Using Single Function Agents to Investigate Conflict," Artificial Intelligence for Engineering Design, Analysis and Manufacturing 9, (1995): 299-312.

....in the problem the system attempts to solve. The agents have complete autonomy in organizing their actions, with regard to the decisions they take as design specialists, or to their interactions with the rest of the group. The agent model has evolved from the Single Function Agent (SiFA) paradigm (Dunskus et al. 1995), and includes specialized, knowledge based design agents with precise functionality. Each agent has a predefined function in the design process. The agent types currently implemented in LEAD are: Designers: agents that are responsible for taking design decisions, such as selecting values for ....

Dunskus, B.V., D.L. Grecu, D.C. Brown, and I. Berker (1995). Using Single Function Agents to Investigate Conflict. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Special issue on Conflict Management in Design, I. Smith (ed.). 9:299-312.

....in the problem the system attempts to solve. The agents have complete autonomy in organizing their actions, with regard to the decisions they take as design specialists, or to their interactions with the rest of the group. The agent model evolved from the Single Function Agent (SiFA) paradigm (Dunskus et al. 1995), and includes specialized, knowledge based design agents with precise functionality. Each agent has a predefined function in the design process. The agent types we see as most important are: Designers agents that are responsible for taking design decisions, such as selecting values for ....

....Grecu David C. Brown constrained the design and the agent that cannot proceed as a result of these constraints have to agree on a set of values that allows them all to accomplish their respective tasks. Previous work on single function agents has looked extensively into conflict classification (Dunskus et al. 1995), conflict detection (Berker and Brown 1996) and conflict resolution (Brown, Dunskus, and Grecu 1994) The conflict resolution strategies that were successfully tested in the SiFA environment are reimplemented in the current agent model. Communication is implemented using a speech act ....

Dunskus, B.V., D.L. Grecu, D.C. Brown, and I. Berker (1995). Using Single Function Agents to Investigate Conflict. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Special issue on Conflict Management in Design, I. Smith (ed.). 9:299-312.

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Dunskus, B. V., D. L. Grecu, D. C. Brown, and I. Berker, "Using Single Functions Agents to Investigate Conflict", AI in Engineering Design and Manufacturing, special issue in Conflict Management in Multi-Agent Systems, to appear, 1995.

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