Consulting engineering is a business service industry, which relies heavily on project teamwork in producing knowledge for its professional service products. Engineering practices and knowledge areas encompass mainly civil, mechanical and electrical engineering, buildings physics, project

, Extraversion, Agreeableness, and Emotional Stability), teamwork knowledge, and contextual performance. Results indicate that each of these constructs is bivariately related to contex-tual performance in a team setting, with social skills, Conscientious-ness, Extraversion, and teamwork knowledge incrementally

Although group interactions are fairly common in student academic settings, student team interactions are not. The business simulation game we developed requires students to self-form student teams that compete in a semester long, production oriented, decision-making environment. Student teams are requirions related to production, scheduling, purchasing, marketing and financing of a medium sized manufacturing concern. To introduce an international aspect to an otherwise quantitative experience, student teams have the option to purchase raw materials and labor and to produce their products in the international arena. These decisions are mingled with the decisions of other teams and the computer algorithm, and the published results form the basis for subsequent rounds of decisions. As reported last year at the 2002 meeting of the International Business Association meeting in Vancouver, the graduate game algorithm creates international production, advertising and selling markets, with different accounting nuances, different relationships between the suppliers and users of capital, and different employment cultures. The decision process requires student-teams to forecast their need for labor, raw materials, machinery and financing. Successful teams will demonstrate appropriate use of various mathematical models such as multiple

of teammates, as in the ad hoc teamwork scenario. The main contribution of this paper is the first empirical evaluation of an agent cooperating with teammates not created by the authors, where the agent is not provided expert knowledge of its teammates. For this purpose, we develop a generalpurpose teammate

this issue, we have developed and implemented a multi-agent architecture called CAST that simulates teamwork and supports proactive information exchange in a dynamic environment. We present a formal model for proactive information exchange. Knowledge regarding the structure and process of a team is described

This study reviews the literature on groups to determine the knowledge, skill, and ability (KSA) requirements for teamwork. The focus is on: (1) KSAs rather than personality traits; (2) team rather than technical KSAs; and (3) the individual rather than team level of analysis. Fourteen speci

for approximately 60 minutes. This process promotes the transfer of the accumulated knowledge acquired in the teamwork course to their projects and helps identify the group processes at play in their teamwork dynamics. The objective pursued by this conference is to present the innovative formula used by the École

. We can also exploit the proxies ’ reusable general teamwork knowledge to address the second agent integration challenge. Through team-oriented pro-

Abstract. MALLET is a team-oriented agent programming language for specifying teamwork knowledge and behaviors; one interpreter of MALLET has already been implemented in the CAST (Collaborative Agents for Simulating Teamwork) system. This paper defines an operational semantics for MALLET in terms

MALLET is a team-oriented agent programming language for specifying teamwork knowledge and behaviors; one interpreter of MALLET has already been implemented in the CAST (Collaborative Agents for Simulating Teamwork) system. This paper defines an operational semantics for MALLET in terms of a