KidSim: programming agents without a programming language
Communications of the ACM
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Artificial minds
Multiagent negotiation under time constraints
Artificial Intelligence
Artificial life meets entertainment: lifelike autonomous agents
Communications of the ACM
Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Coalitions among computationally bounded agents
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Negotiation among self-interested computationally limited agents
Negotiation among self-interested computationally limited agents
Multi-agent support for distributed engineering design
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Computer integrated construction: A review and proposals for future direction
Advances in Engineering Software
Concepts and Fields of Relational Justice
Computable Models of the Law
A multi-agent approach to load consolidation in transportation
Advances in Engineering Software
Sociomateriality Implications of Multi-Agent Supported Collaborative Work Systems
International Journal of Intelligent Information Technologies
An adaptive approach for decision making tactics in automated negotiation
Applied Intelligence
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This paper is a review of intelligent agents with respect to their use within the Agent-Based Support for The Collaborative Design of Light Industrial Buildings (ADLIB) project. In the ADLIB project, the core objective is to develop a multi-agent system (MAS) framework for the representation of activities and processes involved in collaborative design of light industrial buildings. This includes the planning and fabrication of steel structural components. ADLIB intelligent agents are concerned with modelling action and knowledge in a collaborative environment. The design process that ADLIB's agents are trying to automate is the interaction and negotiation between specialist design team members. Each team member with a different area of expertise will be primarily concerned with his own area of interest. This paper starts with an introduction to intelligent agents. It then moves on to a discussion of agent classification systems and negotiation theories and their applications in MAS. The last section analyses the needs of agents within the ADLIB project. A negotiation protocol and strategy are then presented.