Cognitive systems engineering
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Agent Capabilities: Extending BDI Theory
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Towards Supporting Psychologically Plausible Variability in Agent-Based Human Modelling
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
The communicative multiagent team decision problem: analyzing teamwork theories and models
Journal of Artificial Intelligence Research
Confirmations and joint action
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Cognitive hybrid reasoning intelligent agent system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Intelligent agents and their applications
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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This paper outlines the abridged history of agent reasoning theories as ‘agent mind’ from the perspective of its implementation inspired by new trends such as ‘teaming’ and ‘learning’. This paper covers how the need for such new notions in agent technology introduced a change in fundamental agent theories and how it can be balanced by inducing some original cognitive notions from the field of ‘artificial mind’. This paper concentrates on the popular agent reasoning notion of Belief Desire Intention (BDI) and outlines the importance of the human-centric agent reasoning model as a step towards the next generation of agents to bridge the gap between human and agent. The current trend including the human-centric nature of agent mind and humanagent teaming is explained, and its needs and characteristics are also explained. This paper reports add-on implementation on BDI in order to facilitate humancentric nature of agent mind. This human-centric nature and concepts such as teaming agreements are utilised to aid human-agent teaming in a simulated environment. The issues in order to make agents more human-like or receptive are outlined.