Integrated assessment models (IAMs) are a cornerstone of an effective approach to climate change mitigation. Despite the variety methodologies for characterising energy system, land use change, economics, and response, modelling community has open urgent request tools capable more realistic interpretation transition, capturing human behaviour, embodying principles transparency, reproducibility,...

Agent oriented software engineering (AOSE) is an emerging field in computer science  and  proposes some systematic ideas for multi agent systems analysis, implementation and maintenance. Despite the various methodologies introduced in the agent-oriented software engineering, the main challenges are defects in different aspects of methodologies. According to the defects resulted from weaknesses ...

multi agent markov decision processes (mmdps), as the generalization of markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for multi agent reinforcement learning. in this paper, a generalized learning automata based algorithm for finding optimal policies in mmdp is proposed. in the proposed algorithm, mmdp ...