Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Commitment-modeled protocols enable flexible and robust interactions among agents. Hover, existing work has focused on features and capabilities of protocols without considering the active role of agents in them. Therefore, in this paper  propose to augment agents with the ability of reasoning about and manipulating their commitments to maximize the system utility.  adopt a bottom-up approach by first investigating the intra-dependency beten each commitment's preconditions and result which leads to a novel classification of commitments as ll as a formalism to express various types of complex commitment. Within this framework,  provide a set of inference rules to benefit an agent by means of commitment refactoring which enables composition and/or decomposition of its commitments to optimize runtime performance.  also discuss the pros and cons of an agent scheduling and executing its commitments in parallel.  propose a reasoning strategy and an algorithm to minimize possible loss when the commitment is broken and maximize the overall system robustness and performance. Experiments show that concurrent schedules based on the features of commitments can boost the system performance significantly.
['Mingzhong Wang', 'Kotagiri Ramamohanarao', 'Jinjun Chen']
I am writing a research paper on a idea Reasoning intra-dependency in commitments for robust scheduling
[{"from": "human", "value": "I am writing a research paper on a idea Reasoning intra-dependency in commitments for robust scheduling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Commitment-modeled protocols enable flexible and robust interactions among agents. Hover, existing work has focused on features and capabilities of protocols without considering the active role of agents in them. Therefore, in this paper  propose to augment agents with the ability of reasoning about and manipulating their commitments to maximize the system utility.  adopt a bottom-up approach by first investigating the intra-dependency beten each commitment's preconditions and result which leads to a novel classification of commitments as ll as a formalism to express various types of complex commitment. Within this framework,  provide a set of inference rules to benefit an agent by means of commitment refactoring which enables composition and/or decomposition of its commitments to optimize runtime performance.  also discuss the pros and cons of an agent scheduling and executing its commitments in parallel.  propose a reasoning strategy and an algorithm to minimize possible loss when the commitment is broken and maximize the overall system robustness and performance. Experiments show that concurrent schedules based on the features of commitments can boost the system performance significantly."}]