Publications

@article{cossentinoConsciousnessTriggerAdaptation2023,

title = {Consciousness as a Trigger to Adaptation},

author = { Massimo Cossentino and Luca Sabatucci and John Mylopoulos},

doi = {10.1142/S270507852250014X},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Artificial Intelligence and Consciousness},

volume = {20},

number = {1},

pages = {27--47},

abstract = {Consciousness refers to mental states of a cognitive agent that make it aware of elements of its environment and its own state.Phenomena of consciousness have been studied in Philosophy, Psychology and Cognitive Science. With the advent of Artificial Intelligence (AI) the study of consciousness has broadened to include questions such as textbackslash textbackslashvirgWhen is an AI system conscious?, textbackslash textbackslashvirgWhat role does consciousness play in the cognitive architecture of an AI system?. This paper proposes a cognitive architecture that attempts to answer such questions and is an extension of proposals for practical reasoning, founded on the notion of epistemic goals, goals where the desired state-of-affairs is knowledge of something in the environment or within the agent itself. The proposal is illustrated with an example involving an autonomous vehicle.},

keywords = {Agents, Consciousness, Goal-Oriented Approach, Goals, Practical Reasoning, Self-Consciousness},

pubstate = {published},

tppubtype = {article}

}

@article{sabatucciSupportingDynamicWorkflows2019,

title = {Supporting Dynamic Workflows with Automatic Extraction of Goals from BPMN},

author = { Luca Sabatucci and Massimo Cossentino},

doi = {10.1145/3355488},

year  = {2019},

date = {2019-01-01},

journal = {ACM Transactions on Autonomous and Adaptive Systems (TAAS)},

volume = {14},

number = {2},

pages = {1--38},

abstract = {Organizations willing to employ workflow technology have to be prepared to undertake a significant investment of time and effort due to the exceptional dynamic nature of the business environment. Today, it is unlikely that processes are modeled once to be repeatedly executed without any changes. Goal-oriented dynamic workflows are a promising approach to provide flexibility to the execution of business processes. Many goal-oriented frameworks exist in literature to be used for the purpose. However, modeling goals is a burden for the business analyst. This work proposes an automatic approach for extracting goals from a business process for supporting adaptive workflows. The approach consists of a static analysis of the global workflow state. Goals derive from individual BPMN elements and their interactions. For validating the theory, we developed the BPMN2Goals tool, which has been used for supporting a middleware for self-adaptation.},

keywords = {Automatic extraction, Business Process, Dynamic workflow, Goals, Self-Adaptive Systems},

pubstate = {published},

tppubtype = {article}

}