Goal reasoning (GR) has a bright future as a foundation for the research and development of
intelligent agents. GR is the study of agents that can deliberate on and self-select their …

An intelligent agent has many tasks and goals to achieve over specific time intervals. The
goals may be assigned to it or the agent may generate its own goals. In either case, the …

Computational metacognition represents a cognitive systems perspective on high-order
reasoning in integrated artificial systems that seeks to leverage ideas from human …

The cognitive systems literature describes many methods for problem solving and planning.
Given a goal state, these methods search for solutions that achieve the goal through …

Implementing human-level reasoning about action effects is an important competence for a
cognitive agent: given precondition and action descriptions, a system should be able to infer …

Goal management in autonomous agents has been a problem of interest for a long time.
Multiple goal operations are required to solve an agent goal management problem. For …

Anticipatory thinking is a complex cognitive process for assessing and managing risk in
many contexts. Humans use anticipatory thinking to identify potential future issues and …

The article examines the theory and practice of expert methods and assessments. The
article reveals the content of expert methods and expert assessments. The article examines …

Generating human-comprehensible explanations is an important requirement for
autonomous systems in human-agent teaming environments. Humans and agents often …

Intelligent physical systems as embodied cognitive systems must perform high-level
reasoning while concurrently managing an underlying control architecture. The link between …