Previous research on dual-tasks has shown that, under some circumstances, actions impair the perception of action-consistent stimuli, whereas, under other conditions, actions facilitate the perception of action-consistent stimuli. We propose a new model to reconcile these contrasting findings. The planning and control model (PCM) of motorvisual priming proposes that action planning binds catego...

Planning has been at the forefront of research in the areas of Artificial Intelligence and cognitive science. High-level action description languages (e.g., language A) have been used to specify, verify and diagnose plans. Timed Planning is planning under real-time constraints. To specify timed planning problems, an extension of the action description language A with real-time stopwatches, call...

This report describes work funded under the DARPA Planning and Scheduling Initiative that led to the development of SOCAP (System for Operations Crisis Action Planning). In particular, it describes lessons learned in applying SIPE2, the underlying AI planning technology within SOCAP, to the domain of military operations deliberate and crisis action planning. SOCAP was demonstrated at the U.S. C...

Planning in complex domains, including temporal and resource planning, often requires an expressive and flexible model of actions. For example, in a rover domain, the energy of the rover, a bottleneck resource, is consumed at a high rate while performing a drive action and in proportion to the distance traversed. Based on the current energy levels, the planning system can adapt the distance tra...

In tool use, the intended external goals have to be transformed into bodily movements by taking into account the target-to-movement mapping implemented by the tool. In bimanual tool use, this mapping may depend on the part of the tool that is operated and the effector used (e.g. the left and right hand at the handle bar moving in opposite directions in order to generate the same bicycle movemen...

Domain-independent planning is a notoriously hard search problem. Several systematic search techniques have been proposed in the context of various formalisms. However, despite their theoretical completeness, in practice these algorithms are incomplete because for many problems the search space is too large to be (even partially) explored. In this paper we propose a new search method in the con...

Perceptual learning mechanisms derived from Hebb’s theory of cell assemblies can generate prototypic representations capable of extending the representational power of TEC event codes. The extended capability includes categorization that accommodates “family resemblances” and problem solving that uses cognitive maps. It was almost 60 years ago that the brilliant Cambridge psychologist K. J. W. ...

Models of temporal planning are complex, due to the possibility of multiple concurrent and mutually interacting actions. This work compares two modeling languages, one with a PDDL-style action exclusion mechanism, and another with an explicit notion of resources, and investigates their implications on constraint-based search. The first mechanism forces temporal gaps in action schedules and have...

The author addresses himself to "all who work and plan for Cental health". He has been outstandingly successful in covering this wide field, both from the angles of mental defect and illness and also, very comprehensively, from that of prevention and the build-lr*g up of positive mental health. Readers in this country will be struck by the paucity of services for the mentally deficient and by t...

Embedded agents are computer systems that sense and act on their environments, monitoring complex dynamic conditions and affecting the environment in goal-directed ways. Systems of this kind are extremely difficult to design and build, and without clear conceptual models and powerful programming tools, the complexities of the real world can quickly become overwhelming. In certain special cases,...