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Results 1 - 10
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12,732
Constructing Conditional Plans by a Theorem-Prover
- Journal of Artificial Intelligence Research
, 1999
"... The research on conditional planning rejects the assumptions that there is no uncertainty or incompleteness of knowledge with respect to the state and changes of the system the plans operate on. Without these assumptions the sequences of operations that achieve the goals depend on the initial sta ..."
Abstract
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Cited by 155 (6 self)
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The research on conditional planning rejects the assumptions that there is no uncertainty or incompleteness of knowledge with respect to the state and changes of the system the plans operate on. Without these assumptions the sequences of operations that achieve the goals depend on the initial
Conditional Planning with External Functions
"... Abstract. We introduce the logic-based planning language K c as an extension of K [5]. K c has two advantages upon K. First, the introduction of external function calls in the rules of a planning description allows the knowledge engineer to describe certain planning domains, e.g. involving complex a ..."
Abstract
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Cited by 6 (4 self)
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action effects, in a more intuitive fashion then is possible in K. Secondly, in contrast to the conformant planning framework K, K c is formalized as a conditional planning system, which enables K c to solve planning problems that are impossible to express in K, e.g. involving sensing actions. A
Cognitive networks
- IN PROC. OF IEEE DYSPAN 2005
, 2005
"... This paper presents a definition and framework for a novel type of adaptive data network: the cognitive network. In a cognitive network, the collection of elements that make up the network observes network conditions and then, using prior knowledge gained from previous interactions with the network ..."
Abstract
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Cited by 1106 (7 self)
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This paper presents a definition and framework for a novel type of adaptive data network: the cognitive network. In a cognitive network, the collection of elements that make up the network observes network conditions and then, using prior knowledge gained from previous interactions
UCPOP: A Sound, Complete, Partial Order Planner for ADL
, 1992
"... We describe the ucpop partial order planning algorithm which handles a subset of Pednault's ADL action representation. In particular, ucpop operates with actions that have conditional effects, universally quantified preconditions and effects, and with universally quantified goals. We prove ucpo ..."
Abstract
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Cited by 493 (25 self)
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We describe the ucpop partial order planning algorithm which handles a subset of Pednault's ADL action representation. In particular, ucpop operates with actions that have conditional effects, universally quantified preconditions and effects, and with universally quantified goals. We prove
Towards flexible teamwork
- JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
, 1997
"... Many AI researchers are today striving to build agent teams for complex, dynamic multi-agent domains, with intended applications in arenas such as education, training, entertainment, information integration, and collective robotics. Unfortunately, uncertainties in these complex, dynamic domains obst ..."
Abstract
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Cited by 570 (59 self)
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and communication is key in addressing such uncertainties. Simply tting individual agents with precomputed coordination plans will not do, for their in flexibility can cause severe failures in teamwork, and their domain-specificity hinders reusability. Our central hypothesis is that the key to such flexibility
Tabu Search -- Part I
, 1989
"... This paper presents the fundamental principles underlying tabu search as a strategy for combinatorial optimization problems. Tabu search has achieved impressive practical successes in applications ranging from scheduling and computer channel balancing to cluster analysis and space planning, and more ..."
Abstract
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Cited by 680 (11 self)
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This paper presents the fundamental principles underlying tabu search as a strategy for combinatorial optimization problems. Tabu search has achieved impressive practical successes in applications ranging from scheduling and computer channel balancing to cluster analysis and space planning
Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,
, 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract
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Cited by 622 (2 self)
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A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally
Cost Sensitive Conditional Planning
, 2005
"... While POMDPs provide a general platform for conditional planning under a wide range of quality metrics they have limited scalability. On the other hand, uniform probability conditional planners scale very well, but many lack the ability to optimize plan quality metrics. We present an innovation ..."
Abstract
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While POMDPs provide a general platform for conditional planning under a wide range of quality metrics they have limited scalability. On the other hand, uniform probability conditional planners scale very well, but many lack the ability to optimize plan quality metrics. We present an innovation
Probabilistic Conditional Planning: Epistemic . . .
, 2003
"... Mobile robots generally have only incomplete knowledge about their world. This knowledge is augmented through sensing actions. There have been several approaches in reasoning about actions that deal with sensing and knowledge. One important approach, which has been successfully realized on a robo ..."
Abstract
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with sensing, knowledge, and probabilities, which is given a formal semantics in the above description logic. Furthermore, we formulate the problem of conditional planning under probabilistic uncertainty in this framework, and give an algorithm for optimally solving it, which is based on a reduction
Conditional Planning in the Discrete Belief Space
, 2005
"... We address the non-probabilistic conditional planning problem with partial observability. Although backward search (dynamic programming) is the leading algorithm for probabilistic forms of conditional planning and for conditional planning with full observability, recent works on the nonprobabili ..."
Abstract
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Cited by 7 (0 self)
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We address the non-probabilistic conditional planning problem with partial observability. Although backward search (dynamic programming) is the leading algorithm for probabilistic forms of conditional planning and for conditional planning with full observability, recent works
Results 1 - 10
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12,732
