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Human-computer interaction --- Artificial intelligence --- Engineering & Applied Sciences --- Computer Science --- 681.3*I2 <063> --- 681.3*I2 <063> Artificial intelligence. AI--Congressen --- Artificial intelligence. AI--Congressen --- 681.3*H52 <063> --- Information interfaces and presentation: user interfaces, input devices, input strategies, user interface management systems--Congressen --- Information Technology --- Computer Science (Hardware & Networks) --- Human-computer interaction - Congresses --- Artificial intelligence - Congresses

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Scheduling problems have been investigated since the late ?fties. Two types of applications have mainly motivated research in this area: project planning and machine scheduling. While in machine scheduling a large number of speci?c scheduling situations depending on the machine environment and the job c- racteristicshavebeenconsidered, theearlyworkinprojectplanninginvestigated scheduling situations with precedence constraints between activities assuming that su?cient resources are available to perform the activities. More recently, in project scheduling scarce resources have been taken into account leading to so-called resource-constrained project scheduling problems. On the other hand, also in machine scheduling more general and complex problems have been - vestigated. Due to these developments today both areas are much closer to each other. Furthermore, applications like timetabling, rostering or industrial scheduling are connected to both areas. This book deals with such complex scheduling problems and methods to solve them. It consists of three parts: The ?rst part (Chapters 1 and 2) contains a description of basic scheduling models with applications and an introduction into discrete optimization (covering complexity, shortest path algorithms, linear programming, network ?ow algorithms and general optimization methods). In the second part (Chapter 3) resource-constrained project scheduling problems are considered. Especially, methods like constraint propagation, branch-a- bound algorithms and heuristic procedures are described. Furthermore, lower bounds and general objective functions are discussed.

Computer capacity --- Production scheduling --- Computer algorithms. --- Planning. --- Mathematical models. --- Algorithms --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Production control --- Scheduling --- Operations research. --- Computer software. --- Algorithms. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Algorithm Analysis and Problem Complexity. --- Algorism --- Algebra --- Arithmetic --- Software, Computer --- Computer systems --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Foundations --- Computer algorithms --- 519.8 --- 681.3*F --- 681.3*I2 --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI --- 681.3*F Theory of computation --- Theory of computation --- 519.8 Operational research --- Planning --- Mathematical models --- Decision making. --- Management science. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making

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This book contains selected and revised papers of the International Workshop on Lea- ing and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference in Utrecht, The Netherlands, July 26. An important aspect in multi-agent systems (MASs) is that the environment evolves over time, not only due to external environmental changes but also due to agent int- actions. For this reason it is important that an agent can learn, based on experience, and adapt its knowledge to make rational decisions and act in this changing environment autonomously. Machine learning techniques for single-agent frameworks are well established. Agents operate in uncertain environments and must be able to learn and act - tonomously. This task is, however, more complex when the agent interacts with other agents that have potentially different capabilities and goals. The single-agent case is structurally different from the multi-agent case due to the added dimension of dynamic interactions between the adaptive agents. Multi-agent learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in many domains. Autonomous agents and multi-agent systems (AAMAS) is an emerging multi-disciplinary area encompassing computer science, software engineering, biology, as well as cognitive and social sciences. A t- oretical framework, in which rationality of learning and interacting agents can be - derstood, is still under development in MASs, although there have been promising ?rst results.

Machine learning --- Distributed artificial intelligence --- Electronic data processing --- Apprentissage automatique --- Intelligence artificielle répartie --- Traitement réparti --- Congresses. --- Distributed processing --- Congrès --- Computer Science --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Mechanical Engineering --- 681.3*I2 --- 681.3*I21 --- Artificial intelligence. AI --- Applications and expert systems (Artificial intelligence). Cartography. Games. Industrial automation. Law. Medicine and science. Natural language interfaces. Office automation--See also {681.3*H4}; {681.3*J} --- Conferences - Meetings --- Information Technology --- Artificial Intelligence --- 681.3*I21 Applications and expert systems (Artificial intelligence). Cartography. Games. Industrial automation. Law. Medicine and science. Natural language interfaces. Office automation--See also {681.3*H4}; {681.3*J} --- 681.3*I2 Artificial intelligence. AI --- Computer science. --- Computer communication systems. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Communication Networks. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Informatics --- Science --- Artificial Intelligence. --- Multi-agent systems --- LAMAS --- Autonomous agents --- AAMAS

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Machine learning --- Apprentissage automatique --- Congresses. --- Congrès --- Computer Science --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- 681.3*I26 <063> --- 681.3*I2 --- 681.3*F22 --- 681.3*F41 --- 681.3*H28 --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32}--Congressen --- Artificial intelligence. AI --- Nonnumerical algorithms and problems: complexity of proof procedures; computations on discrete structures; geometrical problems and computations; pattern matching --See also {?681.3*E2-5}; {681.3*G2}; {?681.3*H2-3} --- Mathematical logic: computability theory; computational logic; lambda calculus; logic programming; mechanical theorem proving; model theory; proof theory;recursive function theory--See also {681.3*F11}; {681.3*I22}; {681.3*I23} --- Database applications --- Conferences - Meetings --- 681.3*I2 <063> --- 681.3*H2 <063> --- 681.3*J2 <063> --- 681.3*H3 <063> --- 681.3*G3 <063> --- 681.3*I7 <063> --- 681.3*F42 <063> --- Artificial intelligence. AI--Congressen --- Database management: security; integrity; protection--See also {?681.5*E5}--Congressen --- Physical sciences and engineering (Computer applications)--Congressen --- Information storage and retrieval--Congressen --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing)--Congressen --- Text processing (Computing methodologies)--See also {681.3*H4}--Congressen --- Grammars and other rewriting systems: decision problems; grammar types; parallel rewriting systems; parsing; thue systems (Mathematical logic and formal languages)--See also {681.3*D31}--Congressen --- Information Technology --- Artificial Intelligence --- 681.3*H28 Database applications --- 681.3*F41 Mathematical logic: computability theory; computational logic; lambda calculus; logic programming; mechanical theorem proving; model theory; proof theory;recursive function theory--See also {681.3*F11}; {681.3*I22}; {681.3*I23} --- 681.3*F22 Nonnumerical algorithms and problems: complexity of proof procedures; computations on discrete structures; geometrical problems and computations; pattern matching --See also {?681.3*E2-5}; {681.3*G2}; {?681.3*H2-3} --- 681.3*I2 Artificial intelligence. AI --- 681.3*I26 <063> Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32}--Congressen --- 681.3*J2 <063> Physical sciences and engineering (Computer applications)--Congressen --- 681.3*I2 <063> Artificial intelligence. AI--Congressen --- Computer science. --- Algorithms. --- Mathematical logic. --- Database management. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- Mathematical Logic and Formal Languages. --- Database Management. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Algorism --- Algebra --- Arithmetic --- Foundations --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems